Python
Machine Learning, Tutorials, Framework/Libraries, Gaming, YouTube Channels

Machine Learning
Python is highly used in Machine Learning and AI! Luckily, You can master Python from the top companies and Universities. In this thread, I will share top courses from IBM, Google and Harvard Universities. 1. Python for Everybody Specialization. 🔗 https://lnkd.in/gtHCd8T3 2. Crash Course on Python 🔗 https://lnkd.in/gm_zfb9v 3. Get Started with Python 🔗 https://lnkd.in/gvzqZ68A 4. Python for Data Science, AI & Development 🔗 https://lnkd.in/gsqe-yXm 5. Google Data Analytics 🔗 https://lnkd.in/gGBT85aY 6. Google Advanced Data Analytics 🔗 https://lnkd.in/gYUgss4t 7. IBM Data Science Professional Certificate. 🔗 https://lnkd.in/guauXXWu 8. IBM Data Warehouse Engineer Professional Certificate. 🔗 https://lnkd.in/gTkHfX2j 9. IBM Cybersecurity Analyst Professional Certificate. 🔗 https://lnkd.in/gwQR_uaP 10. IBM AI Engineering Professional Certificate. 🔗 https://lnkd.in/gsAM-k_C 11. IBM DevOps and Software Engineering Professional Certificate. 🔗 https://lnkd.in/gvdV8D-k 

