jsiah Goto Github PK

2013_fall_astr599

Content for my Astronomy 599 Course: Intro to scientific computing in Python

2015

aplpy

Astronomical Plotting Library in Python (note that APLpy 1.0 is now developed in the v1.x branch - see README.rst for more details)

astroml.github.com

astroML web page

astropy-examples

A folder of exercises to work off of in the astronomical python library, astropy.

astroquery

Functions and classes to access online data resources. Maintainer: @keflavich

balbuceos_astropythonicos

IPython Notebooks de mi blog

basemap

beacontoolkit

Tools for working with modern scientific data

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

brew

:beer: The missing package manager for OS X

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cookbook-data

Datasets used in the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cubehelix

A full implementation of Dave Green's "cubehelix" colormap for Python

data-science-at-the-command-line

Data Science at the Command Line

enplot

one-line plotting tool

fft-python

FFT Examples in Python

foundations-for-analytics-with-python

gamma_astropy_talk

Using astropy for gamma ray astronomy

gammapy

A Python package for gamma-ray astronomy

healpy

Python healpix maps tools

ipython-in-depth

IPython in-depth Tutorial, first presented at PyCon 2012

jsanimation

An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

kapteyn-mirror

A copy of http://www.astro.rug.nl/software/kapteyn-beta/kapteyn-2.3b2.tar.gz

learndatascience

Open Content for self-directed learning in data science

mitx-foundations-of-computer-science

The Foundations of Computer Science XSeries, offered by the M.I.T. Department of Electrical Engineering and Computer Science, is a sequence of courses that introduce key concepts of computer science and computational thinking. Students apply these concepts and build their engineering skills by completing software and hardware design problems. Additionally, students test their understanding by taking a series of exams.

mssl-python-course

MSSL Python Course Material

myastroproject

myhawcsim

palettable

Color palettes for Python