There are many ways to do it, so choose the one that suits you best.
--You can read through an easy-to-understand introductory site on the Web. ――If you don't understand at all, there is no loss in buying one book --Recently, there are videos. If you can watch English videos, the range will be even wider.
In any case, you don't have to spend a lot of time, just __ get the big picture __. It's easier to learn the details __ when you actually write the code. Especially if you have a purpose. After that, it is even better if there is a person who can hear immediately when __ stumbling. If you have such __predecessors, listen to their recommendations __.
If you're used to it, you can just watch this summary http://qiita.com/rohinomiya/items/aab6b16d1a470871713c
There was also such a thing http://stat.biopapyrus.net/python/
The programming contest is deep when you do it seriously, but it's not the case now, so don't overdo it. It is good if you can acquire the basic grammar and be able to think about the code with your own head to some extent.
To be able to solve beginner-intermediate problems on sites like the ones below. http://kenkoooo.com/atcoder/ https://paiza.jp/challenges/ http://odz.sakura.ne.jp/projecteuler/
I don't think it's a loss to go through the basics of jupyter, matplotlib, numpy, scipy, and pandas. You won't necessarily use all of them, and you may use others, so you should ask your predecessors about __selection __.
One of the most recommended books is O'Reilly's book. Please note that some books (not limited to books) have old information (there is a problem with the Python version, etc.). https://www.amazon.co.jp/dp/4873117488 https://www.amazon.co.jp/dp/4873116554
There will be a lot more expertise than this, so I have no choice but to ask __seniors in the company / laboratory. __ There is a theory that it should have been done from the beginning before reading such a thing in the first place. __
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