2: 40 pm numPy tutorials

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3/31/22, 2:40 PM
NumPy tutorials — NumPy Tutorials
https://numpy.org/numpy-tutorials/
1/2
NumPy tutorials
Contents
Content
Useful links and resources
launch
launch
binder
binder
This set of tutorials and educational materials is being developed in the 
numpy-tutorials
 repository, and is not a part of the NumPy source
tree. The goal of this repository is to provide high-quality resources by the NumPy project, both for self-learning and for teaching classes with.
If you’re interested in adding your own content, check the 
Contributing
section.
To open a live version of the content, click the 
launch Binder
button above. To open each of the 
.md
files, right click and select “Open with ->
Notebook”. You can also launch individual tutorials on Binder by clicking on the rocket icon that appears in the upper-right corner of each
tutorial. To download a local copy of the 
.ipynb
files, you can either 
clone this repository
 or use the download icon in the upper-right corner of
each tutorial.
Content
NumPy Features
Linear algebra on n-dimensional arrays
Saving and sharing your NumPy arrays
Masked Arrays
NumPy Applications
Determining Moore’s Law with real data in NumPy
Deep learning on MNIST
Deep reinforcement learning with Pong from pixels
Sentiment Analysis on notable speeches of the last decade
X-ray image processing
Determining Static Equilibrium in NumPy
Plotting Fractals
Analyzing the impact of the lockdown on air quality in Delhi, India
Contributing
Why Jupyter Notebooks?
Adding your own tutorials
Useful links and resources
The following links may be useful:
NumPy Code of Conduct
Main NumPy documentation
NumPy documentation team meeting notes
NEP 44 - Restructuring the NumPy documentation
Blog post - Documentation as a way to build Community
Note that regular documentation issues for NumPy can be found in the 
main NumPy repository
(see the 
Documentation
labels there).

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3/31/22, 2:40 PM
NumPy tutorials — NumPy Tutorials
https://numpy.org/numpy-tutorials/
2/2
By the NumPy community 
© Copyright 2020, the NumPy community.