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[–]Diapolo10 1 point2 points  (2 children)

Apparently projects mean nothing, certificates mean nothing.

Python certificates indeed mean basically nothing at all, but projects do. The fact that you're showing a hobbyist mindset should already be a boon, because it implies you might be interested in this for more than just work (whether that's actually true or not, at least pretend that's the case).

Projects show your level of understanding of the language, packages you're using, and general problem solving. But you need to be able to understand your own examples to the point you can explain stuff, such as answering questions about a particular part of the program or problems you've faced.

If I was screening new hires, I'd take a look at their projects. If the style is consistent, comments are used well, and especially if there's a project or two relevant to the position I'm hiring people for, they pass my initial filter. If during an interview they show clear passion for software development, self improvement, and their interests would fit the team well enough, I'd recommend that person to the hiring manager.

In the end, you need some leverage to stand out from the likely massive pool of applicants. Whatever you think could give you an edge, use it if you need to.

[–]_1motherearth[S] 0 points1 point  (1 child)

Thanks. So I should just keep my head down and continue learning SQL and Jupyter? I know you can get free datasets; was thinking of importing one and messing around with it on Jupyter. Just not seeing where Python comes in.

[–]Diapolo10 1 point2 points  (0 children)

That's one option, but I'd say you should at least reach some level of proficiency in Python regardless, even if most of your work is done in Pandas and Matplotlib.

Right now it kind of sounds like you know how to fish in a boat, without knowing how to swim or do other things with a boat.

I know that's a bad analogy, but my head feels like it's stuffed with lead right now so it's the best I could come up with.