print("Hello, CoSSA!")https://www.python.org/downloads/
Having a student account will enable you to get 3 months free access to Datacamp. This platform has one of the best Python Courses.
We recommends Jetbrains' Pycharm Professional IDE. VSCODE is good too.
Data Science ➡️ Machine Learning ➡️ Deep Learning ➡️ Computer Vision
These are some free Certificates You can obtain online. Post them on your LinkedIn and CV! From our Awesome-Certificates repo ⭐ 🏅= Digital Badge 🏆 = Certificate of Completion
| Course Name | Course Provider | Level | Hour(s) | Reward |
|---|---|---|---|---|
| MongoDB for Python Developers | MongoDB | Intermediate | 6.5 | 🏆 |
| Data Analysis with Python | IBM / Cognitive Class | Intermediate | 3 | 🏅 |
| Data Analysis with Python Certification | FreeCodeCamp | Professional | 300 | 🏆 |
| Data Visualization with Python | IBM / Cognitive Class | Intermediate | 3 | 🏅 |
| Python for Data Science | IBM / Cognitive Class | Beginner | 3 | 🏅 |
| Machine Learning with Python | IBM / Cognitive Class | Beginner | 3 | 🏅 |
| Machine Learning with Python Certification | FreeCodeCamp | Professional | 300 | 🏆 |
| Programming Essentials In Python | Cisco Networking Academy | Intermediate | 70 | 🏆 |
| Scientific Computing with Python Certification | FreeCodeCamp | Professional | 300 | 🏆 |
| Python | HackerRank | Beginner | 1.5 | 🏆 |
| Intro to Graph Analytics in Python free course | Memgraph | Intermediate | 3 | 🏅 |
| Python | Kaggle | Beginner | 5 | 🏆 |
| Pandas | Kaggle | Beginner | 4 | 🏆 |
| Intro to Programming | Kaggle | Beginner | 5 | 🏆 |
| Python for Machine Leaning and Data Science | Great Leaning | Beginner | 3 | 🏆 |
If you learn best by building from Our Build-Your-Own-X repo ⭐
- Python: A 3D Modeller
- Python: Augmented Reality with Python and OpenCV
- Python: A BitTorrent client in Python 3.5
- Python: Learn Blockchains by Building One
- Python: Build your own blockchain: a Python tutorial
- Python: A Practical Introduction to Blockchain with Python
- Python: Let’s Build the Tiniest Blockchain
- Python: How to Build Your First Slack Bot with Python
- Python: How to build a Slack Bot with Python using Slack Events API & Django under 20 minute
- Python: Build a Reddit Bot
- Python: How To Make A Reddit Bot [video]
- Python: How To Create a Telegram Bot Using Python
- Python: Create a Twitter Bot in Python Using Tweepy
- Python: Creating Reddit Bot with Python & PRAW [video]
- Python: DBDB: Dog Bed Database
- Python: Write your own miniature Redis with Python
- Python: A workshop on Linux containers: Rebuild Docker from Scratch
- Python: A proof-of-concept imitation of Docker, written in 100% Python
- Python: Emulation Basics: Write your own Chip 8 Emulator/Interpreter
- Python: Developing Games With PyGame
- Python: Making Games with Python & Pygame [pdf]
- Python: Roguelike Tutorial Revised
- Python: Just enough of a Git client to create a repo, commit, and push itself to GitHub
- Python: Write yourself a Git!
- Python: ugit: Learn Git Internals by Building Git Yourself
- C / 🐍: Build your own VPN/Virtual Switch
- Python: A Neural Network in 11 lines of Python
- Python: Implement a Neural Network from Scratch
- Python: Optical Character Recognition (OCR)
- Python: Traffic signs classification with a convolutional network
- Python: Generate Music using LSTM Neural Network in Keras
- Python: An Introduction to Convolutional Neural Networks
- Python: Neural Networks: Zero to Hero
- Python: A Python Interpreter Written in Python
- Python: lisp.py: Make your own Lisp interpreter
- Python: How to Write a Lisp Interpreter in Python
- Python: Let’s Build A Simple Interpreter
- Python: Make Your Own Simple Interpreted Programming Language [video]
- Python: From Source Code To Machine Code: Build Your Own Compiler From Scratch
- Python: Build Your Own Regular Expression Engines: Backtracking, NFA, DFA
- Python: Building a search engine using Redis and redis-py
- Python: Building a Vector Space Indexing Engine in Python
- Python: Building A Python-Based Search Engine [video]
- Python: Making text search learn from feedback
- Python: Finding Important Words in Text Using TF-IDF
- Python: Approach: Building a toy template engine in Python
- Python: A Template Engine
- Python: Python Tutorial: Make Your Own Text Editor [video]
- Python: Create a Simple Python Text Editor!