 12. https://kuleshov-group.github.io/aml-website/ 

 https://kuleshov-group.github.io/aml-book/intro.html 

 🟧Download Complete Pdf👇 https://lnkd.in/dvqSezAA

Tutorials
1. Python for Everybody Specialization. 🔗 https://lnkd.in/dcEYyc-C 

 2. Crash Course on Python 🔗 https://lnkd.in/dpBa3Qi8 

 3. Get Started with Python 🔗 https://lnkd.in/dHA-VMMu 

 4. Python for Data Science, AI & Development 🔗 https://lnkd.in/dbZt2ApU 

 5. Google Data Analytics 🔗 https://lnkd.in/duwZfSYu 

 6. Google Advanced Data Analytics 🔗 https://lnkd.in/dH_FHG5C 

 7. IBM Data Science Professional Certificate. 🔗 https://lnkd.in/dcPBi96p 

 8. IBM Data Warehouse Engineer Professional Certificate. 🔗 https://lnkd.in/dwy38Z7H 

 9. IBM Cybersecurity Analyst Professional Certificate. 🔗 https://lnkd.in/dcRkk8FJ 

 10. IBM AI Engineering Professional Certificate. 🔗 https://lnkd.in/dCfJKf8u 

 11. IBM DevOps and Software Engineering Professional Certificate. 🔗 https://lnkd.in/dHx5ET4e

Libraries/Frameworks
🐍 Top Python Libraries and Frameworks across various domains 📚 🔹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 1. NumPy: Powerful numerical computations and array operations. 2. PyTorch: Deep learning framework for research and production. 3. TensorFlow: Widely used for machine learning and neural networks. 4. Theano: Efficient computation of mathematical expressions. 5. Pandas: Data manipulation and analysis in Python. 6. Keras: High-level neural networks API. 7. Scikit-Learn: Simple and efficient machine learning tools. 8. Matplotlib: Comprehensive plotting library for visualizations. 9. SciPy: Scientific and technical computing. 10. Polars: High-performance data manipulation and analysis. 🔹 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 1. Django: Full-featured web framework for building web applications. 2. Web2Py: Easy-to-use web framework for rapid development. 3. TurboGears: A modular and flexible web development framework. 4. CubicWeb: Semantic web application framework. 5. Dash: Analytical web applications made simple. 6. Falcon: High-performance web API framework. 7. Flask: Lightweight and versatile web framework. 8. Bottle: Fast, simple, and lightweight WSGI micro web-framework. 9. CherryPy: Object-oriented web framework. 10. Pyramid: Flexible and modular web framework. 11. FastAPI: Modern, fast (high-performance), web framework for building APIs. 🔹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: 1. PyUnit: Unit testing framework. 2. Behave: Behavior-driven development (BDD) framework. 3. Robot: Highly extensible test automation framework. 4. Splinter: Open-source tool for testing web applications. 5. Pytest: Simple and scalable testing framework. 🔹 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: 1. Scikit-Image: Image processing library based on SciPy. 2. OpenCV: Computer vision and machine learning library. 3. Mahotas: Computer vision algorithms library. 4. Pgmagick: Python binding for GraphicsMagick. 5. SimpleITK: Simplified layer built on top of the Insight Segmentation and Registration Toolkit. 🔹 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 1. Panda3D: 3D game engine and framework. 2. PyGame: Set of Python modules for game development. 3. PyOpenGL: Python bindings to OpenGL. 4. PyGlet: Cross-platform windowing and multimedia library. 5. Arcade: Easy-to-learn game development library. 🔹 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: 1. lxml: Fast and flexible library for parsing XML and HTML. 2. Requests: HTTP library for making requests. 3. Selenium: Web testing framework for browser automation. 4. Scrapy: Fast and powerful web crawling framework. 5. Beautiful Soup: Library for web scraping HTML and XML files.

Gaming
1. Python for Everybody Specialization. 🔗 https://lnkd.in/dcEYyc-C 2. Crash Course on Python 🔗 https://lnkd.in/dpBa3Qi8 3. Get Started with Python 🔗 https://lnkd.in/dHA-VMMu 4. Python for Data Science, AI & Development 🔗 https://lnkd.in/dbZt2ApU 5. Google Data Analytics 🔗 https://lnkd.in/duwZfSYu 6. Google Advanced Data Analytics 🔗 https://lnkd.in/dH_FHG5C 7. IBM Data Science Professional Certificate. 🔗 https://lnkd.in/dcPBi96p 8. IBM Data Warehouse Engineer Professional Certificate. 🔗 https://lnkd.in/dwy38Z7H 9. IBM Cybersecurity Analyst Professional Certificate. 🔗 https://lnkd.in/dcRkk8FJ 10. IBM AI Engineering Professional Certificate. 🔗 https://lnkd.in/dCfJKf8u 11. IBM DevOps and Software Engineering Professional Certificate. 🔗 https://lnkd.in/dHx5ET4e

More Python
BM, Google and Harvard Universities. 1. Python for Everybody Specialization. 🔗 https://lnkd.in/dcEYyc-C 2. Crash Course on Python 🔗 https://lnkd.in/dpBa3Qi8 3. Get Started with Python 🔗 https://lnkd.in/dHA-VMMu 4. Python for Data Science, AI & Development 🔗 https://lnkd.in/dbZt2ApU 5. Google Data Analytics 🔗 https://lnkd.in/duwZfSYu 6. Google Advanced Data Analytics 🔗 https://lnkd.in/dH_FHG5C 7. IBM Data Science Professional Certificate. 🔗 https://lnkd.in/dcPBi96p 8. IBM Data Warehouse Engineer Professional Certificate. 🔗 https://lnkd.in/dwy38Z7H 9. IBM Cybersecurity Analyst Professional Certificate. 🔗 https://lnkd.in/dcRkk8FJ 10. IBM AI Engineering Professional Certificate. 🔗 https://lnkd.in/dCfJKf8u 11. IBM DevOps and Software Engineering Professional Certificate. 🔗 https://lnkd.in/dHx5ET4e 📕Download Complete Pdf👇 https://t.me/CodeNoteBook

YouTube
✅Corey Schafer Arguably the best python channel on YouTube I have personally learned a lot from him ✅Python Programmer Giles McMullen-Klein shares tutorials on python and working with data. You can also find learning resources along with reviews of python/ data science courses ✅Reuven Lerner Reuven brings his 27 years of teaching over to you on this channel. ✅Python Engineer Another great channel for those interested in Python, Machine Learning, Computer Vision, and Data Science. ✅Mouse Vs Python Here at Mouse Vs Python, you will learn about Python through beginner, intermediate and advanced tutorials. ✅Real Python There isn't a python concept that you won't find on realpython's channel and blog. Dan Bader 's channel helps Python developers take their coding skills and productivity to the next level ✅CS Dojo Python or otherwise, everyone interested in programming and computer science must follow YK's channel

