Data Types define the type of value a variable can hold, specifying the operations that can be performed on it and the methods of storage and representation.

Operators are symbols or keywords that perform operations on one or more operands, such as arithmetic, comparison, and logical (see above to explore) facilitating various computations and manipulations within the code.

Example Code:

mystring = "Hello, World!"

Example Code (Addition):

num1 = 10

num2 = 5

add = num1 + num2

print("Sum:", add)

The output would appear like:

"Sum: 15"

Example Code (And):

num1 = 10

num2 = 5

condition = (num1 > 0) and (num2 < 10)

print(condition)

The output would appear like:

"True"

Example Code (Greater Than):

num1 = 10

num2 = 5

condition = num1 > num2

print("Greater Than:", condition)

The output would appear:

"Greater than: True"

Example Code:

colors = ["red", "blue", "green"]

secondcolor = colors[1]

print("Second color:", second color)

print("List of colors:", colors)

Output:

"Second color: blue"

"List of colors: red blue green"

Example Code:

numbers = [1, 2, 3, 4, 5]

for num in numbers:

print(num)

Output:

1

2

3

4

5

Analysis: This is a super simple example of a "for" loop in Python that iterates over a list of numbers and prints each number

An example of a built-in function in Python is the len() function, which returns the number of items in a given iterable (e.g., string, list, or tuple)

We have seen this multiple times in out example codes.

Example Code:

file = 'example.txt'

with open(file, 'r') as file:

content = file.read()

print(content)

Output:

Let's say the file said "Happy Birthday"

It would print "Happy Birthday" as this in the content withing the file. This is what it read

Example Code:

import csv

csvfile = 'example.csv'

with open(csvfile, 'r') as file:

csv_reader = csv.reader(file)

for row in csv_reader:

print(row)

Output:

If our CSV file looked like

Name: Patrick, Age: 19, City: South Bend

we would see ['Patrick', '19', 'South Bend']

{

"name": "Patrick",

"age": 19,

"city": "South Bend",

"isStudent": true,

"grades": [90, 92, 91],

}

With JSON, it is a data structure, so it doesn't have an output in the way the other code we have explored does.

This can be used in assisting with the Web Scraping process to sort the data.