- Python: Developing a License Plate Recognition System with Machine Learning in Python
- Python: Building a Facial Recognition Pipeline with Deep Learning in Tensorflow
- Python: Browser Engineering
- Python: A Simple Web Server
- Python: Let’s Build A Web Server.
- Python: Web application from scratch
- Python: Building a basic HTTP Server from scratch in Python
- Python: Implementing a RESTful Web API with Python & Flask
- Python: Build a Deep Learning Library [video]
- Python: How to Build a Kick-Ass Mobile Document Scanner in Just 5 Minutes
- Python: Continuous Integration System
- Python: Recommender Systems in Python: Beginner Tutorial
- Python: Write SMS-spam detector with Scikit-learn
- Python: A Simple Content-Based Recommendation Engine in Python
- Python: Stock Market Predictions with LSTM in Python
- Python: Building a simple Generative Adversarial Network (GAN) using Tensorflow
- Python: Learn ML Algorithms by coding: Decision Trees
- Python: JSON Decoding Algorithm
- Python: Build your own Git plugin with python
Learn By Reading Books from our Free Programming Books repo ⭐
- 100 Page Python Intro - Sundeep Agarwal
- 20 Python Libraries You Aren't Using (But Should) - Caleb Hattingh
- A Beginner's Python Tutorial - Wikibooks
- A Byte of Python (3.x) (HTML, PDF, EPUB, Mobi)
- A Guide to Python's Magic Methods - Rafe Kettler
- A Practical Introduction to Python Programming - Brian Heinold (HTML, PDF, Exercises sources)
- A Whirlwind Tour of Python - Jake VanderPlas
- An Introduction to Statistical Learning with Applications in Python - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor (PDF)
- Architecture Patterns with Python - Harry J.W. Percival, Bob Gregory (HTML)
- Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners - Al Sweigart (3.8)
- Automate the Boring Stuff with Python: Practical Programming for Total Beginners - Al Sweigart (3.4)
- Beej's Guide to Python Programming - For Beginners - Brian "Beej Jorgensen" Hall (HTML,PDF)
- Beyond the Basic Stuff with Python - Al Sweigart (3.x)
- Biopython Tutorial and Cookbook (PDF)
- Build applications in Python the antitextbook (3.x) (HTML, 🐍, PDF, EPUB, Mobi)
- Building Data Products: The Ultimate Guide (HTML, EPUB)
- Building Skills in Object-Oriented Design, V4 - Steven F. Lott (3.7)
- Building Skills in Object-Oriented Design, Release 2.2.1 - Steven F. Lott (PDF) (2.2.1) (:card_file_box: archived)
- Building Skills in Object-Oriented Design, Release 3.1 - Steven F. Lott (PDF) (3.1) (:card_file_box: archived)
- Building Skills in Python - Steven F. Lott (PDF) (2.6) (:card_file_box: archived)
- Clean Architectures in Python - A practical approach to better software design (2022) - Leonardo Giordani (3.x) (PDF)
- Code Like a Pythonista: Idiomatic Python - David Goodger (:card_file_box: archived)
- Composing Programs (3.x)
- Computational and Inferential Thinking - Ani Adhikari, John DeNero, David Wagner (HTML)
- Cracking Codes with Python - Al Sweigart (3.6)
- Data Structures and Algorithms in Python - B. R. Preiss (PDF) (:card_file_box: archived)
- Data Structures and Information Retrieval in Python - Allen B. Downey
- Dive into Python 3 - Mark Pilgrim (3.0)
- Dive into Python - Mark Pilgrim (2.3)
- Essential Python - Krzysztof Kowalczyk, StackOverflow Contributors
- Full Stack Python - Matt Makai
- Functional Programming in Python - David Mertz
- Fundamentals of Python Programming - Richard L. Halterman (PDF) (:construction: in process)
- Geographic Data Science with Python - Sergio Rey, Dani Arribas-Bel, Levi John Wolf (HTML)
- Google's Python Class (2.4 - 2.x)
- Google's Python Style Guide
- Hadoop with Python - Zachary Radtka, Donald Miner
- Hands-On Natural Language Processing with Python - Rajesh Arumugam, Rajalingappaa Shanmugamani (Packt account required)
- Hands-on Python 3 Tutorial - Andrew N. Harrington (HTML)
- Hitchhiker's Guide to Python! (2.6)
- How to Code in Python 3 - Lisa Tagliaferri (PDF)
