NumPy

NumPy training course

Conda environment

To share the environment, it is used:

conda env export --from-history | grep -v "^prefix: " > environment.yml

So only packages that are explicitly requested will be included, and without the prefix, which is the local folder where the package is installed.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
data		data
img		img
src		src
.gitignore		.gitignore
LICENSE.md		LICENSE.md
Numpy-1_Arrays_Dtypes_Shapes.ipynb		Numpy-1_Arrays_Dtypes_Shapes.ipynb
Numpy-2a_Slicing.ipynb		Numpy-2a_Slicing.ipynb
Numpy-2b_Vectorization.ipynb		Numpy-2b_Vectorization.ipynb
Numpy-3_Fancy_Selection.ipynb		Numpy-3_Fancy_Selection.ipynb
Numpy-4_Shaping_Broadcasting.ipynb		Numpy-4_Shaping_Broadcasting.ipynb
Numpy-5_Join_Stack_Split.ipynb		Numpy-5_Join_Stack_Split.ipynb
Numpy-6_Advanced.ipynb		Numpy-6_Advanced.ipynb
README.md		README.md
environment.yml		environment.yml