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NumPy Exercises

Simple but useful NumPy exercises

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In numerical computing in python, NumPy is essential. I've been writing simple (a few lines for each problem) but hopefully helpful exercises based on each of numpy's functions. The outline is as follows. Array creation routines (DONE) Array manipulation routines (DONE) String operations (DONE) Numpy-specific help functions (DONE) Indexing routines (WIP) Input and output (DONE) Linear algebra (numpy.linalg) (DONE) Logic functions (DONE) Mathematical functions (DONE) Random sampling (numpy.random) (DONE) Set routines (DONE) Sorting, searching, and counting (DONE) Statistics (DONE)

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Kyubyong Park

Kyubyong Park

AI researcher. Studied Linguistics at SNU and Univ. of Hawaii.