- How to Think Like a Computer Scientist: Learning with Python, Interactive Edition - Brad Miller, David Ranum, Jeffrey Elkner, Peter Wentworth, Allen B. Downey, Chris Meyers, Dario Mitchell (3.2)
- How to Think Like a Computer Scientist: Learning with Python 1st Edition - Allen B. Downey, Jeff Elkner, Chris Meyers (2.4) (HTML, PDF)
- How to Think Like a Computer Scientist: Learning with Python 2nd Edition - Jeffrey Elkner, Allen B. Downey, Chris Meyers (Using Python 2.x)
- How to Think Like a Computer Scientist: Learning with Python 3 (RLE) - Peter Wentworth, Jeffrey Elkner, Allen B. Downey, Chris Meyers (PDF)
- Inside The Python Virtual Machine - Obi Ike-Nwosu (HTML)
- Intermediate Python - Muhammad Yasoob Ullah Khalid (1st edition)
- Introduction to Programming with Python (3.3)
- Introduction to Programming Using Python - Cody Jackson (1st edition) (2.3)
- Introduction to Python - Kracekumar (2.7.3)
- Introduction to Python for Econometrics, Statistics and Numerical Analysis - Kevin Sheppard (PDF) (3.8)
- Introduction to Scientific Programming with Python - Joakim Sundnes (PDF) (CC BY)
- Invent Your Own Computer Games With Python - Al Sweigart (3.4)
- Learn Python 3 - Ankit Mahato (PDF, HTML, Markdown)
- Learn Python, Break Python
- Learn Python in Y minutes - LearnXinYMinutes (HTML)
- Learn Python Programming, Second Edition - Fabrizio Romano (Packt account required)
- Learn Python the Right Way
- Learn Python Visually - Ivelin Demirov (:card_file_box: archived)
- Learn to Program Using Python - Cody Jackson (PDF) (:card_file_box: archived)
- Learning to Program
- Lectures on scientific computing with python - J.R. Johansson (2.7)
- Making Games with Python & Pygame - Al Sweigart (3.2)
- Math for programmers (using python)
- Modeling and Simulation in Python - Allen B. Downey (PDF)
- Modeling Creativity: Case Studies in Python - Tom D. De Smedt (PDF)
- Natural Language Processing (NLP) with Python — Tutorial (PDF)
- Natural Language Processing with Python (3.x)
- Non-Programmer's Tutorial for Python 3 - Wikibooks (3.3)
- Non-Programmer's Tutorial for Python 2.6 - Wikibooks (2.6)
- Picking a Python Version: A Manifesto - David Mertz
- Porting to Python 3: An In-Depth Guide (2.6 - 2.x & 3.1 - 3.x)
- Practical Programming in Python - Jeffrey Elkner (PDF)
- Practice Python Projects - Sundeep Agarwal
- Pro Python Advanced coding techniques and tools - Marty Alchin (PDF)
- Problem Solving with Algorithms and Data Structures using Python - Bradley N. Miller, David L. Ranum (3.x)
- Program Arcade Games With Python And Pygame (3.3)
- Programming Basics with Python - Svetlin Nakov & Team
- Programming Computer Vision with Python (PDF)
- Programming for Non-Programmers, Release 2.6.2 - Steven F. Lott (PDF) (2.6) (:card_file_box: archived)
- PySDR: A Guide to SDR and DSP using Python - Marc Lichtman (3.x)
- Python 101 - Michael Driscoll (HTML, TEXT)
- Python 2 Official Documentation (PDF, HTML, TEXT) (2.x)
- Python 2.7 quick reference - John W. Shipman (PDF) (2.7) (:card_file_box: archived)
- Python 3 Official Documentation (PDF, EPUB, HTML, TEXT) (3.x)
- Python 3 Patterns, Recipes, and Idioms - Bruce Eckel & Friends
- Python 3 Tutorial
- Python Data Science Handbook - Jake VanderPlas (HTML, Jupyter Notebooks)
- Python for Astronomers - Imad Pasha, Christopher Agostino (PDF)
- Python for Data Analysis - Wes McKinney
- Python for Everybody - Charles Russell Severance (PDF, EPUB, HTML) (3.x)
- Python for Informatics: Exploring Information - Charles Russell Severance (2.7.5)
- Python for network engineers - Natasha Samoylenko
- Python for you and me (2.7.3)
- Python for you and me (3.x)
- Python Idioms (PDF)
- Python in Education - Nicholas Tollervey
- Python in Hydrology - Sat Kumar Tomer
- Python Koans (2.7 or 3.x)
- Python Machine Learning By Example - Yuxi (Hayden) Liu (Packt account required)
- Python Module of the Week (3.x)
- Python Notes for Professionals - Compiled from StackOverflow documentation (PDF)
- Python Practice Book (2.7.1)
- Python Programming - Wikibooks (2.7)
