# data[].attributes.body
Python 1(Introduction, variables & datatypes):

https://youtu.be/MOxlWqMA5nc?si=kR-kaITDde3tHZFF

Python 2(Strings and string methods)

https://youtu.be/xkh73vmKBs8?si=ETRIRXj0MFTfZIwD

Python 3(Lists, Tuples, Sets & Dictionaries)

https://youtu.be/w-NiCkWH70o?si=etG4BhywWgknEJ-7

Data Wrangling with Pandas - Series and DataFrames https://qahighereducation.com/ace-team-video-guides/

Data Wrangling with Pandas - Functionalities https://qahighereducation.com/ace-team-video-guides/

Data Wrangling with Pandas - Mathematical Operations 1 https://qahighereducation.com/ace-team-video-guides/

Data Wrangling with Pandas - loc and iloc https://qahighereducation.com/ace-team-video-guides/

# data[].attributes.headline
Magical Loops?  Iterations??  for and while loops?

# data[].attributes.subject
Magical Loops?  Iterations??  for and while loops?

# data[].attributes.body
https://colab.research.google.com/drive/1EF68XFGcDrmXFRU9cxcxkGHgZjrFIliH?usp=sharing

# data[].attributes.body
Activity 1:

Check if a number is positive, negative or zero

Get input from the user

if number >0

print +

if number <0

print number is -

else number is 0

Activity 2:

Odd or even?

Activity 3:

Largest of 3 numbers?

Activity 4:

Grade Calculation?

Activity 5:

Are you eligible to vote?

Activity 6:

Password Checker

Activity 7:

Basic Calculator

Activity 8:

Vehicle speed classification

Input from user

if speed is less than 20 --- slow

if speed is greater/equal to 20 and lesser than 40 -- medium

if speed is greater than or equal to 40 and lesser than 60 --- speed

else --- overspeed

Activity 9

Login system

Activity 10

Season Generator

# data[].attributes.body
Python Workshop Slides

# data[].attributes.attachment_link.title
IBM: Data Science and Machine Learning Capstone Project

# data[].attributes.attachment_link.description
Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model.

# data[].attributes.body
https://colab.research.google.com/drive/1w54R4RjtCAjjXcIPx-lKuCRqzqxDjBYY?usp=sharing

# data[].attributes.headline
Querying SQL from Python - Capstone Project

# data[].attributes.subject
Querying SQL from Python - Capstone Project

# data[].attributes.attachment_link.title
Capstone Project: Querying SQL from Python | DataWars

# data[].attributes.attachment_link.description
This Capstone project bridges SQL and Python to enhance your data manipulation and analysis skills. Working with the Chinook and DS3 databases, you’ll perform various SQL queries within a Python environment. Utilizing libraries such as `sqlite3`, `mysql.connector`, and `pandas`, this project offers a hands-on approach to integrating SQL queries with Python code, making it an ideal culmination of your SQL and Python learning journey.

# data[].attributes.body
https://www.freecodecamp.org/news/python-projects-for-beginners/

# data[].attributes.attachment_link.readable_text
The best way to learn a new programming language is to build projects with it.

I have created a list of 25 beginner friendly project tutorials in Python.

My advice for tutorials would be to watch the video, build the project, break it apart and rebuild it your own way. Experiment with adding new features or using different methods.

That will test if you have really learned the concepts or not.

You can click on any of the projects listed below to jump to that section of the article.

If you are not familiar with the basics of Python, then I would suggest watching this beginner freeCodeCamp Python tutorial.

Python Projects You Can Build

Mad libs Python Project

In this Kylie Ying tutorial, you will learn how to get input from the user, work with f-strings, and see your results printed to the console.

This is a great starter project to get comfortable doing string concatenation in Python.

Guess the Number Game Python Project (computer)

In this Kylie Ying tutorial, you will learn how to work with Python's random module, build functions, work with while loops and conditionals, and get user input.

Guess the Number Game Python Project (user)

In this Kylie Ying tutorial, you will build a guessing game where the computer has to guess the correct number. You will work with Python's random module, build functions, work with while loops and conditionals, and get user input.

Rock, paper, scissors Python Project

In this Kylie Ying tutorial, you will work with random.choice(), if statements, and getting user input. This is a great project to help you build on the fundamentals like conditionals and functions.

Hangman Python Project

In this Kylie Ying tutorial, you will learn how to work with dictionaries, lists, and nested if statements. You will also learn how to work with the string and random Python modules.

Countdown Timer Python Project

In this Code With Tomi tutorial, you will learn how to build a countdown timer using the time Python module. This is a great beginner project to get you used to working with while loops in Python.

