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https://www.pylenin.com/python-bootcamp/

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Go from beginner to intermediate in Python programming with this free Bootcamp.

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https://www.askpython.com/python/examples/easy-games-in-python

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Today we're going to learn how to code some easy games in Python using a few common Python modules.
Why are we using Python?
Python is a well-known programming language. Python is very easy to understand and code. It is believed to be developer-friendly. Any beginner can learn to code in python within a short span of time.

Some of most interesting features of this language are as follows :

Python is open source and free

Portable and dynamic

Super easy to understand etc.

Creating Easy Games in Python

Let's now implement some easy games in Python that you can build as a beginner to get a headstart in your learning curve!

1. A Quiz Game in Python

This is a very simple text-based game in python. It a small quiz which you can make for yourself as well or your friends. We do not need to import any modules for this game which makes it easier! Try it yourself 😉

Here are use:

print('Welcome to AskPython Quiz')
answer=input('Are you ready to play the Quiz ? (yes/no) :')
score=0
total_questions=3

if answer.lower()=='yes':
    answer=input('Question 1: What is your Favourite programming language?')
    if answer.lower()=='python':
        score += 1
        print('correct')
    else:
        print('Wrong Answer :(')


    answer=input('Question 2: Do you follow any author on AskPython? ')
    if answer.lower()=='yes':
        score += 1
        print('correct')
    else:
        print('Wrong Answer :(')

    answer=input('Question 3: What is the name of your favourite website for learning Python?')
    if answer.lower()=='askpython':
        score += 1
        print('correct')
    else:
        print('Wrong Answer :(')

print('Thankyou for Playing this small quiz game, you attempted',score,"questions correctly!")
mark=(score/total_questions)*100
print('Marks obtained:',mark)
print('BYE!')

Output:

Welcome to AskPython Quiz
Are you ready to play the Quiz ? (yes/no) :yes
Question 1: What is your Favourite programming language?python
correct
Question 2: Do you follow any author on AskPython? yes
correct
Question 3: What is the name of your favourite website for learning Python?askpython
correct
Thankyou for Playing this small quiz game, you attempted 3 questions correctly!
Marks obtained: 100.0
BYE!

2. Pong Game in Python

Most of us have heard about the famous pong game. Many of us love playing it. Today lets learn how to code this classic game using the python programming language!

Before starting with the coding part we first need to install the turtle module. The turtle module is a Python library that enables users to create pictures and shapes by providing them with a virtual canvas.

If you don't already have it, you can install the library using pip.

C:\Users\Admin>pip install turtle

Read more about the turtle library in their official documentation.

Try the code yourself!

import turtle as t
playerAscore=0
playerBscore=0

#create a window and declare a variable called window and call the screen()
window=t.Screen()
window.title("The Pong Game")
window.bgcolor("green")
window.setup(width=800,height=600)
window.tracer(0)

#Creating the left paddle
leftpaddle=t.Turtle()
leftpaddle.speed(0)
leftpaddle.shape("square")
leftpaddle.color("white")
leftpaddle.shapesize(stretch_wid=5,stretch_len=1)
leftpaddle.penup()
leftpaddle.goto(-350,0)

#Creating the right paddle
rightpaddle=t.Turtle()
rightpaddle.speed(0)
rightpaddle.shape("square")
rightpaddle.color("white")
rightpaddle.shapesize(stretch_wid=5,stretch_len=1)
rightpaddle.penup()
rightpaddle.goto(-350,0)

#Code for creating the ball
ball=t.Turtle()
ball.speed(0)
ball.shape("circle")
ball.color("red")
ball.penup()
ball.goto(5,5)
ballxdirection=0.2
ballydirection=0.2

#Code for creating pen for scorecard update
pen=t.Turtle()
pen.speed(0)
pen.color("Blue")
pen.penup()
pen.hideturtle()
pen.goto(0,260)
pen.write("score",align="center",font=('Arial',24,'normal'))

#code for moving the leftpaddle
def leftpaddleup():
    y=leftpaddle.ycor()
    y=y+90
    leftpaddle.sety(y)

def leftpaddledown():
    y=leftpaddle.ycor()
    y=y+90
    leftpaddle.sety(y)

#code for moving the rightpaddle
def rightpaddleup():
    y=rightpaddle.ycor()
    y=y+90
    rightpaddle.sety(y)

def rightpaddledown():
    y=rightpaddle.ycor()
    y=y+90
    rightpaddle.sety(y)

#Assign keys to play
window.listen()
window.onkeypress(leftpaddleup,'w')
window.onkeypress(leftpaddledown,'s')
window.onkeypress(rightpaddleup,'Up')
window.onkeypress(rightpaddledown,'Down')

while True:
    window.update()

    #moving the ball
    ball.setx(ball.xcor()+ballxdirection)
    ball.sety(ball.ycor()+ballxdirection)

    #border set up
    if ball.ycor()>290:
        ball.sety(290)
        ballydirection=ballydirection*-1
    if ball.ycor()<-290:
        ball.sety(-290)
        ballydirection=ballydirection*-1

    if ball.xcor() > 390:
        ball.goto(0,0)
        ball_dx = ball_dx * -1
        player_a_score = player_a_score + 1
        pen.clear()
        pen.write("Player A: {}                    Player B: {} ".format(player_a_score,player_b_score),align="center",font=('Monaco',24,"normal"))
        os.system("afplay wallhit.wav&")



    if(ball.xcor()) < -390: # Left width paddle Border
        ball.goto(0,0)
        ball_dx = ball_dx * -1
        player_b_score = player_b_score + 1
        pen.clear()
        pen.write("Player A: {}                    Player B: {} ".format(player_a_score,player_b_score),align="center",font=('Monaco',24,"normal"))
        os.system("afplay wallhit.wav&")

     # Handling the collisions with paddles.

    if(ball.xcor() > 340) and (ball.xcor() < 350) and (ball.ycor() < rightpaddle.ycor() + 40 and ball.ycor() > rightpaddle.ycor() - 40):
        ball.setx(340)
        ball_dx = ball_dx * -1
        os.system("afplay paddle.wav&")

    if(ball.xcor() < -340) and (ball.xcor() > -350) and (ball.ycor() < leftpaddle.ycor() + 40 and ball.ycor() > leftpaddle.ycor() - 40):
        ball.setx(-340)
        ball_dx = ball_dx * -1
        os.system("afplay paddle.wav&")

Output:

Pong Game

3. Hungry Snake Game in Python

This was most of our favorite game when we were kids. We can actually code this game in python by importing just two modules! How cool is that!

Let's get started!

Firstly, we need to install turtle. If you don't have it already installed, open your cmd and type in the following command.

C:\Users\Admin>pip install turtle

Now we will install the random module. The random module is used to generate random numbers. In your cmd type in the following command.

C:\Users\Admin>pip install random2

Code and Try it yourself and enjoy the game!

import turtle
import random

w = 500
h = 500
food_size = 10
delay = 100

offsets = {
    "up": (0, 20),
    "down": (0, -20),
    "left": (-20, 0),
    "right": (20, 0)
}

def reset():
    global snake, snake_dir, food_position, pen
    snake = [[0, 0], [0, 20], [0, 40], [0, 60], [0, 80]]
    snake_dir = "up"
    food_position = get_random_food_position()
    food.goto(food_position)
    move_snake()

def move_snake():
    global snake_dir

    new_head = snake[-1].copy()
    new_head[0] = snake[-1][0] + offsets[snake_dir][0]
    new_head[1] = snake[-1][1] + offsets[snake_dir][1]


    if new_head in snake[:-1]:
        reset()
    else:
        snake.append(new_head)


        if not food_collision():
            snake.pop(0)


        if snake[-1][0] > w / 2:
            snake[-1][0] -= w
        elif snake[-1][0] < - w / 2:
            snake[-1][0] += w
        elif snake[-1][1] > h / 2:
            snake[-1][1] -= h
        elif snake[-1][1] < -h / 2:
            snake[-1][1] += h


        pen.clearstamps()


        for segment in snake:
            pen.goto(segment[0], segment[1])
            pen.stamp()


        screen.update()

        turtle.ontimer(move_snake, delay)

def food_collision():
    global food_position
    if get_distance(snake[-1], food_position) < 20:
        food_position = get_random_food_position()
        food.goto(food_position)
        return True
    return False

def get_random_food_position():
    x = random.randint(- w / 2 + food_size, w / 2 - food_size)
    y = random.randint(- h / 2 + food_size, h / 2 - food_size)
    return (x, y)

def get_distance(pos1, pos2):
    x1, y1 = pos1
    x2, y2 = pos2
    distance = ((y2 - y1) ** 2 + (x2 - x1) ** 2) ** 0.5
    return distance
def go_up():
    global snake_dir
    if snake_dir != "down":
        snake_dir = "up"

def go_right():
    global snake_dir
    if snake_dir != "left":
        snake_dir = "right"

def go_down():
    global snake_dir
    if snake_dir!= "up":
        snake_dir = "down"

def go_left():
    global snake_dir
    if snake_dir != "right":
        snake_dir = "left"


screen = turtle.Screen()
screen.setup(w, h)
screen.title("Snake")
screen.bgcolor("blue")
screen.setup(500, 500)
screen.tracer(0)


pen = turtle.Turtle("square")
pen.penup()


food = turtle.Turtle()
food.shape("square")
food.color("yellow")
food.shapesize(food_size / 20)
food.penup()


screen.listen()
screen.onkey(go_up, "Up")
screen.onkey(go_right, "Right")
screen.onkey(go_down, "Down")
screen.onkey(go_left, "Left")


reset()
turtle.done()

Output:

Conclusion

And that's it! These are some of the easy games in Python that you can create as a beginner and have some fun! We loved building these projects and we hope you do too!

# data[].attributes.attachment_link.description
Today we're going to learn how to code some easy games in Python using a few common Python modules. Why are we using Python? Python is a well-known programming language. Python is very easy to understand and code. It is believed to be developer-friendly.

