132
GitHub - Kyubyong/numpy_exercises: Numpy exercises.
source link: https://github.com/Kyubyong/numpy_exercises
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
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
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK