TLWI Python #42

👋 Hey there and welcome to this week's newsletter! We've got some amazing links for you today, so grab a cuppa and get comfortable.

First up, if you're interested in coding, you won't want to miss Day 5 of the Python Pro Bootcamp. This bootcamp is for anyone who wants to learn how to code using Python, no matter your skill level. Each day offers a new opportunity to test your coding knowledge and learn new skills. Don't miss out!

Next, we've got an impressive book recommendation for all you math lovers out there. The book 数学要素, also known as the Iris Book, is a comprehensive guide to all things math, including everything from basic arithmetic to machine learning. With over 583 illustrations and 136 code files, this book is your ultimate guide to mathematics. And with 24 Streamlit Apps, you'll be able to put your knowledge to the test. Trust us, this is a book you won't want to miss.

If you're looking to download your favorite TikTok videos without watermarks, we've got just the thing for you. Check out this nifty tool that lets you download TikTok videos in bulk, including videos from users' profiles, liked videos, text and audio files. With 抖音去水印批量下载用户主页作品、喜欢、图文、音频, you'll be able to have a library of your favorite TikToks in no time. It's perfect for those who want to save their favorite memes and viral videos.

Want to continue learning but are low on budget? Take a look at these 49 Free Online Courses currently available. They cover a wide range of topics, from writing to design, computer science and more. With so many options available, there's something for everyone. Just be sure to sign up fast, as these courses may not be available for long.

Lastly, we've got a fantastic link that combines machine learning and database management. In-Database Machine Learning is a technology that allows machine learning models to be trained and deployed within the database itself. This makes it easier to work with large data sets and creates a more efficient workflow. It's an exciting new technology that has the potential to transform the way we do machine learning.

That's it for this week's newsletter. We hope you've enjoyed our selection of links and found something that interests you. Until next time, happy learning!


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The Last Week In Python is a weekly roundup for all things Python! Follow me on Twitter for more projects @dennisokeeffe92.

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