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https://www.teachoo.com/subjects/computer-science/

# data[].attributes.attachment_link.title
Computer Science (Python) for Class 11, 12 - Notes, Practice Questions

# data[].attributes.attachment_link.description
Learn Python (Computer Science) for Class 11 and 12,Computer Scienceis the study ofcomputersandcomputational systems. Principal areas of study within Computer Science includeartificial intelligence,computer systemsandnetworks,security,database systems,human computer interaction,visionandgraphics,num

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https://www.teachoo.com/subjects/computer-science/class-11/chapter-5-class-11---getting-started-with-python/

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Chapter 5 Class 11 - Getting started with python - Computer Science - Class 11

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https://realpython.com/python-numbers/

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You don't need to be a math whiz to program well. The truth is, few programmers need to know more than basic algebra. Of course, how much math you need to know depends on the application you're working on. In general, the level of math required to be a programmer is lower than you might expect. Although math and computer programming aren't as correlated as some people might believe, numbers are an integral part of any programming language, and Python is no exception.
In this tutorial, you'll learn how to:

Create integers and floating-point numbers

Round numbers to a given number of decimal places

Format and display numbers in strings

Let's get started!

Note: This tutorial is adapted from the chapter "Numbers and Math" in Python Basics: A Practical Introduction to Python 3. If you'd prefer a video course, then check out Python Basics: Numbers and Math.

The book uses Python's built-in IDLE editor to create and edit Python files and interact with the Python shell, so you will see references to IDLE's built-in debugging tools throughout this tutorial. However, you should have no problems running the example code from the editor and environment of your choice.

Free Bonus: 5 Thoughts On Python Mastery, a free course for Python developers that shows you the roadmap and the mindset you'll need to take your Python skills to the next level.

Integers and Floating-Point Numbers

Python has three built-in numeric data types: integers, floating-point numbers, and complex numbers. In this section, you'll learn about integers and floating-point numbers, which are the two most commonly used number types. You'll learn about complex numbers in a later section.

Integers

An integer is a whole number with no decimal places. For example, 1 is an integer, but 1.0 isn't. The name for the integer data type is int, which you can see with type():

You can create an integer by typing the desired number. For instance, the following assigns the integer 25 to the variable num:

When you create an integer like this, the value 25 is called an integer literal because the integer is literally typed into the code.

You may already be familiar with how to convert a string containing an integer to a number using int(), which is especially useful when working with user input. For example, the following converts the string "25" to the integer 25:

int("25") is not an integer literal because the integer value is created from a string.

When you write large numbers by hand, you typically group digits into groups of three separated by a comma or a decimal point. The number 1,000,000 is a lot easier to read than 1000000.

In Python, you can't use commas to group digits in integer literals, but you can use underscores (_). Both of the following are valid ways to represent the number one million as an integer literal:

There's no limit to how large an integer can be, which might be surprising considering that computers have a finite amount of memory. Try typing the largest number you can think of into IDLE's interactive window. Python can handle it with no problem!

Floating-Point Numbers

A floating-point number, or float for short, is a number with a decimal place. 1.0 is a floating-point number, as is -2.75. The name of the floating-point data type is float:

Like integers, floats can be created from floating-point literals or by converting a string to a float with float():

There are three ways to represent a floating-point literal. Each of the following creates a floating-point literal with a value of one million:

The first two ways are similar to the two techniques for creating integer literals. The third approach uses E notation to create a float literal.

Note: E notation is short for exponential notation. You may have seen this notation used by calculators to represent numbers that are too big to fit on the screen.

Python also uses E notation to display large floating-point numbers:

Unlike integers, floats do have a maximum size. The maximum floating-point number depends on your system, but something like 2e400 ought to be well beyond most machines' capabilities. 2e400 is 2×10⁴⁰⁰, which is far more than the total number of atoms in the universe!

When you reach the maximum floating-point number, Python returns a special float value, inf:

Python also uses -inf, which stands for negative infinity and represents a negative floating-point number that is beyond the minimum floating-point number allowed on your computer:

You probably won't come across inf and -inf very often as a programmer unless you regularly work with extremely large numbers.
Check Your Understanding
Expand the block below to check your understanding:

Write a program that creates two variables, num1 and num2. Both num1 and num2 should be assigned the integer literal 25000000, one written with underscores and one without. Print num1 and num2 on two separate lines.

You can expand the block below to see a solution:

First, assign the value 25000000 to num1 without any underscores:

Next, on a new line, assign the value 25_000_000 to the variable num2:

Print both variables on separate lines by passing each variable to separate calls of :

In the output, you can see that both numbers are the same:

Although both variables are assigned the value 25000000, writing the value using underscores to group digits makes it much easier for a human to quickly work out what the number is. No more squinting at the screen and trying to count zeros!

When you're ready, you can move on to the next section.

Arithmetic Operators and Expressions

In this section, you'll learn how to do basic arithmetic, such as addition, subtraction, multiplication, and division, with numbers in Python. Along the way, you'll learn some conventions for writing mathematical expressions in code.

Addition

Addition is performed with the + operator:

The two numbers on either side of the + operator are called operands. In the above example, both operands are integers, but operands don't need to be the same type.

You can add an int to a float with no problem:

Notice that the result of 1.0 + 2 is 3.0, which is a float. Anytime a float is added to a number, the result is another float. Adding two integers together always results in an int.

Note: PEP 8 recommends separating both operands from an operator with a space.

Python can evaluate 1+1 just fine, but 1 + 1 is the preferred format because it's generally easier to read. This rule of thumb applies to all the operators in this section.

Subtraction

To subtract two numbers, just put a - operator between them:

The - operator is also used to denote negative numbers:

You can subtract a negative number from another number, but as you can see below, this can sometimes look confusing:

Using parentheses is a good idea because it makes your code more explicit. Computers execute code, but humans read code. Anything you can do to make your code easier to read and understand is a good thing.

Multiplication

To multiply two numbers, use the * operator:

Division

The / operator is used to divide two numbers:

Keep in mind that int() discards any fractional part of the number:

Integer Division

If writing int(5.0 / 2) seems a little long winded to you, Python provides a second division operator called the integer division operator (//), also known as the floor division operator:

The // operator first divides the number on the left by the number on the right and then rounds down to an integer. This might not give the value you expect when one of the numbers is negative.

For example, -3 // 2 returns -2. First, -3 is divided by 2 to get -1.5. Then -1.5 is rounded down to -2. On the other hand, 3 // 2 returns 1 because both numbers are positive.

The above example also illustrates that // returns a floating-point number when one of the operands is a float. This is why 9 // 3 returns the integer 3, and 5.0 // 2 returns the float 2.0.

Let's see what happens when you try to divide a number by 0:

Python gives you a ZeroDivisionError, letting you know that you just tried to break a fundamental rule of the universe.

Exponents

You can raise a number to a power using the ** operator:

Exponents don't have to be integers. They can also be floats:

You can also raise numbers to negative powers:

Raising a number to a negative power is the same as dividing 1 by the number raised to the positive power. So, 2 ** -1 is the same as 1 / (2 ** 1), which is the same as 1 / 2, or 0.5. Similarly, 2 ** -2 is the same as 1 / (2 ** 2), which is the same as 1 / 4, or 0.25.

The Modulus Operator

The % operator, or the modulus, returns the remainder of dividing the left operand by the right operand:

3 divides 5 once with a remainder of 2, so 5 % 3 is 2. Similarly, 7 divides 20 twice with a remainder of 6. In the last example, 16 is divisible by 8, so 16 % 8 is 0. Anytime the number to the left of % is divisible by the number to the right, the result is 0.

This makes sense because 1 % 0 gives the remainder of dividing 1 by 0. But you can't divide 1 by 0, so Python raises a ZeroDivisionError.

Note: When you work in IDLE's interactive window, errors like ZeroDivisionError don't cause much of a problem. The error is displayed and a new prompt pops up, allowing you to continue writing code.

However, when Python encounters an error while running a script, the execution stops. In other words, the program crashes. In chapter 8 of Python Basics, you'll learn how to handle errors so that your programs don't crash unexpectedly.

Things get a little tricky when you use the % operator with negative numbers:

For example, to find 5 % -3, Python first finds (5 // -3). Since 5 / -3 is about -1.67, that means 5 // -3 is -2. Now Python multiplies that by -3 to get 6. Finally, Python subtracts 6 from 5 to get -1.

Arithmetic Expressions

You can combine operators to form complex expressions. An expression is a combination of numbers, operators, and parentheses that Python can compute, or evaluate, to return a value.

Here are some examples of arithmetic expressions:

The rules for evaluating expressions are the same as in everyday arithmetic. In school, you probably learned these rules under the name order of operations.

The *, /, //, and % operators all have equal precedence, or priority, in an expression, and each of these has a higher precedence than the + and - operators. This is why 2*3 - 1 returns 5 and not 4. 2*3 is evaluated first, because * has higher precedence than the - operator.

You may notice that the expressions in the previous example do not follow the rule for putting a space on either side of all of the operators. PEP 8 says the following about whitespace in complex expressions:

If operators with different priorities are used, consider adding whitespace around the operators with the lowest priority(ies). Use your own judgment; however, never use more than one space, and always have the same amount of whitespace on both sides of a binary operator. ( Source)

Another good practice is to use parentheses to indicate the order in which operations should be performed, even if the parentheses aren't necessary. For instance, (2 * 3) - 1 is potentially clearer than 2*3 - 1.

Make Python Lie to You

What do you think 0.1 + 0.2 is? The answer is 0.3, right? Let's see what Python has to say about it. Try this out in the interactive window:

Well, that's . . . almost right. What in the heck is going on here? Is this a bug in Python?

No, it's not a bug! It's a floating-point representation error, and it has nothing to do with Python. It's related to the way floating-point numbers are stored in a computer's memory.

The number 0.1 can be represented as the fraction 1/10. Both the number 0.1 and its fraction 1/10 are decimal representations, or base-10 representations. Computers, however, store floating-point numbers in base-2 representation, more commonly called binary representation.

When represented in binary, something familiar yet possibly unexpected happens to the decimal number 0.1. The fraction 1/3 has no finite decimal representation. That is, 1/3 = 0.3333... with infinitely many 3s after the decimal point. The same thing happens to the fraction 1/10 in binary.

The binary representation of 1/10 is the following infinitely repeating fraction:

0.00011001100110011001100110011...