Learning Roadmap
1️⃣ Start with Basics (Learn variables, data types, and basic math operations) 2️⃣ Control Flow (Understand how to use if-else statements and loops (for, while)) 3️⃣ Work with Data (Learn lists and dictionaries to store and manipulate data) 4️⃣ Write Functions (Create functions to reuse code and organize tasks) 5️⃣ File Handling (Practice reading and writing files) 6️⃣ Practice Projects (Build simple projects like a calculator or to-do list) 7️⃣ Learn OOP Basics (Understand classes and objects) 8️⃣ Use Libraries (Try using popular libraries like requests or pandas) 9️⃣ Build Small Projects (Create simple apps like a weather checker or number guessing game) Python learning resources links: 1. Python https://lnkd.in/gGdAnHmf 2. Codecademy https://lnkd.in/ecs6tE-S 3. W3Schools.com https://lnkd.in/eJgPfMn3 4. 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒆 𝒕𝒉𝒆 𝑩𝒐𝒓𝒊𝒏𝒈 𝑺𝒕𝒖𝒇𝒇 𝒘𝒊𝒕𝒉 𝑷𝒚𝒕𝒉𝒐𝒏 https://lnkd.in/exgV78ZP 5. Real Python https://realpython.com/ 6. Google https://lnkd.in/gNnBtVKZ 7. 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗿𝗮𝘀𝗵 𝗖𝗼𝘂𝗿𝘀𝗲 https://lnkd.in/g8RZngwJ 8. freeCodeCamp :D https://lnkd.in/gbCRVWYJ 9. DataCamp https://lnkd.in/gQh2z5ev 10. Sololearn https://lnkd.in/gT_qJJc7 11. edX https://lnkd.in/gkUdUqWN 12. Microsoft https://lnkd.in/gyKZfr9j 13. 𝑭𝒖𝒍𝒍 𝒔𝒕𝒂𝒄𝒌 𝒑𝒚𝒕𝒉𝒐𝒏 https://lnkd.in/gqkPz4y3 14. LearnPython.com https://lnkd.in/gd9XV7Kt 15. Coursera https://lnkd.in/gEuwuwGf 16. CS50 - Harvard University (Introduction to Programming with Python) https://lnkd.in/gPpD3VAK 17. 𝑷𝒚𝒕𝒉𝒐𝒏 𝑴𝒐𝒓𝒔𝒆𝒍𝒔 https://lnkd.in/gJ85uHAt 18. JetBrains (Python Educational Material) https://lnkd.in/gCewJ23K 19. GeeksforGeeks https://lnkd.in/gmDx9Smi 20. Kaggle (Python Course) https://lnkd.in/eA2gm6PG

Python Ecosystem
Python is not just a programming language it's a powerful ecosystem that connects multiple domains of technology. From data analysis to Al agents, mastering Python and its libraries opens doors to innovation, automation, and smarter solutions. Here are just a few areas where Python shines: Data Analysis & Visualization → Pandas, Matplotlib ◆ Machine Learning & Deep Learning → Scikit-learn, TensorFlow, PyTorch Web Development → Flask, Django ◆ Big Data & Workflow Automation → PySpark, Apache Airflow Scientific Computing & Cloud → NumPy, Boto3 Al & Emerging Tech → LangChain, Streamlit The beauty of Python lies in its versatility - whether you're building web apps, designing data pipelines, automating cloud workflows, or experimenting with Al models, Python has a library for everything. ✨️In today's fast-changing world, staying updated with these core Python skills is more than just an advantage it's a necessity for developers, data enthusiasts, and tech innovators.