The very, very first thing I did was have a look through Automate the Boring Stuff With Python. Dead simple basics that teach you fundamentals of how Python works and simple things you can do with it. Once you kind of know what you are doing, then you can start asking AI to pose simple problems for you to solve. Then you basically have an unlimited question bank + a coding buddy who can help you to debug and easily identify common errors like syntax or logic issues. Just don't ask it to write the code for you. More on reddit.com

Never heard of it. It would be easier to get opinions on it if you provide the link. More on reddit.com

Github isn't meant to be a portfolio of your work, but it's usually used like one. Github is a public server to host git repositories. (Gitlab is another one) It will give you a cloud backup of your code that you'll be able to access from anywhere as long as you have git in your hand. Beware of its policy thought, your code might be used to train AI or be forked by other people, and it will be public, so don't host private or sensitive data on it. Git is a distributed version control system. It allows you to tag versions of your code and organize team work on a source code. It's not the only tool to do that, but it's the most widely spread in the development industry. (Using github or the likes will also show recruiters that you have a bit of knowledge with git). Frequent commits will gives you the opportunity to revert your code if you made changes you don't want anymore. It was built for code, but it can be used with any text files. Binary files are usually badly supported. I suggest you do not put .pyc, .pyw or databases in git. I suggest you push everything, as often as possible even if it's a work in progress and use tag to identify versions of your code. Don't be afraid to contribute to other open source project if you want to. I don't know how useful the activity chart is used by recruiters though. You shouldn't give attention to it IMO. More on reddit.com

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