Computers have finite memory, so the number 0.1 must be stored as an approximation and not as its true value. The approximation that gets stored is slightly higher than the actual value and looks like this:

0.1000000000000000055511151231257827021181583404541015625

You may have noticed, however, that when asked to print 0.1, Python prints 0.1 and not the approximated value above:

Python doesn't just chop off the digits in the binary representation for 0.1. What actually happens is a little more subtle.

Because the approximation of 0.1 in binary is just that-an approximation-it's entirely possible that more than one decimal number has the same binary approximation.

For example, both 0.1 and 0.10000000000000001 have the same binary approximation. Python prints out the shortest decimal number that shares the approximation.

This explains why, in the first example of this section, 0.1 + 0.2 doesn't equal 0.3. Python adds together the binary approximations for 0.1 and 0.2, which gives a number that is not the binary approximation for 0.3.

If all this is starting to make your head spin, don't worry! Unless you're writing programs for finance or scientific computing, you don't need to worry about the imprecision of floating-point arithmetic.

Math Functions and Number Methods

Python has a few built-in functions that you can use to work with numbers. In this section, you'll learn about three of the most common:

1. round(), for rounding numbers to some number of decimal places

2. abs(), for getting the absolute value of a number

3. pow(), for raising a number to some power

You'll also learn about a method you can use with floating-point numbers to check whether they have an integer value.

Round Numbers With round()

You can use round() to round a number to the nearest integer:

round() has some unexpected behavior when the number ends in .5:

Python 3 rounds numbers according to a strategy called rounding ties to even. A tie is any number whose last digit is five. 2.5 and 3.1415 are ties, but 1.37 is not.

Note: Rounding ties to even is the rounding strategy recommended for floating-point numbers by the IEEE(Institute of Electrical and Electronics Engineers) because it helps limit the impact that rounding has on operations involving lots of numbers.

The IEEE maintains a standard called IEEE 754 for dealing with floating-point numbers on a computer. It was published in 1985 and is still commonly used by hardware manufacturers.

You can round a number to a given number of decimal places by passing a second argument to round():

The second argument of round() must be an integer. If it isn't, then Python raises a TypeError:

Sometimes round() doesn't get the answer quite right:

2.675 is a tie because it lies exactly halfway between the numbers 2.67 and 2.68. Since Python rounds ties to the nearest even number, you would expect round(2.675, 2) to return 2.68, but it returns 2.67 instead. This error is the result of a floating-point representation error, not a bug in round().

Dealing with floating-point numbers can be frustrating, but this frustration isn't specific to Python. All languages that implement the IEEE floating-point standard have the same issues, including C/C++, Java, and JavaScript.

In most cases, though, the little errors encountered with floating-point numbers are negligible, and the results of round() are perfectly useful.

Find the Absolute Value With abs()

The absolute value of a number n is just n if n is positive and - n if n is negative. For example, the absolute value of 3 is 3, while the absolute value of -5 is 5.

To get the absolute value of a number in Python, you use :

abs() always returns a positive number of the same type as its argument. That is, the absolute value of an integer is always a positive integer, and the absolute value of a float is always a positive float.

Raise to a Power With pow()

Earlier, you learned how to raise a number to a power using the ** operator. You can also use pow() to achieve the same result.

pow() takes two arguments. The first argument is the base, or the number to be raised to a power, and the second argument is the exponent, or the power to which the number is to be raised.

Just like with **, the exponent in pow() can be negative:

So, what's the difference between ** and pow()?

The pow() function accepts an optional third argument that computes the first number raised to the power of the second number, then takes the modulo with respect to the third number. In other words, pow(x, y, z) is equivalent to (x ** y) % z.

First, 2 is raised to the power 3 to get 8. Then 8 % 2 is calculated, which is 0 because 2 divides 8 with no remainder.

Check if a Float Is Integral

You may be familiar with string methods like .lower(), .upper(), and .find(). Integers and floating-point numbers also have methods.

Number methods aren't used very often, but there is one that can be useful. Floating-point numbers have an .is_integer() method that returns True if the number is integral-meaning it has no fractional part-and otherwise returns False:

One use for .is_integer() is for validating user input. For example, if you were writing an online ordering app for a pizzeria, then you would want to check that the quantity of pizzas the customer inputs is a whole number.

For even more math fun, check out The Python math Module: Everything You Need to Know!
Check Your Understanding
Expand the block below to check your understanding:

Write a program that asks the user to input a number and then displays that number rounded to two decimal places. When run, your program should look like this:

Enter a number: 5.432 5.432 rounded to 2 decimal places is 5.43

You can expand the block below to see a solution:

To get input from a user, pass the prompt to input():

Notice the space at the end of the prompt string. This ensures there's a space between the text entered by the user when they start typing and the colon in the prompt.

The value returned by input() is a string, so you need to convert it to a float before you can round the number:

Keep in mind that the above code assumes that the string user_input really does contain a numerical value and not any other kind of text.

Note: If user_input does contain nonnumerical text, then a ValueError will be raised. Check out Python Exceptions: An Introduction for information on how to handle these kinds of errors.

Now you can use round() to round the value to two decimal places:

Remember, the first argument to round() should be the number to be rounded. The second argument is the number of decimal places to round to.

Finally, you can print the ouput by inserting rounded_num into an f-string:

round() is a great way to round values, but if you're only rounding values in order to display them, then you might consider using the techniques described in the following section.

When you're ready, you can move on to the next section.

Print Numbers in Style

Displaying numbers to a user requires inserting numbers into a string. You can do this with f-strings by surrounding a variable assigned to a number with curly braces:

Those curly braces support a simple formatting language that you can use to alter the appearance of the value in the final formatted string.

For example, to format the value of n in the above example to two decimal places, replace the contents of the curly braces in the f-string with {n:.2f}:

The colon (:) after the variable n indicates that everything after it is part of the formatting specification. In this example, the formatting specification is .2f.

The .2 in .2f rounds the number to two decimal places, and the f tells Python to display n as a fixed-point number. This means that the number is displayed with exactly two decimal places, even if the original number has fewer decimal places.

When n = 7.125, the result of {n:.2f} is 7.12. Just like with round(), Python rounds ties to even when formatting numbers inside strings. So, if you replace n = 7.125 with n = 7.126, then the result of {n:.2f} is 7.13:

To round to one decimal place, replace .2 with .1:

When you format a number as fixed point, it's always displayed with the precise number of decimal places that you specify:

You can insert commas to group the integer part of large numbers by the thousands with the , option:

To round to some number of decimal places and also group by thousands, put the , before the . in your formatting specification:

The specifier ,.2f is useful for displaying currency values:

Another useful option is %, which is used to display percentages. The % option multiplies a number by 100 and displays it in fixed-point format, followed by a percentage sign.

The % option should always go at the end of your formatting specification, and you can't mix it with the f option. For example, .1% displays a number as a percentage with exactly one decimal place:

The formatting mini language is powerful and extensive. You've only seen the basics here. For more information, check out the official documentation.
Check Your Understanding
Expand the block below to check your understanding:

Print the number 150000 as currency with the thousands grouped by commas. Currency should be displayed with two decimal places and begin with the US dollar symbol.

You can expand the block below to see a solution:

Let's build up our f-string one step at a time.

First, the f-string that displays the value 150000 without any formatting looks like this:

This might look kind of odd, but it sets you up to add the formatting specifiers.

To ensure that the value is displayed as a floating-point number, put a colon (:) after the number 150000, followed by the letter f:

By default, Python displays the number with six decimal places of precision. Currency should have only two decimal places of precision, so you can add .2 between the : and the f:

To display the number with digits grouped by commas, insert a comma (,) between the colon (:) and the dot (.):

Finally, add a dollar sign ($) at the beginning of the string to indicate that the value is in US dollars:

F-strings are just one way to format numbers for display. Check out A Guide to the Newer Python String Format Techniques for even more ways to format numbers and other text in Python.

When you're ready, you can move on to the next section.

Complex Numbers

Python is one of the few programming languages that provides built-in support for complex numbers. While complex numbers don't often come up outside the domains of scientific computing and computer graphics, Python's support for them is one of its strengths.

If you've ever taken a precalculus or higher-level algebra math class, then you may remember that a complex number is a number with two distinct components: a real part and an imaginary part.

To create a complex number in Python, you simply write the real part, then a plus sign, then the imaginary part with the letter j at the end:

When you inspect the value of n, you'll notice that Python wraps the number with parentheses:

This convention helps eliminate any confusion that the displayed output may represent a string or a mathematical expression.

Imaginary numbers come with two properties, .real and .imag, that return the real and imaginary components of the number, respectively:

Notice that Python returns both the real and imaginary components as floats, even though they were specified as integers.

Complex numbers also have a .conjugate() method that returns the complex conjugate of the number:

For any complex number, its conjugate is the complex number with the same real part and an imaginary part that is the same in absolute value but with the opposite sign. So in this case, the complex conjugate of 1 + 2j is 1 - 2j.

Except for the floor division operator (//), all the arithmetic operators that work with floats and integers will also work with complex numbers. Since this isn't an advanced math tutorial, we won't discuss the mechanics of complex arithmetic. Instead, here are some examples of using complex numbers with arithmetic operators:

Interestingly, although not surprising from a mathematical point of view, int and float objects also have .real and .imag properties as well as the .conjugate() method:

For floats and integers, .real and .conjugate() always return the number itself, and .imag always returns 0. One thing to notice, however, is that n.real and n.imag return an integer if n is an integer and a float if n is a float.

Now that you've seen the basics of complex numbers, you might be wondering when you would ever need to use them. If you're learning Python for web development, data science, or general-purpose programming, the truth is that you may never need to use complex numbers.

On the other hand, complex numbers are important in domains such as scientific computing and computer graphics. If you ever work in those domains, then you may find Python's built-in support for complex numbers useful.

Conclusion: Numbers in Python

In this tutorial, you learned all about working with numbers in Python. You saw that there are two basic types of numbers-integers and floating-point numbers-and that Python also has built-in support for complex numbers.
In this tutorial, you learned:

How to do basic arithmetic with numbers using Python's arithmetic operators

How to write arithmetic expressions using PEP 8 best practices

What floating-point numbers are and why they may not always be 100 percent accurate

How to round numbers with round()

What complex numbers are and how they're supported in Python

No matter your comfort level with numbers and math, you're now ready to perform all kinds of calculations in your Python code. You can use this knowledge to solve a wide range of problems that you'll encounter in your programming career.

Further Reading

For additional information on numbers and math in Python, check out these resources:

Get a short & sweet Python Trick delivered to your inbox every couple of days. No spam ever. Unsubscribe any time. Curated by the Real Python team.

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You don't need to be a math whiz to program well. The truth is, few programmers need to know more than basic algebra. Of course, how much math you need to know depends on the application you're working on. In general, the level of math required to be a programmer is lower than you might expect.

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​How to create a 'guess the number' (higher / low) game in Python (Free python web tutorial).

Introduction: How the game works
The computer will think of a random number between 1 and 20, and ask the player to guess it. The computer will inform the player whether each guess is too high or too low. The player wins if they can guess the number within six attempts.

In this tutorial, you will learn how to create your very own 'guess the number' game using Python.

Before creating your guess the number game, let's explore some of the functions you will be using.

STEP 1
Let's start by writing a program to compare two numbers and return a value 'higher' or 'lower' for the second number.

Type in and run the following code:

Challenge 1

Try changing Num1 to 10 and run the code again to see what happens.

Challenge 2
There is a problem in our code. If Num1 is the same as Num2, the program will display the message 'Lower'.

Modify your program so that it displays the message 'Same' if both numbers are the same.

Hint: You will need to use an 'elif' statement.
STEP 1
Let's start by writing a program to simulate a roll of a dice. This will form the basis of your 'guess the number' game.

Type in and run the following code:

Make sure you comment your code, using the hashtag ( # ), explaining what the code is doing.

Challenge 1
Modify the code above so that it picks a number between 1 and 6.

Run the new script and explain what the new code does.
Part 3: Creating the 'guess the number' game.
You now have all the components you need to create your very own guess the number game. Enter the following sample code into the code window below.

1. Modify you code so that it tells the player how many guesses they made.

2. Change the random number from 1-10 to 1 - 100 (Remember to change the message at the start of the game!).

3. Keep looping the game until the player quits and keep a track of the player's best score (least number of guesses).

Licence:
Unless otherwise specified, everything in this repository is covered by the following licence:

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​How to create a 'guess the number' (higher / low) game in Python (Free python web tutorial). Introduction: How the game works The computer will think of a random number between 1 and 20, and ask the player to guess it. The computer will inform the player whether each guess is too high or too low.

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Start learning from the very basics of Python Programming.

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Introduction to the Python Online Course

Python is one of the most widely used and easy-to-learn programming languages. We can see applications of Python programming language in various fields such as Machine Learning, Artificial Intelligence, Data Science, Web Development, and whatnot.

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After learning our free Python course, the user can go for any field of Python like Machine Learning, Artificial Intelligence, Data Science, Web Development, and whatnot. You will surely feel confident in Python programming language and can easily cope with any of the above fields if you want to make a career in the specific field.

Requirements for the Python Online Course

In our Python free course, we will start from scratch, so even if you do not have any pre-requisite of Python programming language or any other programming language then there is nothing to worry about because the course is for you! Even if you have an understanding of Python language then this course can be a very important revision of your understanding. You will be learning all the concepts along with that you will get to solve a lot of questions related to every topic so that the concepts can become more clear and strong.

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9. Lists

10. Tuples

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12. Sets

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1. Prerequisites of the Python Course Online Before learning the Python for Beginners course you only need focus and self-determination. This course is designed in such a way that the learner will become zero to hero in Python programming concepts (beginner to intermediate level).

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In this online Python course, you will not only learn about Python basic concepts but also about installation, the various predefined data structures of Python, File handling concepts, and OOP concepts.

Timeframe for completing the free Python course? The course is divided into 122 lessons divided among a very crucially created 16 modules. The entire duration of the course is 9 hours and 47 minutes. The time frame of the Python for Beginners course is (module-wise):

Introduction: 10 minutes

Installation: 4 minutes

Basic Fundamentals of Python: 41 minutes

Print Function: 12 minutes

Operators in Python: 39 minutes

Control Flow: 36 minutes

Loops in Python: 56 minutes

Strings in Python: 55 minutes

Lists: 55 minutes

Tuples: 22 minutes

Dictionary: 32 minutes

Sets: 20 minutes

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After completing the entire course, you can attempt the quiz and test your understanding.

Question 1. Is Python a high-level programming language?

Question 2. Which function is used to take user inputs in Python?

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Question 5. Which is an immutable list or tuple?

Question 6. Can sets contain duplicate elements?

Question 7. How can we reference the class variables in Python

Question 8. How can we handle exceptions in Python?

Question 9. How can access all the keys of a dictionary?

Question 10. How can access all the values of a dictionary?
Answers:

1. Yes. 2. ``input()``. 3. Two. 4. Three. 5. Tuple. 6. No. 7. Using ``self``. 8. Using ``try-except`` block. 9. Using the ``keys()`` method. 10. Using the ``values()()`` method.

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The Python Course is developed by Rahul Janghu, a Software Engineer and Instructor at Scaler. The beginner-friendly Python course teaches the fundamentals and core concepts of Python.

We have various programming, and DSA courses on our platform as well. You can refer to the courses like:

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Free Python Certification Course: Master the essentials

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Python is one of the most widely used and easy-to-learn programming languages. We can see applications of Python programming language in various fields such as Machine Learning, Artificial Intelligence, Data Science, Web Development, and whatnot.

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https://pythonosnoveblog.wordpress.com/

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​How to create a 'guess the number' (higher / low) game in Python (Free python web tutorial).

Introduction: How the game works
The computer will think of a random number between 1 and 20, and ask the player to guess it. The computer will inform the player whether each guess is too high or too low. The player wins if they can guess the number within six attempts.

In this tutorial, you will learn how to create your very own 'guess the number' game using Python.

Before creating your guess the number game, let's explore some of the functions you will be using.

STEP 1
Let's start by writing a program to compare two numbers and return a value 'higher' or 'lower' for the second number.

Type in and run the following code:

Challenge 1

Try changing Num1 to 10 and run the code again to see what happens.

Challenge 2
There is a problem in our code. If Num1 is the same as Num2, the program will display the message 'Lower'.

Modify your program so that it displays the message 'Same' if both numbers are the same.

Hint: You will need to use an 'elif' statement.
STEP 1
Let's start by writing a program to simulate a roll of a dice. This will form the basis of your 'guess the number' game.

Type in and run the following code:

Make sure you comment your code, using the hashtag ( # ), explaining what the code is doing.

Challenge 1
Modify the code above so that it picks a number between 1 and 6.

Run the new script and explain what the new code does.
Part 3: Creating the 'guess the number' game.
You now have all the components you need to create your very own guess the number game. Enter the following sample code into the code window below.

1. Modify you code so that it tells the player how many guesses they made.

2. Change the random number from 1-10 to 1 - 100 (Remember to change the message at the start of the game!).

3. Keep looping the game until the player quits and keep a track of the player's best score (least number of guesses).

Licence:
Unless otherwise specified, everything in this repository is covered by the following licence:

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# data[].attributes.attachment_link.description
​How to create a 'guess the number' (higher / low) game in Python (Free python web tutorial). Introduction: How the game works The computer will think of a random number between 1 and 20, and ask the player to guess it. The computer will inform the player whether each guess is too high or too low.

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https://wiki.python.org/moin/IntroductoryBooks

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The books on this page are all general introductions to the Python language. Most of these books will contain a few chapters on particular applications such as GUI interfaces or Web programming, but won't go into great detail on any one topic; refer to the PythonBooks page for lists of application-specific books. Experienced programmers who prefer a brief and condensed introduction should look at the list of ReferenceBooks.

This fantastic book will help you to learn and master the python programming language like never before. It is the first volume in the series of two. This volume contains following topics chapter wise:

Amazon: Master Python Programming : Learn Python Like Never Before (Volume 1)

Christian Mayer

Most software developers waste thousands of hours working with overly complex code.

The book's guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance.

Amazon: The Art of Clean Code

Adam Schroeder, Christian Mayer, and Ann Marie Ward

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty.

A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You've seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you'll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.

The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You'll learn the basic format of a Dash app by building a Twitter analysis dashboard that maps the number of likes certain accounts gained over time. You'll build up skills through three more sophisticated projects. The first is a global analysis app that compares country data in three areas: the percentage of a population using the internet, percentage of parliament seats held by women, and CO2 emissions. You'll then build an investment portfolio dashboard, and an app that allows you to visualize and explore machine learning algorithms.

In this book you will:

Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

Amazon: Python Dash: Build Data Analysis and Visualization Apps with Plotly

Daniel Zingaro

Learn to code, right now. No coding experience required.

Don't try to memorize Python syntax with the hope of using it one day. Learn Python for good while you solve programming problems.

You get line by line walkthroughs, "check your understanding" questions, practice examples with answers, instant and accurate feedback using convenient online websites, discussion of common errors, and more.

This isn't just a Python book. You'll definitely learn Python here. But you'll also learn how to think and solve problems like programmers do. And you'll learn why slow code is slow and how to write better, faster code. You're building skills that will not only turn you into a Python programmer but will also help you with whatever programming language you might use in the future.

J. Whitington

ISBN-13: 978-0-9576711-5-7 238 Pages (October 2020)

Also available as a DRM-free PDF or EPUB. Free HTML version available.

Amazon printed and Kindle PDF and EPUB eBook Free HTML version

L. Rieger, C. Mayer

ASIN: B08G1XLDNB Finxter 233 Pages

Kindle Amazon eBook PDF Book + Resources Python Freelancing

Abhishek Singh, Zohaib Hasan

ISBN-13: 978-1094777979 73 Pages (April 20, 2019)

Awarded as one of the best books of regular expression in 2020 and 2021 by bookauthority.org. Regular Expression is one topic which is nightmare for many seasoned programmers also. And what better choice than Python could have been? An easy to understand language to explain an uneasy to understand topic. This book is designed for absolute beginners with elementary knowledge of Python language. Regular Expressions are considered as a tough topic and usually they are not covered in syllabus in much detail. Mostly, a chapter is given on this topic in syllabus or curriculum books. But here, a complete book is dedicated. This book covers Regular Expression in detail with plenty of examples covering password validation, email ID validation, string manipulations etc. and their step by step analysis. The examples are presented in such a way that one can feel like coding only by reading the codes itself. The book is written in a way to give stress free environment.