Password Generator Python Project

In this Code With Tomi tutorial, you will learn how to build a random password generator. You will collect data from the user on the number of passwords and their lengths and output a collection of passwords with random characters.

This project will give you more practice working with for loops and the random Python module.

QR code encoder / decoder Python Project

In this Code With Tomi tutorial, you will learn how to create your own QR codes and encode/decode information from them. This project uses the qrcode library.

This is a great project for beginners to get comfortable working with and installing different Python modules.

Tic-Tac-Toe Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game with various players in the command line. You will learn how to work with Python's time and math modules as well as get continual practice with nested if statements.

Tic-Tac-Toe AI Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game where the computer never loses. This project utilizes the minimax algorithm which is a recursive algorithm used for decision making.

Binary Search Python Project

In this Kylie Ying tutorial, you will learn how to implement the divide and conquer algorithm called binary search. This is a common searching algorithm which comes up in job interviews, which is why it is important to know how to implement it in code.

Minesweeper Python Project

In this Kylie Ying tutorial, you will build the classic minesweeper game in the command line. This project focuses on recursion and classes.

Sudoku Solver Python Project

In this Kylie Ying tutorial, you will learn how to build a sudoku solver which utilizes the backtracking technique. Backtracking is a recursive technique that searches for every possible combination to help solve the problem.

Photo Manipulation in Python Project

In this Kylie Ying tutorial, you will learn how to create an image filter and change the contrast, brightness, and blur of images. Before starting the project, you will need to download the starter files.

Markov Chain Text Composer Python Project

In this Kylie Ying tutorial, you will learn about the Markov chain graph model and how it can be applied the relationship of song lyrics. This project is a great introduction into artificial intelligence in Python.

Pong Python Project

In this Christian Thompson tutorial, you will learn how to recreate the classic pong game in Python. You will be working with the os and turtle Python modules which are great for creating graphics for games.

Snake Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic snake game in Python. This project uses Object-oriented programming and Pygame which is a popular Python module for creating games.

Connect Four Python Project

In this Keith Galli tutorial, you will learn how to build the classic connect four game. This project utilizes the numpy, math, pygame and sys Python modules.

This project is great if you have already built some smaller beginner Python projects. But if you haven't built any Python projects, then I would highly suggest starting with one of the earlier projects on the list and working your way up to this one.

Tetris Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic Tetris game. This project utilizes Pygame and is great for beginner developers to take their skills to the next level.

Online Multiplayer Game Python Project

In this Tech with Tim tutorial, you will learn how to build an online multiplayer game where you can play with anyone around the world. This project is a great introduction to working with sockets, networking, and Pygame.

Web Scraping Program Python Project

In this Code With Tomi tutorial, you will learn how to ask for user input for a GitHub user link and output the profile image link through web scraping. Web scraping is a technique that collects data from a web page.

Bulk File Re-namer Python Project

In this Code With Tomi tutorial, you will learn how to build a program that can go into any folder on your computer and rename all of the files based on the conditions set in your Python code.

Weather Program Python Project

In this Code With Tomi tutorial, you will learn how to build a program that collects user data on a specific location and outputs the weather details of that provided location. This is a great project to start learning how to get data from API's.

Code a Discord Bot with Python - Host for Free in the Cloud

In this Beau Carnes tutorial, you will learn how to build your own bot that works in Discord which is a platform where people can come together and chat online. This project will teach you how to work with the Discord API and Replit IDE.

After this video was released, Replit changed how you can store your environments variables in your program. Please read through this tutorial on how to properly store environment variables in Replit.

Space Invaders Game Python Project

In this buildwithpython tutorial, you will learn how to build a space invaders game using Pygame. You will learn a lot of basics in game development like game loops, collision detection, key press events, and more.

# data[].attributes.attachment_link.title
25 Python Projects for Beginners - Easy Ideas to Get Started Coding Python

# data[].attributes.attachment_link.description
The best way to learn a new programming language is to build projects with it. I have created a list of 25 beginner friendly project tutorials in Python. My advice for tutorials would be to watch the video, build the project, break it apart and rebuild it your own way.

# data[].attributes.headline
Capstone: Retrieving, Processing, and Visualizing Data with Python

# data[].attributes.subject
Capstone: Retrieving, Processing, and Visualizing Data with Python

# data[].attributes.attachment_link.title
Capstone: Retrieving, Processing, and Visualizing Data with Python

# data[].attributes.attachment_link.description
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.

# data[].attributes.body
https://www.w3schools.com/python/default.asp

# data[].attributes.attachment_link.description
W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.

# data[].attributes.body
https://replit.com/

# data[].attributes.attachment_link.description
Offered by IBM. By completing this final capstone project you will apply various Data Analytics skills and techniques that you have learned ... Enroll for free.

