🔺The best GitHub repositories for learning Python ✅Learn Python for Data Science in 2024
👨🏻💻 In the latest data science report 2024 , Python is still the top programming language for data science with 56.7% . Here I have put a list of the best Python repositories for data science , which will improve your coding skills and guide you on the path to data science mastery.💯
1️⃣Learn Python 3 repo 🖥 A collection of Jupyter notebooks for learning Python. 🐱GitHub repo link
2️⃣The Algorithms repo 🖥 All algorithms implemented in Python for training. 🐱GitHub repo link
3️⃣Awesome Python repo 🖥 A list of great Python frameworks, libraries, software, and resources. 🐱GitHub repo link
4️⃣100 Days of ML repo 🖥 Learning algorithms and building neural networks without any programming experience. 🐱GitHub repo link
5️⃣Cosmic Python book repo 🖥 A book on Python's functional architectural patterns for managing complexity. 🐱GitHub repo link
6️⃣A Byte of Python book repo 🖥 If you do not learn Python programming, start with this book. 🐱GitHub repo link
7️⃣Python Machine Learning book repo 🖥 Python Machine Learning book code repository. 🐱GitHub repo link
8️⃣Repo of interactive interview challenges 🖥 120+ interactive Python coding interview challenges. 🐱GitHub repo link
9️⃣Repo of coding problems 🖥 Solutions for various coding/algorithmic problems. 🐱GitHub repo link
1️⃣Python Basics repo 🖥 A list of 300 Python interview questions + answer sheet. 🐱GitHub repo link
🔺The best GitHub repositories for learning Python ✅Learn Python for Data Science in 2024
👨🏻💻 In the latest data science report 2024 , Python is still the top programming language for data science with 56.7% . Here I have put a list of the best Python repositories for data science , which will improve your coding skills and guide you on the path to data science mastery.💯
1️⃣Learn Python 3 repo 🖥 A collection of Jupyter notebooks for learning Python. 🐱GitHub repo link
2️⃣The Algorithms repo 🖥 All algorithms implemented in Python for training. 🐱GitHub repo link
3️⃣Awesome Python repo 🖥 A list of great Python frameworks, libraries, software, and resources. 🐱GitHub repo link
4️⃣100 Days of ML repo 🖥 Learning algorithms and building neural networks without any programming experience. 🐱GitHub repo link
5️⃣Cosmic Python book repo 🖥 A book on Python's functional architectural patterns for managing complexity. 🐱GitHub repo link
6️⃣A Byte of Python book repo 🖥 If you do not learn Python programming, start with this book. 🐱GitHub repo link
7️⃣Python Machine Learning book repo 🖥 Python Machine Learning book code repository. 🐱GitHub repo link
8️⃣Repo of interactive interview challenges 🖥 120+ interactive Python coding interview challenges. 🐱GitHub repo link
9️⃣Repo of coding problems 🖥 Solutions for various coding/algorithmic problems. 🐱GitHub repo link
1️⃣Python Basics repo 🖥 A list of 300 Python interview questions + answer sheet. 🐱GitHub repo link
Secure video calling is in high demand. As an alternative to Zoom, many people are using end-to-end encrypted apps such as WhatsApp, FaceTime or Signal to speak to friends and family face-to-face since coronavirus lockdowns started to take place across the world. There’s another option—secure communications app Telegram just added video calling to its feature set, available on both iOS and Android. The new feature is also super secure—like Signal and WhatsApp and unlike Zoom (yet), video calls will be end-to-end encrypted.
China’s stock markets are some of the largest in the world, with total market capitalization reaching RMB 79 trillion (US$12.2 trillion) in 2020. China’s stock markets are seen as a crucial tool for driving economic growth, in particular for financing the country’s rapidly growing high-tech sectors.Although traditionally closed off to overseas investors, China’s financial markets have gradually been loosening restrictions over the past couple of decades. At the same time, reforms have sought to make it easier for Chinese companies to list on onshore stock exchanges, and new programs have been launched in attempts to lure some of China’s most coveted overseas-listed companies back to the country.