Nat Dunn, Webucator

ISBN-13: 978-1951959029 536 Pages (March 15, 2020)

ISBN-13:9780578549361 760 Pages (September 1, 2019)

The very nature of IoT requires a knowledge of a programming language and electronic circuits and a knowledge of networking in order to interface with the physical world and networking platforms. Learning IoT with Python and Raspberry Pi uses a cross-disciplinary approach when teaching IoT. Circuits which use light dependent resistors, LEDs, buzzers, passive infrared sensors, ultrasonic sensors, and other components will be used to explore and elucidate programming concepts. Users can monitor devices connected to the Raspberry Pi. Learning IoT with Python and Raspberry Pi allows the programmer to explore the Internet of Things (IoT) by writing code which will monitor temperature, pressure, humidity, and light levels and will determine when motion is detected, etc. Based upon these physical events, a text message is sent, an email is sent, a phone call is made, or a picture is taken.

Stephen Gruppetta

Freely available online book

The key to mastering programming is to truly understand why we do things in the way we do them. Learning the methods is not enough. My focus in the years I've spent teaching coding has been to get my students to think in the way the computer does. Only then can we speak its language. We need to understand the various tools in a coding language as if they're our best friends, not just mere acquaintances. The focus of this book is real understanding. 'Why' is just as important a question as 'How'. And I like analogies-a lot. So your journey through learning how to code will take you through The White Room and coffee machines, and you'll even climb a tree! This book will start from the basics, and in its second part will start to move towards areas of programming relevant to fields such as science, finance, and other data-driven fields. The Table of contents of the book is the following:

Christian Mayer

Python programmers will improve their computer science skills with these useful one-liners

Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, list comprehension, broadcasting, lambda functions, algorithms, regular expressions, neural networks, logistic regression and more. Each of the 50 book sections introduces a problem to solve, walks the reader through the skills necessary to solve that problem, then provides a concise one-liner Python solution with a detailed explanation.

Book page (free material) Publisher's page

Cody Jackson

ISBN 13: 9781789531947 Packt 304 Pages (November 2018)

Kick-start your development journey with this end-to-end guide that covers Python programming fundamentals along with application development

Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages-Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily.

The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment.

Dusty Phillips

ISBN 13: 9781789615852 Packt 466 Pages (October 2018)

Uncover modern Python with this guide to Python data structures, design patterns, and effective object-oriented techniques

Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.

By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.

'Start Here: Python Programming for Beginners "Start Here: Python Programming for beginners" by Jody S. Ginther was written after the changes made in Python 3. It is aimed at total beginners and uses hands-on practice and humor to make learning to program more relaxing and enjoyable.

ISBN: 978-0-9754759-4-2, LCCN: 2010906917, 605 pages

Tom Baugh

This course introduces the student to Python, cultivating professional software development skills along the way. Yet, this course requires no prior programming knowledge to learn or to teach. Organized as sixty-four lessons, sixteen tests and two exams, for a total of 82 lecture units, this course covers the following topics:

By the end of the course, students will have learned how to write Python projects, including custom classes and modules. The course culminates with an exploration of windowed application development, including a bitmapped graphics project. The course material includes the student text and CD-ROM with instructor's guide for each lesson, tests, exams, solutions guide for exercises, tests and exams, student handouts and completed projects for each lesson. The format of the course is intended to support classroom use, homeschool use, or self-study.

Bradley N. Miller and David L Ranum

Python Programming in Context is a clear, accessible introduction to the fundamental programming and problem solving concepts necessary for students at this level. The authors carefully build upon the many important computer science concepts and problem solving techniques throughout the text and offer relevant, real-world examples and exercises to reinforce key material. Programming skills throughout the text are linked to applied areas such as Image Processing, Cryptography, Astronomy, Music, the Internet, and Bioinformatics, giving students a well rounded look of its capabilities.

Atanas Radenski

ISBN: 978159526-713-9, 512 pages, Llumina Press, April 2007

This book is a paper companion to the "Python First" digital pack from studypack.com. The complete digital study pack features e-texts, slides, a wealth of detailed self-guided labs that learners can complete on their own, sample programs, and extensive quizzes. The book offers a printed version of the e-texts and self-guided labs in the same format as they appear in the online digital pack.

Steven F. Lott

How do you learn Python? By doing a series of exercises, each of which adds a single new feature of the language. This 250+ page book has 31 chapters that will help you build Python programming skills through a series of exercises. This book includes six projects from straight-forward to sophisticated that will help solidify your Python skills.

Steven F. Lott

How do you learn to solve your own programs by writing programs? By doing a series of exercises, each of which builds up a part of the skill set we call "computer programming". This book has 54 chapters that will help you build basic programming skills through a series of exercises that grow from simple identification of the parts of your computer through to statistical simulations.

A Byte of Python is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for anyone. If all you know is how to save text files, then you can learn Python using this book. If you are an expert programmer who loves C, Perl, Java or C#, you can also learn Python using this book.

208 pages, Handy Software and Publishing (April 2005)

Written by a homeschooling Dad for teenage youth, this introductory computer programming book is for people who have no prior programming experience. Teaches the basic principles of programming using Python, with lots of examples. Small video game project at the end. Good for self-study or classroom use.

Simple intro accessible for beginners. Very hands-on and fun, utilizes development of games to teach each concept. Great for visual and hands-on learners alike.

Publisher's page

Robert Smallshire, Austin Bingham

ISBN 13: 9781788293181 Packt Publishing 352 pages (June 2017)

Before you master Python, you need to learn the culture and the tools to become a productive member of any Python project. This book will give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. As a Python developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.

Mohit, Bhaskar N. Das

ISBN 13: 9781787288386 Packt Publishing 280 pages (May 2017)

Python is a great language to get started in the world of programming and application development. This book will help you to take your skills to the next level having a good knowledge of the fundamentals of Python.

Begin with the absolute foundation, covering the basic syntax, type variables and operators. Then you can move on to concepts like statements, arrays, operators, string processing and I/O handling. You'll be able to learn how to operate tuples and understand the functions and methods of lists. Develop a deep understanding of list and tuples and learn python dictionary. As you progress through the book, you'll learn about function parameters and how to use control statements with the loop. You'll further learn how to create modules and packages, storing of data as well as handling errors. Later, dive into advanced level concepts such as Python collections and how to use class, methods, objects in Python.

By the end of this book, you will be able to take your skills to the next level having a good knowledge of the fundamentals of Python.

What You Need to Know about Machine Learning (Free eBook)

By Gabriel A. Cánepa

ISBN 13: 9781786466211 Packt Publishing (July 2016)

This book offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time.

What You Need to Know about Python (Free eBook)

By Pierluigi Riti

ISBN 13: 9781786465566 Packt Publishing (March 2016)

With this book you'll experience the basics of Python, what it can be used for, and get a clear direction in what you need to really get the most from this great language.

By Ana Bell

When you're ready to learn to program, Python is a great language to start with. It has a straightforward syntax, you'll find it easy to learn, and it's extremely versatile. Once you master the basics, you'll appreciate Python's very strong online community where you can continue learning and tinkering with more advanced programming techniques. All you need is some help to get going. Learning to program with Python doesn't have to be difficult, in fact it can even be fun. This book will get you started!

Learn Python is an introduction to programming using one of the most popular programming languages. The first few chapters give you a quick background to programming concepts and a hands-on guide to setting up your programming environment. You will then be gently introduced to the basics of programming, building up to writing your first programs! This easy-to-follow tutorial is full of exercises to practice and reinforce each new concept, as well as to give you confidence that you are ready to move on to the next lesson. As you progress, you'll learn programming topics and concepts that are ubiquitous across almost all other programming languages. By the end of the book, you'll have a solid grasp of how to write programs as well as programming best practices.

Anyone without programming experience who wants an easy-to-follow book that guides you through short lessons and exercises.

By Naomi Ceder

This third revision of Manning's popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.

After exploring Python's syntax, control flow, and basic data structures, the book shows how to create and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. Along the way, you'll survey the current Python development landscape, including Pythonic best practices, data extraction and cleaning, database access, and web frameworks.

This book is for someone who knows how to program, who whats to learn Python quickly and efficiently.

By Prateek Joshi

ISBN 13: 9781786464477 Packt Publishing 304 pages (June 2016)

Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code.

By Erik Westra

ISBN 13: 9781785884481 Packt Publishing 246 pages (May 2016)

Learn how to use modules and packages to organize your Python code

Understand how to use the import statement to load modules and packages into your program

Use common module patterns such as abstraction and encapsulation to write better programs

Discover how to create self-testing Python packages

Create reusable modules that other programmers can use

Make use of modules and packages that others have written

Use modular techniques to build robust systems that can handle complexity and changing requirements over time

This book is intended for beginner to intermediate level Python programmers who wish to learn how to use modules and packages within their programs. While readers must understand the basics of Python programming, no knowledge of modular programming techniques is required.

By Pieter Spronck

~400 pages (July 2016)

"The Coder's Apprentice" is a course book, aimed at teaching Python 3 to students and teenagers who are completely new to programming. Contrary to many of the other books that teach Python programming, this book assumes no previous knowledge of programming on the part of the students, and contains numerous exercises that allow students to train their programming skills.

The book covers all imperative programming and object oriented programming aspects of Python 3, including:

Installing, writing, and running Python

Expressions, variables, conditions, loops, and functions

Strings, tuples, lists, dictionaries, and sets

Text files, binary files, and exceptions

Object orientation, operator overloading, inheritance, iterators, and generators

Regular expressions

The book also spends time on algorithm design and writing effective code.

The book is freely available as PDF.

By Preston Miller, Chapin Bryce

ISBN 13: 9781783285235 Packt Publishing 488 pages (May 2016)

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer.

If you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you.You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming.

By Tomasz Drabas

ISBN 13: 9781783551668 Packt Publishing 384 pages (April 2016)

This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more.

Understand your data and explore the relationships between variables using Pandas and D3.js.

Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi.

Study simulation techniques in an example of a gas station with agent-based modeling.

This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.

Jessica Ingrassellino

ISBN: 9781782175063

192 pages, April 2016, Packt Publishing

Kids are always the most fast-paced and enthusiastic learners, and are naturally willing to build stuff that looks like magic at the end (when it works!). Programming can be one such magic. Being able to write a program that works helps them feel they've really achieved something. Kids today are very tech-savvy and cannot wait to enter the fast-paced digital world.

