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The teaching follows a \"learn by doing\" approach, with exercises to\nreinforce the use of every feature, interesting examples and some figures.\n\n## Contents\n\n1 — [Introduction to NumPy arrays](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/01-introduction_to_numpy_arrays/01-introduction_to_numpy_arrays.ipynb)\u003cbr\u003e\n2 — [Slicing and filtering](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/02-slicing_and_filtering/02-slicing_and_filtering.ipynb)\u003cbr\u003e\n3 — [Vectors and matrices](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/03-vectors_and_matrices/03-vectors_and_matrices.ipynb)\u003cbr\u003e\n4 — [Solving equations](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/04-solving_equations/04-solving_equations.ipynb)\u003cbr\u003e\n5 — [Array attributes and methods](https://github.com/pzuehlke/Hands-on-NumPy/blob/main/05-array_attributes_and_methods/05_array_attributes_and_methods.ipynb)\u003cbr\u003e\n6 — [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)\u003cbr\u003e\n\n\n\n## Further Resources\n\n1. [NumPy Documentation](https://numpy.org/doc/stable/)\n2. [NumPy User Guide](https://numpy.org/doc/stable/user/index.html)\n3. [SciPy Lectures - NumPy](https://scipy-lectures.org/intro/numpy/index.html)\n4. [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)\n5. [100 NumPy Exercises](https://github.com/rougier/numpy-100)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpzuehlke%2Fhands-on-numpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpzuehlke%2Fhands-on-numpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpzuehlke%2Fhands-on-numpy/lists"}