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8hrs intro to python for mathematicians (Reading University, Enhancement Week)
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Exercises 1.ipynb
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Lecture 3.ipynb
Lecture 4.ipynb
README.md
alltext.txt
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README.md

Introduction to Python

Binder

This repository contains the interactive (ipython) lecture notes that I've used for a very brief introduction to python programming for scientists, held at Reading University during the enhancement week. Due to time constraints there are many topics that were not covered, but overall I believe it should provide enough informations to start doing something and understand how and where to look for more.

Note that the lecture notes are not self-contained, during the course I was adding examples and additional explanations here and there to integrate the content.

  • Lecture 0 contains informations on the tools used during the coruse and additional references.
  • Lecture 1 is an introduction to Python data structures.
  • Lecture 2 gives a brief overview of Python control structures, modules and functions.
  • Exercises 1 has some exercises that could be approached with what has been done in the first two lectures.
  • Lecture 3 is an introduction to matplotlib.
  • Lecture 4 is an introduction to scipy and numpy.

Online there are many many good resources, with many more details. I tried to link the ones I know and liked, and sometimes overlooked while preparing these notes. If something is missing pleas let me know and I will integrate the comments and the links. You can click on the binder badge to directly run online an interactive version of these notebooks.

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