According to you, what are the most important things I need/have to learn to become an experimented Python developer working on the machine learning field? I just started to learn the basics of Python and I already know my goal. I know that it's just the beginning of a long journey but I'm wondering if there is a deconstructed list of skills I need to learn to reach my goal. Starting from zero, what would recommend to learn after I get the basics of Python? I would really appreciate if you could list these subjects (anything you consider essential) so I can focus my energy/time to learn that skill when the time comes. Thank you very much!
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Top comments (5)
Hi Sergio,
while I'm getting into Web Development, I did some research on Machine Learning/Data Science for a while (the math/statistics is not for me at this point). My suggestion, if you haven't checked already, is to take a look at some Reference Cards at: dzone.com/refcardz . They cover a lot of subjects related to Development, Machine Learning included. While this isn't a solid knowledge base, it helps a lot getting an overview on some subject. Keep going strong!
Muito obrigado! This is a great resource, and I didn't know about it... Once again, thank you!
I would recommend taking a look at an overview of algorithms and data structures (here's a post about it from a data science perspective) - a lot of resources for learning the basics of a programming language skip over some of the conceptual stuff that's helpful no matter what language you're working in.
Thank you very much!
Thank you very much for your feedback. I know I should learn as many things as I can but unfortunately, I have no interest for games nor web development... To be honest, and due to my age (41), I just prefer to focus my time and energy to learn about to what I'd like to become. I will check those links anyway... Once again, thank you very much!