I'm just starting to learn Python, but I know from learning other programming languages that writing numerous programs in the new programming language cements how to use the new language in my mind. Here are quite a few free Python coding challenges for Python students at the beginning, intermediate, and advanced levels: https://www.101computing.net/category/python-beginner/ https://www.101computing.net/python-challenges-intermediate-level/ https://www.101computing.net/category/python-advanced/ 300 solutions are available if you need help programming in Python, HTML/CSS/JavaScript, LMC, SQL, etc., but that requires registering as a member for £35 per year (about US$45 at today's exchange rates). If I truly got stuck, I would probably just post a question on Stackoverflow.com or else choose another programming challenge. Here is the list of solved challenges for members: https://www.101computing.net/solved-challenges/

I strongly recommend the courses from DeepLearning.AI, I find them very useful and easy to follow 😄https://www.deeplearning.ai/courses/

Been checking this out and it looks interesting. Anything negative about this tool?

OpenAI has some really nice APIs, but you have to pay for their service. It's the easy way. But, I wanted to run LLMs locally on my laptop. That way, I had much more control and could write code to learn more about how to make thing work. Here's how I did it. 1. Download and install Ollama, https://ollama.ai/ It runs on Mac (ARM, M1, M2, etc.) or Linux. Not Windows yet, but WSL should work. 2. Check out the models they have, https://ollama.ai/library 3. I've had good luck with the mistral model. Go to your command line and type ollama run mistral. There you go. Right on your laptop—your own LLM experience. There's a lot more I could add. If this is interesting, please send me a Like and ask your questions.

I've recently completed Machine Learning fitness tracker in Data Science section. @Dave Ebbelaar had done an extraordinary work by doing this practice and for my part I feel like I owe him. Any one who is focusing on Machine Learning and Data Analysis must do this. This practice gives a lot of information to load data, clean data, analyze and find anomalies with using different functions, plotting these data and rebuilding it. Edit: forgot to share link. https://www.skool.com/data-alchemy/classroom/ef18605f?md=c3ac79613a914d64ada917374251ffe5