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Hey Rémi, thanks for giving time to read this. Blogging
Coding
Career
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That's a very good question! I don't have anyone in mind, but a good start would be to look at the top contributors and currently most active contributors to libraries you like and look them up. Reading experts' blogs and making up your own mind about how to get there is probably the best advice there is; advice for beginners is often written by slightly-less-beginners who still have a lot to figure out.
Can't escape Python these days. I'd start with learning that language very well. For ML I heavily recommend Patrick Murphy's "Probabilistic Machine Learning", by far my favorite entry-level and intermediate book out there. It will give you a high-level overview and you can explore from there.
Give people proof that you can code, get your name out there and the best way to do this is to contribute to open source, blog, and show the result of your work. People will notice eventually, and enough code out there will allow you to skip the leetcode interview in reasonable places. When I evaluate someone's open source contributions I look at 3 things:
Those are 3 skills you can learn, but beginners often make the mistake of believing (1) is enough. It's not. |
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That's a very good question! I don't have anyone in mind, but a good start would be to look at the top contributors and currently most active contributors to libraries you like and look them up. Reading experts' blogs and making up your own mind about how to get there is probably the best advice there is; advice for beginners is often written by slightly-less-beginners who still have a lot to figure out.
Can't escape Python these days. I'd start wit…