https://github.com/pzuehlke/hands-on-numpy
An introduction to NumPy for undergraduate students, focusing on basic linear algebra
https://github.com/pzuehlke/hands-on-numpy
linear-algebra numpy numpy-tutorial python scipy
Last synced: about 2 months ago
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An introduction to NumPy for undergraduate students, focusing on basic linear algebra
- Host: GitHub
- URL: https://github.com/pzuehlke/hands-on-numpy
- Owner: pzuehlke
- License: gpl-3.0
- Created: 2024-06-24T18:16:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-22T21:50:17.000Z (2 months ago)
- Last Synced: 2025-05-07T16:15:14.420Z (about 2 months ago)
- Topics: linear-algebra, numpy, numpy-tutorial, python, scipy
- Language: Jupyter Notebook
- Homepage:
- Size: 3.45 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hands-on NumPy
A tutorial introduction to NumPy focusing on applications to basic linear
algebra. The teaching follows a "learn by doing" approach, with exercises to
reinforce the use of every feature, interesting examples and some figures.
## Contents
1 — [Introduction to NumPy arrays](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/01-introduction_to_numpy_arrays/01-introduction_to_numpy_arrays.ipynb)
2 — [Slicing and filtering](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/02-slicing_and_filtering/02-slicing_and_filtering.ipynb)
3 — [Vectors and matrices](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/03-vectors_and_matrices/03-vectors_and_matrices.ipynb)
4 — [Solving equations](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/04-solving_equations/04-solving_equations.ipynb)
5 — [Array attributes and methods](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/05-array_attributes_and_methods/05_array_attributes_and_methods.ipynb)
6 — [Vectorization, broadcasting and random number generation](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/06-random_number_generation_and_vectorization/06-random_number_generation_and_vectorization.ipynb)
## Further Resources
1. [NumPy Documentation](https://numpy.org/doc/stable/)
2. [NumPy User Guide](https://numpy.org/doc/stable/user/index.html)
3. [SciPy Lectures - NumPy](https://scipy-lectures.org/intro/numpy/index.html)
4. [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
5. [100 NumPy Exercises](https://github.com/rougier/numpy-100)