- Python Programming - Wikibooks (PDF) (2.6)
- Python Programming And Numerical Methods: A Guide For Engineers And Scientists - Qingkai Kong, Timmy Siauw, Alexandre Bayen (3.7)
- Python Programming Exercises, Gently Explained - Al Sweigart (PDF)
- Python Tutorial - Tutorials Point (HTML, PDF)
- Research Software Engineering with Python - Damien Irving, Kate Hertweck, Luke Johnston, Joel Ostblom, Charlotte Wickham, Greg Wilson (HTML)
- Scientific Visualization: Python + Matplotlib - Nicolas P. Rougier (PDF)
- Scipy Lecture Notes
- SICP in Python (3.2)
- Slither into Python: An introduction to Python for beginners (3.7) (:card_file_box: archived)
- Software Design by Example: A Tool-Based Introduction with Python - Greg Wilson (HTML)
- Supporting Python 3: An In-Depth Guide (2.6 - 2.x & 3.1 - 3.x)
- Test-Driven Web Development with Python: Obey the Testing Goat! using Django, Selenium and JavaScript - Harry J.W. Percival (HTML) (3.3 - 3.x)
- Text Processing in Python - David Mertz (2.3 - 2.x)
- The Big Book of Small Python Projects - Al Sweigart
- The Coder's Apprentice: Learning Programming with Python 3 - Pieter Spronck (PDF) (3.x)
- The Definitive Guide to Jython, Python for the Java Platform - Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (2.5)
- The Hitchhiker's Guide to Python: Best Practices for Development - Kenneth Reitz, Tanya Schlusser, et al
- The Little Book of Python Anti-Patterns (Source)
- The Programming Historian - William J. Turkel, Adam Crymble and Alan MacEachern
- The Python Coding Book - Stephen Gruppetta (HTML)
- The Python GTK+ 3 Tutorial
- The Python Handbook - Flavio Copes (PDF, EPUB, Kindle) (email address requested)
- The Recursive Book of Recursion - Al Swigart (HTML) (3.x)
- The Standard Python Library - Fredrik Lundh (:card_file_box: archived)
- Think Complexity - Allen B. Downey (2nd Edition) (PDF, HTML)
- Think DSP - Digital Signal Processing in Python - Allen B. Downey (PDF, HTML)
- Think Python 2nd Edition - Allen B. Downey (3.x) (HTML, PDF) (CC BY-NC)
- Think Python First Edition - Allen B. Downey (2.x) (HTML, PDF) (CC BY-NC)
- Tiny Python 3.6 Notebook - Matt Harrison (3.6)
- Tiny Python Projects - Ken Youens-Clark(PDF)🐍
- Web2py: Complete Reference Manual, 6th Edition (pre-release) (2.5 - 2.x)
- All-Auth (HTML)
- AutoComplete-Light (HTML)
- Django Filters (HTML)
- Django Girls Tutorial (1.11)
- Django Official Documentation (PDF) (1.5)
- Django Official Documentation (PDF) (1.7)
- Django Official Documentation (PDF) (1.9)
- Django Official Documentation (PDF) (1.10)
- Django Official Documentation (PDF) (2.2)
- Django Official Documentation (PDF) (3.1)
- Django Official Documentation (PDF) (3.2)
- Django Official Documentation (PDF) (4.1)
- Django Official Documentation (PDF) (4.0)
- Django Rest Framework - Compiled from StackOverflow Documentation (PDF)
- Django RESTful Web Services - Gaston C. Hillar (Packt account required)
- Django Storages (HTML)
- Django Tinymce (HTML)
- Django Web Framework (Python) - MDN contributors
- Djen of Django
- Effective Django (1.5) (:card_file_box: archived)
- How to Tango With Django (1.7)
- Social Auth App (HTML)
- Test-Driven Development With Python And Django (1.11)
- Explore Flask - Robert Picard
- Flask Documentation - Pallets
- Python Flask Tutorial - Tutorials Point (HTML, PDF)
- The Flask Mega-Tutorial - Miguel Grinberg (0.9)
- From Python to NumPy - Nicolas P. Rougier (HTML) (3.6)
- Guide to NumPY 2010 - Travis E. Oliphant (PDF).
- NumPy user guide - NumPY developers (HTML).
- Best Pandas Tutorial | Learn with 50 Examples - Ekta Aggarwal (HTML)
- Learn Pandas - Hernan Rojas (0.18.1)
- pandas: powerful Python data analysis toolkit - Wes McKinney, the Pandas Development Team (HTML, PDF)
- Programming GPUs with Python: PyOpenCL and PyCUDA - Jan Verschelde, University of Illinois Chicago (HTML)
- PyOpenCl Documentation - Andreas Kloeckner (HTML)
Disclaimer: This is not the definitive guide but one way to Learn Python.