Coders Learning

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🏏 Join the Coding World Cup challenge now! Test your coding skills and cricket knowledge. 📆 Starts: 5th Oct, 2023 🏆 Prizes: Logitech MX Series products 🚀 How to participate: 1. Solve daily coding and cricket trivia on : https://bit.ly/3rV7dIM 2. Share solutions on LinkedIn with #CodingWorldCup & #CodingNinjas 3. Climb the leaderboard to become the CN Coding World Cup champ!

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Websites and platforms where you can practice Python projects, do hands-on coding, and gain valuable experience 1. w3schools (https://www.w3schools.com/python): Offers interactive Python courses and coding exercises. Great for beginners. 2. Learn Python (https://learnpython.org/): Good resource for beginners 3. Freecodecamp (https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course): Offers Python courses, including those from top universities. You can earn certificates upon completion. 4. Hackerrank (https://www.hackerrank.com/domains/tutorials/10-days-of-python): Offers Python tutorials and coding challenges to practice your skills. 5. Google (https://developers.google.com/edu/python): Free resource to learn python from Google. 6. Project Euler (https://projecteuler.net/): Provides mathematical and computational problems that can be solved with Python. Great for honing your programming skills. 7. Python.org (https://docs.python.org/3/tutorial/index.html): The official Python website has a tutorial section that includes exercises and examples to practice Python concepts. 8. GitHub (https://github.com/): Explore Python repositories, contribute to open-source projects, or start your own Python project to build a portfolio. 9. Kaggle (https://www.kaggle.com/): Offers Python datasets, competitions, and notebooks for data science and machine learning projects. 10. Udemy (https://bit.ly/45q7pxh): Amazing course to master Python in 100 days with coding challenges with certificate. Learn data science, automation, build websites, games and apps! 11. Real Python (https://realpython.com/): Offers tutorials and articles on various Python topics, including practical projects. Remember that practice is key to mastering Python. Choose projects and exercises that align with your interests and goals, and don't hesitate to explore multiple platforms to diversify your learning experience.

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