and yet they're useful for improving your thought processes and being able to do stuff in code that isn't 're-inventing the wheel'.
In a workplace, sure you go and find code that does what you want that is available for use so you don't re-invent solutions that others have already come up with and done the work on, but only because it's quicker than just writing it yourself.
When you're trying to improve your knowledge base though, be it learning a new language or doing stuff you haven't done before, one of the best ways is to do these sort of exercises, and reading how others do them.
But if we're just too beginner level coders, maybe you should educate us with your solutions to them so those trying to learn something can.
Or provide some kind of description about how numpy's solution works and why it's a good way of doing things even rather than just running down reggaemuffin's initiative that clearly says it will have some easy and some hard challenges.
Or you could run your own challenges if you think these are too academic and not real world enough
https://github.com/numpy/numpy/blob/master/numpy/polynomial/polynomial.py
Ok, you proved your googling skills, but... can you code?
I already told my opinion on this kind of challenge. its unnecessary intellectual masturbation and its like reinventing the wheel for what?
and yet they're useful for improving your thought processes and being able to do stuff in code that isn't 're-inventing the wheel'.
In a workplace, sure you go and find code that does what you want that is available for use so you don't re-invent solutions that others have already come up with and done the work on, but only because it's quicker than just writing it yourself.
When you're trying to improve your knowledge base though, be it learning a new language or doing stuff you haven't done before, one of the best ways is to do these sort of exercises, and reading how others do them.
But if we're just too beginner level coders, maybe you should educate us with your solutions to them so those trying to learn something can.
Or provide some kind of description about how numpy's solution works and why it's a good way of doing things even rather than just running down reggaemuffin's initiative that clearly says it will have some easy and some hard challenges.
Or you could run your own challenges if you think these are too academic and not real world enough
Thank you! Exactly what was on my mind, have a tip!
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What about fun? Also from time to time new ways to do things can be found. Even the wheel gets reinvented.
However, I would also like to see some more applicable real world stuff. I get your point.
Why don't you suggest a real world challenge? Open for suggestions what to do next so if you have a certain direction you want to go to, tell me.
Ah, so
import polynomial
lol