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CodeVault
training-material
Python Programming
NumPy-SciPy
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c9e65c7c
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Mar 26, 2019
by
Aris Sotiropoulos
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# NumPy-SciP
i
# NumPy-SciP
y
Numerical programming with NumPy and Scipy
The present project contains code and exercises for NumPy and SciPy.
## How to contribute
Any contributions (new exercises and examples, bug fixes, improvements etc.) are
warmly welcome. In order to contribute, please follow the standard
GitLab workflow:
1.
Fork the project into your personal space
2.
Create a feature branch
3.
Work on your contributions
4.
Push the commit(s) to your fork
5.
Submit a merge request to the master branch
As a quality assurance, the merge request is reviewed by PRACE staff before it is accepted into main branch.
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