legobridge

I'm looking for resources that could help me write better, more professional code in Python.

I've worked extensively as a software developer in Java before, so I am aware of the many things that go into writing "real" code (as opposed to what one writes for Leetcode or even an academic project), from little things like using the right annotations, to bigger ones like dependency injection frameworks.

I've used Python for Leetcode, scripting, isolated ML work, writing little games, etc., and I've read and practiced much of PEP8, so it's not that I write bad Python code. But I do feel that I could be doing so much better (since I've done better in Java) and I'd like to get to that level of proficiency as soon as I can.

In that vein, I'm looking for any resources that have worked for any of you and you think would be suited for me. Thanks!

I'm still pretty early in my career, which I started as a software developer. I transitioned into a data scientist role about a year ago, then moved to the USA for a Master's degree in AI/DS.

Here I'm seeing a trend of software developers being paid better than data scientists in general, and I was wondering if I've made a mistake transitioning away from software development. The number of opportunities also seem to be dwindling (or maybe I'm not looking well enough, please feel free to correct me).

My question is this: Did all the talk of data science being the "sexiest" job cause the market to become saturated, or is it still a viable career path?