Python Projects

Here is the list of all the projects

This repository contains a curated list of all Python projects completed over the course of 100 days as part of our Python projects initiative.

Resources ✔

Books that we recommend

Book Title	Author(s)	Topics Covered	Level
Python Crash Course	Eric Matthes	Python Basics, Projects	Beginner
Automate the Boring Stuff with Python	Al Sweigart	Practical Python Programming, Automation	Beginner
Python Data Science Handbook	Jake VanderPlas	Data Science, NumPy, Pandas, Matplotlib	Intermediate
Fluent Python	Luciano Ramalho	Advanced Python, Best Practices	Advanced
Introduction to Algorithms	Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein	Data Structures, Algorithms	Intermediate to Advanced
Python for Data Analysis	Wes McKinney	Data Analysis, Pandas, NumPy	Intermediate
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurélien Géron	Machine Learning, Deep Learning	Intermediate to Advanced
Grokking Algorithms	Aditya Bhargava	Algorithms, Data Structures	Beginner to Intermediate
Deep Learning with Python	François Chollet	Deep Learning, Keras	Intermediate to Advanced
Python Machine Learning	Sebastian Raschka, Vahid Mirjalili	Machine Learning, Deep Learning	Intermediate to Advanced
Artificial Intelligence: A Modern Approach	Stuart Russell, Peter Norvig	AI Concepts, Techniques, Applications	Advanced
Effective Python	Brett Slatkin	Best Practices, Pythonic Code	Intermediate
Elements of Programming Interviews in Python	Adnan Aziz, Tsung-Hsien Lee, Amit Prakash	Algorithms, Data Structures, Coding Interviews	Intermediate to Advanced
Python Tricks: The Book	Dan Bader	Tips and Tricks, Best Practices	Intermediate
Programming Collective Intelligence	Toby Segaran	Machine Learning, Data Mining, AI	Intermediate

Youtube channels that we recommend

Channel Name	URL	Description	Level
Corey Schafer	Link	Comprehensive Python tutorials and projects	Beginner to Intermediate
freeCodeCamp.org	Link	Full Python courses and project-based learning	Beginner to Intermediate
sentdex	Link	Python programming, data science, machine learning	Intermediate to Advanced
Programming with Mosh	Link	Python tutorials covering basics and advanced topics	Beginner to Intermediate
CS Dojo	Link	Python programming, algorithms, and data structures	Beginner to Intermediate
Tech With Tim	Link	Python tutorials, game development, and projects	Beginner to Intermediate
The Net Ninja	Link	Python basics, Django, and Flask tutorials	Beginner to Intermediate
Traversy Media	Link	Python tutorials, full-stack development	Beginner to Intermediate
Real Python	Link	Python tips, tutorials, and best practices	Intermediate to Advanced
Edureka	Link	Python for data science, machine learning, AI	Intermediate
Clever Programmer	Link	Python tutorials, web development, and projects	Beginner to Intermediate
Data School	Link	Python for data analysis, pandas, machine learning	Intermediate
Telusko	Link	Python basics, OOP, advanced topics	Beginner to Intermediate
Krish Naik	Link	Python for machine learning, deep learning, AI	Intermediate to Advanced
Joma Tech	Link	Python programming, career advice in tech	Beginner to Intermediate

Websites for practice and learn

Website Name	URL	Description	Level
Codecademy	Link	Interactive Python courses	Beginner
Coursera	Link	Python courses from top universities and institutions	Beginner to Advanced
edX	Link	Python courses from universities	Beginner to Advanced
Udemy	Link	Wide range of Python courses and tutorials	Beginner to Advanced
HackerRank	Link	Python practice problems and coding challenges	Intermediate
LeetCode	Link	Python coding challenges and algorithms practice	Intermediate to Advanced
Real Python	Link	In-depth Python tutorials, articles, and videos	Intermediate to Advanced
Python.org	Link	Official Python documentation and tutorials	All Levels
GeeksforGeeks	Link	Python tutorials, algorithms, and data structures	Beginner to Advanced
W3Schools	Link	Python basics and interactive tutorials	Beginner
DataCamp	Link	Python for data science and analytics	Beginner to Intermediate
Kaggle	Link	Python for data science, machine learning competitions	Intermediate
Pluralsight	Link	Python courses covering various topics	Beginner to Advanced
Sololearn	Link	Interactive Python tutorials and exercises	Beginner
Exercism	Link	Python exercises with mentor feedback	Intermediate

Contact

Information on how to get in touch with the repository maintainer(s). Join our online community - matrix.org

Contributing to Python Learn Repository

Thank you for your interest in contributing to the Python Learn repository! We appreciate your efforts to help improve the content and resources for learners. Please follow these guidelines to contribute effectively.

How to Contribute

1. Fork the Repository:

   • Click the "Fork" button at the top right corner of this repository to create a copy of the repository on your own GitHub account.

2. Clone the Repository:

   • Clone your forked repository to your local machine using the following command:

     git clone https://github.com/your-username/python-learn.git

3. Create a New Branch:

   • Create a new branch for your contribution using the following command:

     git checkout -b your-branch-name

4. Make Your Changes:

   • Add new content, fix bugs, improve documentation, or make any other relevant changes.
   • Ensure your code follows the repository's style guidelines and conventions.

5. Commit Your Changes:

   • Commit your changes with a clear and descriptive commit message:

     git add .
     git commit -m "Description of your changes"

6. Push Your Changes:

   • Push your changes to your forked repository:

     git push origin your-branch-name

7. Create a Pull Request:

   • Go to the original repository on GitHub and click on the "New Pull Request" button.
   • Select your branch from the "compare" dropdown.
   • Provide a clear description of your changes and submit the pull request.

Contribution Guidelines

Code Contributions

• Style: Follow the PEP 8 style guide for Python code.
• Testing: Ensure that your code passes all tests. Add new tests if applicable.
• Documentation: Update documentation and comments where necessary.

Content Contributions

• Quality: Ensure that the content is clear, concise, and accurate.
• Relevance: Make sure the content is relevant to the repository’s purpose.
• Attribution: Give proper credit if you are using external sources or references.

Issue Reporting

• Search Existing Issues: Before opening a new issue, please check if it already exists.
• Provide Details: When reporting an issue, include as much detail as possible to help us understand and resolve it.

Pull Request Review

• Feedback: Be open to feedback and ready to make necessary changes.
• Respect: Be respectful and considerate in your interactions with other contributors and maintainers.

Community Guidelines

• Respect: Treat everyone with respect. Be polite and considerate in your communication.
• Collaboration: Be open to collaboration and willing to help others.
• Inclusivity: Strive to create an inclusive and welcoming environment for everyone.

Thank you for contributing to the Python Learn repository! Your efforts help make this a valuable resource for learners around the world.

Project List

• NotepadGUI - This is a demo notepad GUI application made using tkinter library.
• ImageToToonConvertor - This project converts normal image to animated image.
• GetInfoPhoneNumber - This project retrieve information of caller by their phone number
• Implementing_Logic_gates_using_perceptron - This project is used for implementing_Logic_gates_using_perceptron.
• VideoGameSalesPrediction - This project is used for video game sales predictionby using pre-defined dataset by kaggle.
• [Email Scheduler] - This project is used for scheduling emails