Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Array_creation_routines.ipynb		Array_creation_routines.ipynb
Array_creation_routines_solution.ipynb		Array_creation_routines_solution.ipynb
Array_manipulation_routines.ipynb		Array_manipulation_routines.ipynb
Array_manipulation_routines_Solutions.ipynb		Array_manipulation_routines_Solutions.ipynb
LICENSE		LICENSE
Linear_algebra.ipynb		Linear_algebra.ipynb
Linear_algebra_Solutions.ipynb		Linear_algebra_Solutions.ipynb
Logic_functions.ipynb		Logic_functions.ipynb
Logic_functions_Solutions.ipynb		Logic_functions_Solutions.ipynb
Numpy-specific_help_functions.ipynb		Numpy-specific_help_functions.ipynb
Numpy-specific_help_functions_Solutions.ipynb		Numpy-specific_help_functions_Solutions.ipynb
README.md		README.md
Random_sampling.ipynb		Random_sampling.ipynb
Random_sampling_Solutions.ipynb		Random_sampling_Solutions.ipynb
Set_routines.ipynb		Set_routines.ipynb
Set_routines_Solutions.ipynb		Set_routines_Solutions.ipynb

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numpy exercises

In numerical computing in python, numpy is essential. I'm writing some simple (a few lines) but 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 (WIP)
Statistics (WIP)

Nov., 2016 Kyubyong

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