Because Python is one of the most popular languages and has a syntax that is quite simple to understand, even kids are eager to use it as a stepping stone to learning programming languages.

This book covers projects that are simple and fun, and teach kids how to write Python code that works.

The book will teach the basics of Python programming, installation, and so on and then will move on to projects. A total of three projects, with each and every step explained carefully, without any assumption of previous experience.

This book is for kids (aged 10 and over). This is book is intended for absolute beginners who lack any knowledge of computing or programming languages and want to get started in the world of programming.

Craig Richardson

ISBN: 978-1-59327-670-6

304 pages, December 2015, No Starch Press

You've bested creepers, traveled deep into caves, and maybe even gone to The End and back-but have you ever transformed a sword into a magic wand? Built a palace in the blink of an eye? Designed your own color-changing disco dance floor?

Begin with some short, simple Python lessons and then use your new skills to modify Minecraft to produce instant and totally awesome results. Learn how to customize Minecraft to make mini-games, duplicate entire buildings, and turn boring blocks into gold.

You'll also write programs that:

Whether you're a Minecraft megafan or a newbie, you'll see Minecraft in a whole new light while learning the basics of programming. Sure, you could spend all day mining for precious resources or building your mansion by hand, but with the power of Python, those days are over!

Requires: Windows 7 or later; OS X 10.10 or later; or a Raspberry Pi.

Uses Python 3

Al Sweigart

ISBN: 978-1-59327-599-0

504 pages, April 2015, No Starch Press

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Note: The programs in this book are written to run on Python 3.

Amit Saha

ISBN: 978-1-59327-640-9

264 pages, August 2015, No Starch Press

Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.

If you're interested in math but have yet to dip into programming, you'll find that Python makes it easy to go deeper into the subject-let Python handle the tedious work while you spend more time on the math.

Suggested for ages 14 and up.

Eric Matthes

ISBN: 978-1-59327-603-4

624 pages, November 2015, No Starch Press

Solve Problems, Make Things, and Do Cool Stuff!

In the first half of the book you'll learn basic programming concepts, from installing Python to testing code, including how to use a text editor, write clean and readable code, store data in lists and dictionaries, create classes that simulate real-life objects, and write loops to perform actions on your data. You'll also learn how to make your programs interactive and test your code safely before adding it to your project. The exercises in chapters will help cement your learning so you can put that knowledge into practice in the second half, with three substantial projects: a Space-Invaders-inspired arcade game, data visualization with Python's super-handy libraries, and a simple Web app you can deploy online.

Uses Python 2 and 3

Jason Briggs

ISBN: 978-1-59327-407-8

344 pages, December 2012, No Starch Press

The code in this book runs on almost anything: Windows, Mac, Linux, even an OLPC laptop or Raspberry Pi!

Python is a powerful, expressive programming language that's easy to learn and fun to use! But books about learning to program in Python can be kind of dull, gray, and boring, and that's no fun for anyone.

Chapters end with programming puzzles designed to stretch your brain and strengthen your understanding. By the end of the book you'll have programmed two complete games: a clone of the famous Pong and "Mr. Stick Man Races for the Exit"-a platform game with jumps, animation, and much more.

As you strike out on your programming adventure, you'll learn how to:

For kids ages 10+ (and their parents).

Featuring original artwork by Miran Lipovača!

Bryson Payne

ISBN: 978-1-59327-614-0

336 pages, April 2015, No Starch Press

Step-by-step explanations will have kids learning computational thinking right away, while visual and game-oriented examples hold their attention. Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications.

Explore geometry by drawing colorful shapes with Turtle graphics

Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls

Create fun, playable games like War, Yahtzee, and Pong

Add interactivity, animation, and sound to their apps

Dr. Martin Jones

ISBN: 978-1514376980

246 pages, 2015

Getting started with programming can be an intimidating challenge. Most books and tutorials assume lots of previous knowledge, skip over jargon and new concepts, and use examples that only make sense if you already understand programming.

This book is different. It gives you an introduction to programming in Python from the ground up, starting with tips on installation and setting up your programming environment, and moving through the core parts of the Python language in a logical order. Dr. Jones has drawn on his many years experience teaching programming to produce a book that will guide you through the language step by step in simple terms.

The book doesn't assume any previous knowledge, and introduces fundamental programming concepts like variables, loops and functions using simple terms and easy-to-follow examples that you can run and modify.

The book takes a unique approach to practical exercises. Rather than simply presenting you with the solutions, it shows you how large, complex programs are gradually built up from simple building blocks, explaining the role of every line. You can download the examples and exercise solutions - edit, modify and run them yourself.

Chris Garrard

Manning Publications ISBN: 9781617292149, 400 pages, MEAP Began May 2014

Geoprocessing with Python teaches you how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. You'll learn how to access available data sets to make maps or perform your own analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. You'll master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. You'll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models.

Guilherme Soares Lima

(2015, 100 pages)

The book is a gentle introtuction to algorithms and programming with Python, specially for those that don't know how to program on any language. It has a progressive approach, it covers most of basic topics like programming logics, repetition structures. It is a small book, but yet a powerful tool for learning. It helps get good orientation from the beginning. It has only 100 pages and it's free.

Ken Lambert

ISBN 13: 978-1-111-82270-5 (2012, 510 pages)

An introduction to programming and problem solving with Python (CS1). Covers algorithmic problem solving, basic data structures, functional design, and object-oriented design. Also includes an introduction to turtle graphics, image processing, GUIs, and networks.

Ken Lambert

ISBN 13: 978-1-285-75200-6 (2014, 496 pages)

An introduction to Python with data structures (CS2). Covers the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of space/time tradeoffs of different collections, all within a realistic collection framework.

Ken Lambert

ISBN-13: 978-0-9859567-0-7 (August, 2012, 110 pages, ebook only)

By Willi Richert, Luis Pedro Coelho

ISBN 13: 9781782161400 Packt Publishing 290 pages (July 2013)

Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide

This book is for Python programmers who are beginners in machine learning, but want to learn Machine learning. Readers are expected to know Python and be able to install and use open-source libraries. They are not expected to know machine learning, although the book can also serve as an introduction to some Python libraries for readers who know machine learning. This book does not go into the detail of the mathematics behind the algorithms.

This book primarily targets Python developers who want to learn and build machine learning in their projects, or who want to provide machine learning support to their existing projects, and see them getting implemented effectively.

Cody Jackson

ISBN: 1461182050 (November 2011, 230 pages)

An introduction to computer programming, using the easy, yet powerful, Python programming language. Python, a cross-platform language used by such organizations as Google and NASA, lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. The core Python language (both versions 2.x and 3.x) is discussed, as well as an introduction to graphical user interface creation.

The ideas covered in this book provide the reader with many major programming topics, applicable to a wide variety of programming languages. After reading this book, the reader should be able to quickly create simple to medium-level programs and be prepared to tackle more complex programming tasks.

ISBN 13: 978-1-84951-212-1 Packt Publishing 380 pages (December 2010)

The easiest way to learn how to manipulate text with Python:

The easiest way to learn text processing with Python

Deals with the most important textual data formats you will encounter

Learn to use the most popular text processing libraries available for Python

Packed with examples to guide you through

(Mark Lutz, O'Reilly Media, June 2013, 1600 pages)

An in-depth, tutorial introduction to Python core language fundamentals, based on 260 live classes taught by the author. This edition is updated to cover both Python 3.X and 2.X. It is specifically based on 3.3 and 2.7, but is applicable to other releases.

(Mark Lutz, O'Reilly Media, December 2010, 1600 pages)

An in-depth, tutorial introduction to common Python application programming domains, and a follow-up to the core language coverage of Learning Python. This edition is updated to use Python 3.X (3.1 and 3.2 specifically), but is still largely applicable to most 2.X readers.

(Mark Lutz, O'Reilly Media, September 2009, 200 pages)

A reference-only book, designed to serve as a companion to both Learning Python and Programming Python. This edition is updated to cover both Python 3.X and 2.X. It is specifically based on 3.1 and 2.6, but is applicable to other releases.

Ever wished you could learn Python from a book? Head First Python helps you learn the language through a unique method that goes beyond syntax and how-to manuals. You'll quickly grasp Python's fundamentals, then move on to persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you. Head First Python is a complete learning experience that will help you become a bona fide Python programmer.

This book is designed to get you up to speed with Python as quickly as possible.

Practical Programming (2nd edition): An Introduction to Computer Science Using Python 3

ISBN: 978-1-93778-545-1

350 pages, August 2013

Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer.

Practical Programming: An Introduction to Computer Science Using Python

ISBN: 978-1-93435-627-2

350 pages, Apr 2009

Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer.

Dusty Phillips

ISBN-13: 978-1-849511-26-1 Packt Publishing 404 pages (July 2010)

Harness the power of Python 3 objects:

If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with.

Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.

The book covers the standard CS1 curriculum, and includes extensive algorithm development sections to help students in their study of computing. Supplemental material is also provided including: full set of power point slides, collaborative lab exercises, project homeworks and solutions to over 600 exercises in the book.

A Learner's Guide to Programming, using the Python Language

ISBN-10: 0596802374

ISBN-13: 978-0596802370

O'Reilly Media

440 pages (November 2009)

Ever wished you could learn how to program from a book? If you have no previous programming experience, you might be wondering where to start. Head First Programming introduces the core concepts of writing computer programs--variables, decisions, loops, functions, and objects--which apply regardless of the programming language, but uses concrete examples and exercises in the dynamic and versatile Python language to apply and reinforce these concepts.

Learn the basic tools to start writing the programs that interests you, not the generic software someone else thinks you should have, and get a better understanding of what software can (and cannot) do. When you're finished, you'll have the necessary foundation to apply to whatever language or software project you need or want to learn.

This book teaches you how to write programs using Python 3 in good Python 3 style.

The book will be useful to people who program professionally as part of their job, whether as full-time software developers, or those from other disciplines, including scientists and engineers, who need to do some programming in support of their work. It will also prove ideal for those Python 2 programmers who need to migrate (or prepare to migrate) to Python 3. The book is also suitable for students-the only prerequisite is some basic knowledge of programming in any language, for example, Basic or Java, or of course Python itself.