# data[].attributes.body
Make changes and play with this sample activity! Send me your screenshot:)

# data[].attributes.attachment_link.readable_text
Information about specific ports, and developer info

OpenPGP Public Keys

Source and binary executables are signed by the release manager or binary builder using their OpenPGP key. Release files for currently supported releases are signed by the following:

Release files for older releases which have now reached end-of-life may have been signed by one of the following:

You can import a person's public keys from a public keyserver network server you trust by running a command like:

or, in many cases, public keys can also be found at keybase.io. On the version-specific download pages, you should see a link to both the downloadable file and a detached signature file. To verify the authenticity of the download, grab both files and then run this command:

gpg --verify Python-3.6.2.tgz.asc

Note that you must use the name of the signature file, and you should use the one that's appropriate to the download you're verifying.

(These instructions are geared to GnuPG and Unix command-line users.)

macOS Installer Packages

Installer packages for Python on macOS downloadable from python.org are signed with with an Apple Developer ID Installer certificate.

As of Python 3.11.4 and 3.12.0b1 (2023-05-23), release installer packages are signed with certificates issued to the Python Software Foundation (Apple Developer ID BMM5U3QVKW)).

Installer packages for previous releases were signed with certificates issued to Ned Deily (DJ3H93M7VJ).

Other Useful Items

Looking for 3rd party Python modules? ThePackage Index has many of them.

You can view the standard documentation online, or you candownload it in HTML, PostScript, PDF and other formats. See the mainDocumentation page.

Information on tools for unpacking archive files provided on python.org is available.

Tip: even if you download a ready-made binary for your platform, it makes sense to also download thesource. This lets you browse the standard library (the subdirectoryLib) and the standard collections of demos (Demo) and tools (Tools) that come with it. There's a lot you can learn from the source!

There is also a collection of Emacs packages that the Emacsing Pythoneer might find useful. This includes major modes for editing Python, C, C++, Java, etc., Python debugger interfaces and more. Most packages are compatible with Emacs and XEmacs.

Want to contribute?

Want to contribute? See the Python Developer's Guide to learn about how Python development is managed.

# data[].attributes.attachment_link.keywords[]
python programming language object oriented web free open source software license documentation download community

# data[].attributes.attachment_link.description
The official home of the Python Programming Language

# data[].attributes.headline
Google Colab: Python IDE, Online Representation of Jupyter Notebook

# data[].attributes.subject
Google Colab: Python IDE, Online Representation of Jupyter Notebook

# data[].attributes.body
https://colab.research.google.com/

# data[].attributes.body
Getting Started with PyCharm Video

https://www.youtube.com/watch?v=2EB8siO-_OM&list=PLCTHcU1KoD98IeuVcqJ2rt1FNytfR_C90

# data[].attributes.attachment_link.description
Learn Python from scratch, perfect your existing skills, or create educational courses right in PyCharm.

# data[].attributes.body
Your feedback is valuable for me. Please leave your thoughts here.

# data[].attributes.attachment_link.title
QRCode for Computing Workshop Feedback Form

# data[].attributes.body
https://wiki.python.org/moin/BeginnersGuide

# data[].attributes.attachment_link.readable_text
Beginner's Guide to Python

New to programming? Python is free and easy to learn if you know where to start! This guide will help you to get started quickly.

Chinese Translation

New to Python?

Read BeginnersGuide/Overview for a short explanation of what Python is.

Getting Python

Next, install the Python 3 interpreter on your computer. This is the program that reads Python programs and carries out their instructions; you need it before you can do any Python programming. Mac and Linux distributions may include an outdated version of Python (Python 2), but you should install an updated one (Python 3). See BeginnersGuide/Download for instructions to download the correct version of Python.

There are also Python interpreter and IDE bundles available, such as Thonny. Other options can be found at IntegratedDevelopmentEnvironments.

At some stage, you'll want to edit and save your program code. Take a look at HowToEditPythonCode for some advice and recommendations.

Learning Python

Next, read a tutorial and try some simple experiments with your new Python interpreter.

If you have never programmed before, see BeginnersGuide/NonProgrammers for a list of suitable tutorials.

If you have previous programming experience, consult BeginnersGuide/Programmers, which lists more advanced tutorials.

If English isn't your first language, you might be more comfortable with a tutorial that's been translated into your language. Consult python.org's list of Non-English resources.

