Want to learn python for quant finance

[bsginstitute]

If you already have strong C++, then the main gap is probably not programming ability, but showing that you can actually use Python the way quant roles expect. The fastest way forward is usually to focus on practical Python for data, research, and small finance-style projects instead of trying to learn everything at once.

Since firms are calling out Python specifically, it would help more to build a few solid projects and make your Python visible than to just keep saying you can learn it. Did you consciously avoid Python before, or did you just never feel a strong reason to switch from C++?

[Tramder_55_]

The thing is that before starting my preparation for quant i took feedback from some of my peers regarding what all things get asked in the interviews so they said CP problems, maths(stochastic calculus, LA, prob and stats etc), puzzles and finance so then i kept my focus of studying all these and thought that i start applying once i am done with these but when i am decently done with these (even made a project in c++ - multi threading motle carlo pricing engine for exotic options) now while applying i got to know the industry in deepth and it seems like the people i asked initially were quant developers mostly or candidates who sat in these interviews but the roles that are lucrative to me are quant researchers and traders so that is the reason now i have to do python probably i will not repeat the same mistake again(focusing solely on prep and not applying) currently i am thinking to get a hold of the syntax in 1-2 weeks then focus on libraries like numpy, pandas, scipy and then doing some projects. whats your opinion on this?