The book teaches solid procedural style programming, then builds on that to teach solid object-oriented programming, and then goes on to more advanced topics such as descriptors and class decorators. But even newcomers to Python 3 should be able to write useful (although small and basic) programs after reading chapter 1, and then go on to create larger and more sophisticated programs as they work through the chapters.

Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

"Computer programming is a powerful tool for children to 'learn learning,' that is, to learn the skills of thinking and problem-solving...Children who engage in programming transfer that kind of learning to other things."--Nicholas Negroponte, the man behind the One Laptop Per Child project that hopes to put a computer in the hands of every child on earth, January 2008

Your computer won't respond when you yell at it. Why not learn to talk to your computer in its own language? Whether you want to write games, start a business, or you're just curious, learning to program is a great place to start. Plus, programming is fun!

Hello World! provides a gentle but thorough introduction to the world of computer programming. It's written in language a 12-year-old can follow, but anyone who wants to learn how to program a computer can use it. Even adults. Written by Warren Sande and his son, Carter, and reviewed by professional educators, this book is kid-tested and parent-approved. You don't need to know anything about programming to use the book. But you should know the basics of using a computer--e-mail, surfing the web, listening to music, and so forth. If you can start a program and save a file, you should have no trouble using this book.

Hello! Python fully covers the building blocks of Python programming and gives you an introduction to more advanced topics such as object-oriented programming, functional programming, network programming, and program design. New (or nearly new) programmers will learn most of what they need to know to start using Python immediately.

A more advanced book than Hello World!, it takes a different tack. You follow along as the author writes a practical project in every chapter. You'll see how programmers think about solving problems with programming, and there are hints on how to extend the projects to suit your own needs.

The Quick Python Book, 2nd edition

Naomi Ceder

Manning Publications,

335 pages (January 2010)

This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this updated edition covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail.

After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. Along the way, you'll survey the current Python development landscape, including GUI programming, testing, database access, and web frameworks.

IronPython is an implementation of Python for the Microsoft .NET framework, Mono, and the Silverlight and Moonlight browser plugins. IronPython in Action is an introduction to programming with IronPython for both .NET programmers interested in Python and Python programmers new to .NET.

As well as covering specific topics and both Python and .NET libraries the book pays special attention to the nitty-gritty details of Python and .NET integration that previous experience with Python or C# won't necessarily have prepared you for.

ISBN13: 978-1-59059-982-2 Apress Inc, 688 pages (September 2008)

Gain a fundamental understanding of Python's syntax and features with the second edition of Beginning Python, an up-to-date introduction and practical reference. Covering a wide array of Python-related programming topics, including addressing language internals, database integration, network programming, and web services, you'll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time.

Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in the forthcoming Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.

This is a textbook for an object-oriented introduction to computer science course (CS1) using Python.

This is a printed edition of the official Python tutorial by Guido van Rossum. For each copy sold $1 will be donated to the Python Software Foundation.

An introduction to programming by manipulating digital media --- creating negatives and grayscale pictures, splicing sounds, implementing chromakey.

ISBN: 0132269937 (2nd ed.); 0130260363 (1st ed.)

Prentice Hall PTR / Pearson Education

~1120 pages (Sep 2006); 810 pages (Jan 2001)

The main goal of this book is comprehensively teaching you the core of the Python language, much more than just its syntax (which you don't really need a book to learn, right?). Knowing more about how Python works under the covers, including the relationship between data objects and memory management, will make you a much more effective Python programmer coming out of the gate. The advanced topics chapters are meant as complete intros or "quick dives" into each of those distinct subjects. However, if moving towards those specific areas of development, they are more than enough to get you pointed in the right direction. We would say that the book is 40% introductory, 40% intermediate (in-depth core Python material plus advanced topics chapters), and 20% reference -- it is *not* meant to be a substitute for a pure reference such as the Python Essential Reference or Python in a Nutshell.

The new 2nd edition is expanded (300 new pages!) and updated through Python 2.5 as well as confirmed functionality for future versions! Also added are a few new chapters of advanced material. As in the 1st edition, a plethora of easy to advanced exercises can be found at the end of every chapter to hammer the concepts home. At the moment, this is the most complete and up-to-date Python book on the market today.

From an anonymous reviewer: "Very well written. It is the clearest, friendliest book I have come across yet for explaining Python, and putting it in a wider context. It does not presume a large amount of other experience. It may be too slow for more advanced people, but it does go into some important Python topics carefully and in depth. Unlike too many beginner books, it never condescends or tortures the reader with childish hide-and-seek prose games. Not too many in-depth real-world examples in the book (hopefully he will do a followup volume), it sticks to gaining a solid grasp of Python syntax and structure."

Links regarding the 1st edition: IBM Developer Works review Linux Journal review Chinese edition O'Reilly Safari electronic edition Indian edition (English) Korean edition Association of C/C++ Users review Python Learning Foundation review Mississippi Python users group (Useless Python) review

This is a textbook for a "traditional" introduction to computer science course (CS1) using Python.

Learning Python is meant for beginning Python programmers, and others seeking a quick introduction to the language. It focuses on core language fundamentals in depth, is based on Mark Lutz's Python training classes, and includes numerous exercises with solutions to guide the reader through a hands-on learning experience.

O'Reilly's catalog page Author's book page Sample chapters Review of first edition by Phil Hughes in Linux Journal

A clear and concise description of Python aimed at readers who are already familiar with programming in at least one other language.

Two sample chapters Review by Francis Glassborow in _C Vu_ Review by Phil Hughes Review by AMK

A 2nd edition (complete rewrite moving it from Python 1.x to 3.x was published Jan 2010.

This book teaches programming in Python to true beginners. It started as a popular Web tutorial, and been expanded into a complete book.

A Python classic, updated and expanded to cover Python 2.5. The first edition, published in 1996, was the first Python book project to be signed. Programming Python is about what you can do with Python after you've mastered the language fundamentals - it assumes you already know the core language, and focuses on applications programming in gradual tutorial fashion. It is designed to be a natural follow-up to the book Learning Python. This book includes 300 pages on GUIs, 500 on Internet programming, and more on databases, systems programming, text processing, Python/C integration, and other topics. Also available in PDF form from O'Reilly.

O'Reilly's catalog page Author's book page Foreword by Guido van Rossum Review of the first edition by Greg Wilson Review of the first edition by Terry Rooker in ;login: Review of the first edition by Danny Yee

This handy reference guide summarizes Python statements, built-in functions, escape and formatting codes, and other prominent Python language features.

The book has introductory chapters on Python, networking, Apache, Linux, and MySQL. It is a self- contained reference to Python and open-source programming that makes use of Python to develop real applications that are also available under an open source license.

In the renowned Deitel series "How to Program"

The free text is available at:

Buy the dead-trees version at:

Prentice-Hall, 2001

ISBN: 0130409561

Atanas Radenski

The 'Python First' digital pack provides a gentle introduction to computer science. It is more than a book: Ten self-contained online chapters consist of e-texts, slides, 62 labs, tens of sample programs, and online quizzes. The 'Python First' pack includes a wealth of detailed self-guided labs that you can complete on your own.

Python 2

Practical Programming (in Python) "Practical Programming (in Python)" is meant as a first programming course and is tightly aligned with the University of Otago introductory programming course called Practical Programming. The textbook is organized into 24 "lectures" that cover all the basics of programming (sequence, selection, iteration, functions etc), plus all the major data structures supplied by Python.

Books no longer available

Python is a very powerful high level object oriented language and has easy bindings with C,C++,Java etc. It can very well be the first and the only language needed by a software tester for routine test automation tasks as well as for building robust general purpose test automation frameworks.

This online book is written keeping beginners in Python in mind. It bridges the gap between very basic tutorials and comprehensive books.

Learning Python ( Free eBook)

By Fabrizio Romano

ISBN 13: 9781783551712 Packt Publishing 442 pages (December 2015)

This book goes deeper than simply showing you how to build a Python app, giving you the fundamentals of Python programming that every developer needs to know to make the most of the language. Packed with tutorials and examples this title features everything from data structures, writing reusable code, testing, paradigms, and how Python can be adapted. This free eBook will help transform you from a complete beginner to someone ready to bring the best out of their projects.

This book is meant for programmers who wants to learn Python programming from a basic to an expert level. The book is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade.

CategoryPythonWebsite CategoryPyCon2008 CategoryPythonInEducation

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The books on this page are all general introductions to the Python language. Most of these books will contain a few chapters on particular applications such as GUI interfaces or Web programming, but won't go into great detail on any one topic; refer to the PythonBooks page for lists of application-specific books.

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Ovdje ćete nači odgovore

Kako pronaći i preuzeti instalacijsku datoteku i instalirati Python na svoje računalo?

Kako pokrenuti interaktivno sučelje Pythona?

Kako prilagoditi sučelje Pythona za ugodan rad?

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Interaktivno sučelje Pythona - prozor programa Python koji prikazuje ulazne podatke (podatke koje tipkovnicom unosimo u računalo) i izlazne podatke iz računala. U njemu se može isprobavati izvođenje pojedinih naredbi, a preko njega, po potrebi, otvaramo uređivačko sučelje i grafički prozor. Znači, služi kao veza s računalom pri izradi programa.

Cjelobrojno dijeljenje - matematička operacija koja se često koristi u programiranju. U Python-u postoji operator koji ga računa i oznaka mu je //.

U razrednoj nastavi ste učili dijeljenje s ostatkom, na primjer:

7 : 3 = 2 i ostatak 1.

2 je rezultat cjelobrojnog dijeljenja broja 7 s brojem 3 i u Python-u to pišemo ovako: 7 // 3.

Ostatak cjelobrojog dijeljenja - matematička operacija koja se često koristi u programiranju. U Python-u postoji operator koji ga računa i oznaka mu je %.

Ako pogledate prethodni primjer dijeljenja:

7 : 3 = 2 i ostatak 1.

1 je rezultat ostatka cjelobrojnog dijeljenja broja 7 s brojem 3 i u Python-u to pišemo ovako: 7 % 3.

Naredba - osnovni element računalnog programa koja naređuje računalu izvršavanje neke radnje.