Most tutorials assume that you know how to run a program on your computer. If you are using Windows and need help with this, see How do I Run a Program Under Windows.

Some sites offer in-browser coding for those who want to learn Python:

A completely free beginners tutorial with interactive, editable code examples

Codecademy

Coding Bootcamps

DataCamp

Dataquest for Python for data science.

HackInScience free and open source platform.

High School Technology Services for general Python

Print a cheat sheet of the most important Python features and post it to your office wall until you know the basics well.

Once you have read a tutorial, you can browse through Python's online documentation. It includes a tutorial that might come in handy, a Library Reference that lists all of the modules that come standard with Python, and the Language Reference for a complete (if rather dry) explanation of Python's syntax.

When you are ready to write your first program, you will need a text editor or an IDE. If you don't want to use Thonny or something more advanced, then you can use IDLE, which is bundled with Python and supports extensions.

This Python wiki also contains a page about Python One-Liners -- an obscure but interesting subculture in Python.

Need Help?

Need help with any of this? Read BeginnersGuide/Help for mailing lists and newsgroups.

Most Python books will include an introduction to the language; see IntroductoryBooks for suggested titles.

Consult BeginnersGuide/Examples for small programs and little snippets of code that can help you learn.

Or, if you prefer to learn Python through listening to a lecture, you can attend a training course or even hire a trainer to come to your company. Consult the PythonEvents page to see if any training courses are scheduled in your area and the PythonTraining page for a list of trainers.

Teachers can join the EDU-SIG, a mailing list for discussion of Python's use in teaching at any level ranging from K-12 up to university.

Complete list of Beginner's Guide pages

1. BeginnersGuide/Download

2. BeginnersGuide/Examples

3. BeginnersGuide/Help

4. BeginnersGuide/Mathematics

5. BeginnersGuide/NonProgrammers

6. BeginnersGuide/Overview

7. BeginnersGuide/Programmers

8. BeginnersGuide/Programmers (Cpp2Python.pdf)

9. BeginnersGuide/Programmers/SimpleExamples

Quiz and Exercises

Finxter - How good are your Python skills? Test and Training with a Daily Python Puzzle

CheckIO - Online learning, testing and improving your python skills

After Hours Programming - Python Quiz

Python Guru Quiz- Python Quiz

Pyschools - A Collection of Python Quiz and Exercise Questions

PyGUI - Collection of python quiz answers, Examples And GUI Tkinter Tutorials For Beginners

Pythonspot - Python Quiz

Python Challenge - A Python Quiz App on Android Platform

CS Circles - online lessons and graded exercises

Python Style Checker

Pythonchecker.com - An educative online tool to rate your Python style (with dynamic score computation and hints)

Looking for a particular Python module or application?

The first place to look is the Python Package Index.

If you can't find anything relevant in the Package Index,
try searching python.org - you can find anything mentioned on the Python site, in the FAQs, or in the newsgroup. More info: where to search.

You may also try our external guest project, pydoc.net, for advanced package and module search.

Next, try Google or another search engine of your choice. Searching for "python" and some relevant keywords will usually find something helpful.

Finally, you can try posting a query to the comp.lang.python Usenet group.

Python: Collection of 11 Best Python Cheat Sheets

NumPy: Collection of 10 Best NumPy Cheat Sheets

Pandas: Collection of 7 Beautiful Pandas Cheat Sheets

Machine Learning: Collection of 15 Machine Learning Cheat Sheets

Want to contribute?

Python is a product of the Python Software Foundation, a non-profit organization that holds the copyright. Donations to the PSF are tax-deductible in the USA, and you can donate via credit card or PayPal.

To report a bug in the Python core, use the Python Bug Tracker.

To contribute a bug fix or other patch to the Python core, read the Python Developer's Guide for more information about Python's development process.

To contribute to the official Python documentation, join the Documentation SIG, write to docs@python.org , or use the Issue Tracker to contribute a documentation patch.

To announce your module or application to the Python community, use comp.lang.python.announce. See the guide to Python mailing lists for more information.

To propose changes to the Python core, post your thoughts to comp.lang.python. If you have an implementation, follow the Python Patch Guidelines.

If you have a question are not sure where to report it, check out the WhereDoIReportThis? page.

CategoryDocumentation

# data[].attributes.attachment_link.description
New to programming? Python is free and easy to learn if you know where to start! This guide will help you to get started quickly.

# data[].attributes.body
https://talkpython.fm/episodes/all

# data[].attributes.attachment_link.description
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders.