Python-Workshop

PrincetonPy's one-day workshop, Introduction to Python for Scientific Computing.

The material comes as a series of IPython Notebooks :

1. Introduction and Setup - a brief introduction to what Python is about, and some recommendations for what to install.
1. Basic Python - very quick intro to variables, control structure, lists, dictionaries, functions, IO; to get you on your feet.
1. Numpy, Scipy, Pandas, Matplotlib - the Scipy Stack which forms the basis of scientific coding in Python.
1. Demos - lmfit, scikit-learn, scikit-image, pandas, pickle, pymc; some packages I use for cool scientific work.

Exercises occur throughout, with tips and solutions given. For all questions, please get in touch either on our forums or on Twitter at @PrincetonPy.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.gitignore		.gitignore
0.Intro-and-Setup.ipynb		0.Intro-and-Setup.ipynb
0.Intro-and-Setup.slides.html		0.Intro-and-Setup.slides.html
1.BasicPython.ipynb		1.BasicPython.ipynb
1.BasicPython.slides.html		1.BasicPython.slides.html
2.Stack.ipynb		2.Stack.ipynb
2.Stack.slides.html		2.Stack.slides.html
3.Demos.ipynb		3.Demos.ipynb
3.Demos.slides.html		3.Demos.slides.html
CoffeeTimeSeries.csv		CoffeeTimeSeries.csv
LICENSE		LICENSE
README.md		README.md
depts.png		depts.png
example.txt		example.txt
liver.jpg		liver.jpg
pickled_human.p		pickled_human.p
poi2.png		poi2.png
sheep.csv		sheep.csv

QCaudron/Python-Workshop