Naredba print() - naređuje računalu da ispiše vrijednost koja se nalazi unutar okruglih zagrada.

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Kako pronaći i preuzeti instalacijsku datoteku a zatim instalirati Python na svoje računalo?

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Pokretanje programskog jezika Python

Matematičke operacije u Pythonu

U Pythonu vrijede pravila prioriteta matematičkih operacija. Prvo se izvršavaju operacije množenja i djeljenja, a potom operacije zbrajanja i oduzimanja.

Višestruki ispis znakova na zaslonu

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Python je besplatan programski jezik koji možemo preuzeti sa mrežne stranice www.python.org. Pomoću programskog jezika Python možemo na lagan i pristupačan način naučiti osnove programiranja. Kada smo Python instalirali na svoje računalo, potrebno je s popisa izabrati Idle Python i otvorit će nam se sučelje programskog jezika. Sve informacije ćemo pronaći na www.python.org.

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Naredbe za ponavljanje – programska petlja while

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Naredbe za ponavljanje – programska petlja while

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Emina Grmić
Poveznica:
https://bit.ly/3dFLwjX

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Informatika 1. r. SŠ - Naredbe za ponavljanje – programska petlja while

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Sanja Pavlović Šijanović
Poveznica:
https://bit.ly/INF-GIM-1-PY03

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Informatika 1. r. SŠ - Grananje u Pythonu

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Sanja Pavlović Šijanović
Poveznica:
https://bit.ly/INF-GIM-1-PY04

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Informatika 1. r. SŠ - Naredba za ponavljanje FOR u Pythonu

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Sanja Pavlović Šijanović
Poveznica:
https://bit.ly/INF-GIM-1-PY05

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Informatika 1. r. SŠ - Naredba za ponavljanje WHILE u Pythonu

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Informatika 1. r. SŠ - Uvod u programiranje u Pythonu

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Informatika 1. r. SŠ - Programiranje u Pythonu, 2.dio

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Informatika 5.r.
Autor: Marijana Škvorc

Poveznice za učenike:
https://bit.ly/3cOkZjr
https://bit.ly/2KsQuD5
https://bit.ly/2VOBsgo
https://bit.ly/3dy7iVT

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Informatika 5.r. - Stvaram i maštam u Pythonu

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Informatika 5. r OŠ
Autor: Iva Naranđa
Python - matematički operatori, LearningApps, spoji parove: https://bit.ly/2xUJX1H
Python - naredba za ispis, LearningApps, zadatak grupiranja (ispravno/neispravno): https://bit.ly/2KC0Pg2

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Informatika 5. r OŠ - Razmisljamo uz Python

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Ponavljanje gradiva - Programiranje u Pythonu

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Ponavljanje gradiva - Programiranje u Pythonu

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Python- 5. razred (ponavljanje): https://forms.office.com/Pages/ResponsePage.aspx?id=FvJamzTGgEurAgyaPQKQkaWI09SHl1JFnB1M26PKm1NUNk1FU00zUTVJVUZBUlA4MEFCMjY0WFU4VC4u

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Informatika 5. r. - Ponavljanje gradiva - Programiranje u Pythonu

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https://trinket.io/
Trinket lets you run and write code in any browser, on any device. Trinkets work instantly, with no need to log in, download plugins, or install software.
Trinket omogućuje pokretanje i pisanje koda u bilo kojem pregledniku, na bilo kojem uređaju. Trinket rade odmah, bez potrebe za prijavom, preuzimanjem dodataka ili instaliranja programa.

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The easiest way to use the full power of Python 3.

Edit and run the code, then click Share. There's no simpler way to write & share Python 3 code.

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Python 3 is available in our premium Trinket Code+ and Trinket Connect plans, designed specifically for learners and educators.

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The easiest way to use the full power of Python 3.

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Trinket lets you run and write code in any browser, on any device.

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Online Python3 Compiler - Online Python3 Editor - Online Python3 IDE - Python3 Coding Online - Practice Python3 Online - Execute Python3 Online - Compile Python3 Online - Run Python3 Online

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Online Python3 Compiler, Online Python3 Editor, Online Python3 IDE, Python3 Coding Online, Practice Python3 Online, Execute Python3 Online, Compile Python3 Online, Run Python3 Online, Online Python3 Interpreter, Execute Python-3 Online (Python v3.6.2)

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Visualize Python, Java, JavaScript, C, C++, Ruby code execution

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OnlineGDB is online IDE with python compiler. Quick and easy way to compile python program online. It supports python3.

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Write and run Python code using our online compiler (interpreter). You can use Python Shell like IDLE, and take inputs from the user in our Python compiler.

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Zapier is an online automation tool that connects your apps and services. You can connect two or more apps to automate repetitive tasks without coding or relying on developers to build the integration. This guide walks you through key concepts to help you get started with Zapier.

A Zap is an automated workflow that connects your apps and services together. Each Zap consists of a trigger and one or more actions. When you turn your Zap on, it will run the action steps every time the trigger event occurs.

Learn more about creating a Zap and managing your Zaps.

The Zap Editor allows you to create a Zap from scratch. In the Zap editor, you can select the trigger app, trigger, action app(s), action(s) and apply any optional filters.

An app is a web service or application, such as Google Docs, Slack, or Salesforce. Zapier offers integrations for over 1,000 apps, letting you move data between them or automate repetitive tasks. Explore the apps you can connect to Zapier .

A trigger is an event that starts a Zap. For example, if you want to send a text message each time you receive an email, the trigger is 'new email in inbox'. Learn more about using triggers in Zaps.

When you first set up your Zap trigger, Zapier will attempt to find some sample data from your trigger app to use in the Zap. For example, if your trigger brings in data from a new Google Sheets spreadsheet row, Zapier will pull in a sample row. The sample row can then be used as test data in an action step later in the Zap.

A Zap's syncing interval is the frequency that your Zaps will check the triggering app for new data. When you upgrade to a Professional plan or higher, your Zaps will check for new data and run every 5 minutes instead of every 15 minutes as on the Free and Starter plan. For example, if you use Zapier to trigger emails to customers, the emails will be sent within 5 minutes instead of 15 minutes. Learn more about Zapier's pricing plans .

An action is an event a Zap performs after it is triggered. For example, if you want to send a text message each time you receive an email, the action is 'send a text message'. Learn more about using actions in Zaps.

A task is a single action performed by Zapier. A single Zap can perform multiple tasks. For example, if your Zap has an action to create new Google Contacts, each contact that is created will use one task. Learn more about tasks in Zapier.

Your Task History displays a log of all your Zap activity, including all the data that goes in and out of each of your Zap steps. Learn more about Task History.

If you're on a Professional plan or higher and enable Autoreplay, Zapier will attempt to retry any tasks that fail due to temporary errors or downtime. Autoreplay will retry the action again immediately, and then a few more times if there is still an issue. If you're on a Starter plan or higher , you can manually replay any tasks that fail or were not successful.

Premium apps are exclusively available to users on a (Starter plan or higher). Premium apps are available for use in Zaps during your free 14-day trial, but will require a paid plan in order to continue using them after your trial expires.

Filters can be added to any Zap to restrict it to run only when certain conditions are met. For example, if you want to send a text message each time you receive an email, you can add a filter so the Zap only runs when emails are received from a specific email address. Learn more about using filters in Zaps.

Paths let you build advanced workflows to perform different actions based on different conditions. Paths use conditional, if/then logic: if A happens in your trigger app, then perform this action, if B happens, then perform this other action, and so on. Learn more about using paths in Zaps.

A single-step Zap has one trigger and one action. If the Zap has more than one action, or includes filters or searches, it is considered a multi-step Zap. Multi-step Zaps are not available on a free Zapier plan.

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Zapier is an online automation tool that connects your apps and services. You can connect two or more apps to automate repetitive tasks without coding or relying on developers to build the integration. This guide walks you through key concepts to help you get started with Zapier.

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Srce - Programiranje u Pythonu | FlipHTML5

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Programiranje u Pythonu - Zoran Hercigonja

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Programiranje u Pythonu - Zoran Hercigonja

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Serijal tekstova: Zajedno naučimo Python

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Serijal tekstova: Zajedno naučimo Python

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Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). Python is named after a TV Show called ëMonty Pythonís Flying Circusí and not after Python-the snake.

Python 3.0 was released in 2008. Although this version is supposed to be backward incompatibles, later on many of its important features have been backported to be compatible with version 2.7.This tutorial gives enough understanding on Python 3 version programming language. Please refer to this link for our Python 2 tutorial.

Why to Learn Python 3?

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:

Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.

Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs.

Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects.

Python is a Beginner's Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

Characteristics of Python

Following are important characteristics of python −

It supports functional and structured programming methods as well as OOP.

It can be used as a scripting language or can be compiled to byte-code for building large applications.

It provides very high-level dynamic data types and supports dynamic type checking.

It supports automatic garbage collection.

It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

Hello World using Python.

Just to give you a little excitement about Python, I'm going to give you a small conventional Python Hello World program, You can try it using Demo link.

print "Hello, Python!"

Applications of Python

As mentioned before, Python is one of the most widely used language over the web. I'm going to list few of them here:

Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.

Easy-to-read − Python code is more clearly defined and visible to the eyes.

Easy-to-maintain − Python's source code is fairly easy-to-maintain.

A broad standard library − Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.

Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.

Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms.

Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.

Databases − Python provides interfaces to all major commercial databases.

GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.

Scalable − Python provides a better structure and support for large programs than shell scripting.

Audience

This tutorial is designed for software programmers who want to upgrade their Python skills to Python 3. This tutorial can also be used to learn Python programming language from scratch.

Prerequisites

You should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages is a plus.

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Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). Python is named after a TV Show called ëMonty Pythonís Flying Circusí and not after Python-the snake.

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Python Programiranje - 1 - Uvod u Python

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Milenko Letic

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https://prezi.com/p/yf1c6l5dpmt9/graficko-sucelje-tkinter/

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Grafičko sučelje Tkinter Tkinter Tkinter modul ili "Tk sučelje" je standardno Python GUI sučelje. Omogućava lakše svladavanje Phyton programiranja Za korištenje Tkintera, potrebno je uvesti Tkinter modul pozivajući ga sa sljedećom naredbom: Naredba from Tkinter import* Naredba

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Informatika 8.r. - Grafičko sučelje Tkinter