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Getting started with Python for Science

Introduction to getting started
Python scientific computing ecosystem
The Python language
NumPy: creating and manipulating numerical data
Matplotlib: plotting
SciPy: high-level scientific computing
Getting help and finding documentation

Advanced topics

Introduction to advanced topics
Advanced Python Constructs
Advanced NumPy
Debugging code
Optimizing code
Scipy sparse arrays
Image manipulation and processing using NumPy and SciPy
Mathematical optimization: finding minima of functions
Interfacing with C

Packages and applications

Introduction to packages and applications
Statistics in Python
sympy : Symbolic Mathematics in Python
scikit-image: image processing
scikit-learn: machine learning in Python

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Introduction to packages and applications

Introduction to packages and applications#

This part of the Scientific Python Lectures is dedicated to various scientific packages useful for extended needs.

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Interfacing with C

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Statistics in Python

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