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A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to
The Python Data Science Handbook (also
with notebooks on github).
These materials are adapted from courses and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
This material was written and tested using Python 3.5, and should work for any Python 3.X
version. I have done my best to note places where the syntax of Python 2.X will differ.
Index
(Note: sometimes GitHub's notebook rendering can be slow or finicky.
If you're having trouble with the following links, try viewing the material
on nbviewer)
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
