eric-Rstats / numpy_exercises

Numpy exercises.

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numpy exercises

In numerical computing in python, numpy is essential. I'm writing simple (a few lines for each problem) but hopefully helpful exercises based on each of numpy's functions. The basic outline will be as follows.

  • Array creation routines (DONE)
  • Array manipulation routines (DONE)
  • String operations (WIP)
  • Numpy-specific help functions (DONE)
  • Indexing routines (WIP)
  • Input and output (WIP)
  • Linear algebra (numpy.linalg) (DONE)
  • Logic functions (DONE)
  • Mathematical functions (WIP)
  • Random sampling (numpy.random) (DONE)
  • Set routines (DONE)
  • Sorting, searching, and counting (DONE)
  • Statistics (WIP)

Nov., 2016 Kyubyong

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Numpy exercises.

License:MIT License


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