I'm eager to understand how people gets good artists in problem solving. Visual and lingvistic embodiments of mathematical objects are what matters me a lot.
Becoming a qualified Data Analyst is my goal number one at the moment. That's why I constantly document the most essential tricks of Python libraries:
Check out my gotchas:
- Visual embodiments applied in explanation of concept of numpy axis, like this or this
- 2.5x speedup of itertools.combinations()
- How to speed up
np.array(<iterable>)up to 4 times?
- A simple way to speed up aritmetics of arrays even more
- what happens when we try to optimize data with unbalanced types?
- vectorised way to create a graph with an image's pixel
- C-level based way to find connected components using Python
- How to vectorise iteration of consecutive sublists in 1D arrays or 2D arrays
- how to efficiently replace nonzero elements?
- splitting groups vs summing groups
- application of single search/binary search in both Python and C levels