pylang

digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

sorting_algorithms_py

Basic sorting algorithms in python. Simplicity.

intermediatePython

requests

A simple, yet elegant, HTTP library.

imolecule

An embeddable webGL molecule viewer and file format converter.

viscm

A tool for visualizing and designing colormaps using colorspacious and matplotlib

cmocean

Colormap setup for standardizing commonly-plotting oceanographic variables.

notebook

Jupyter Interactive Notebook

markdown-css-themes

A collection of css themes for Markdown

mpld3

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

fullstackpython.com

Full Stack Python source with Pelican, Bootstrap and Markdown.

kateheddleston.com

My personal website. It's a janky little thing :)

python-mingus

Mingus is a music package for Python

python-future

Easy, clean, reliable Python 2/3 compatibility

sympy

A computer algebra system written in pure Python

sphinx-bootstrap-theme

Sphinx Bootstrap Theme

2014-06-24-wise-penn

WiSE bootcamp at the University of Pennsylvania, June 2014

jupyterhub

Multi-user server for Jupyter notebooks

bokeh

Interactive Data Visualization in the browser, from Python

free-programming-books

:books: Freely available programming books

scipy

SciPy library main repository

numpy

The fundamental package for scientific computing with Python.

matplotlib

matplotlib: plotting with Python

scikit-learn

scikit-learn: machine learning in Python

sklearn_tutorial

Slides for quick intro to machine learning with sklearn

astroML

Machine learning, statistics, and data mining for astronomy and astrophysics

pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

seaborn

Statistical data visualization in Python

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.