NumPy https://www.numpy.org/
NumPy Material to Learn and Practise
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
1.a powerful N-dimensional array object
2.sophisticated (broadcasting) functions
3.tools for integrating C/C++ and Fortran code
4.useful linear algebra, Fourier transform, and random number capabilities
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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Use ipython files to start learning NumPy.
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There will be files with details of the code and its output to Learn.
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Some files with Tasks with there solutions.
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A Quick Recall Guide
Step 1. Install Anaconda. https://www.anaconda.com/
Step 2. Open Anaconda and inside it there is a Jupyter Notebook install it.
Step 3. Launch Jupyter Notebook.
Step 4. Upload the repo files.
Step 5. Start Learning / Revising.