Numpy-Matplotlib

Introduction to numpy and matplotlib

This lecture gives a short introduction to numerical aspects in python coding, with an emphasis on matrix operation with numpy and plotting with matplotlib.

References

Inspired from the work of:

1. A. Gramfort (alexandre.gramfort@inria.fr) http://alexandre.gramfort.net/
2. J. R. Johansson https://jrjohansson.github.io/numericalpython.html or https://github.com/jrjohansson/scientific-python-lectures

Objectives

During this session you will learn the very basics of:

1. How to create and handle simple matrix operation in numpy

2. Plot simple graphs / subplots

3. How to generate (basic) random elements (vector/matrices)

4. How to Use basic (binary) masking operations

5. How to get (basic) linear algebra manipulations.