https://github.com/kyubyong/numpy_exercises

Numpy exercises.
https://github.com/kyubyong/numpy_exercises

numpy numpy-exercises

Last synced: about 19 hours ago
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Numpy exercises.

• Host: GitHub
• URL: https://github.com/kyubyong/numpy_exercises
• Owner: Kyubyong
• License: mit
• Created: 2016-11-19T08:36:34.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2023-05-21T08:47:30.000Z (over 1 year ago)
• Last Synced: 2024-12-21T09:02:12.701Z (about 19 hours ago)
• Topics: numpy, numpy-exercises
• Language: Python
• Homepage:
• Size: 173 KB
• Stars: 1,704
• Watchers: 81
• Forks: 582
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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 outline will be as follows.

  * Array creation routines (DONE)

  * Array manipulation routines (DONE)

  * String operations (DONE)

  * Numpy-specific help functions (DONE)

  * Input and output (DONE)

  * Linear algebra (DONE)

  * Discrete Fourier Transform (DONE)

  * Logic functions (DONE)

  * Mathematical functions (DONE)

  * Random sampling (numpy.random) (DONE)

  * Set routines (DONE)

  * Sorting, searching, and counting (DONE)

  * Statistics (DONE)

Nov., 2016

Kyubyong