nathanielvirgo

# This is code written by Nathaniel Virgo, for the sake of replying to a Twitter thread.
#
# The code is in the public domain and you can do what you want with it.
#
# It simulates N masses moving in 2D with Newtonian gravity, with symmetric initial
# conditions, and outputs an animated gif.
#
# This code makes no attempt to be accurate, because the whole point was to show
# the system breaking down as a result of numerical inaccuracies. In particular, it
# doesn't use a conservative ODE solver, so even before it breaks down a little bit of

vhoulbreque

Nteract tricks

To add a conda environment to the list of environments:

$ source activate thisenv
(thisenv) $ pip install ipykernel
(thisenv) $ python -m ipykernel install --user --name thisenv

johnpolacek

[alias]
	co = checkout
	cob = checkout -b
	coo = !git fetch && git checkout
	br = branch
	brd = branch -d
	brD = branch -D
	merged = branch --merged
	st = status
	aa = add -A .

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

nrubin

{
  "cmd": ["C:\\Program Files\\MATLAB\\R2012b\\bin\\matlab", "-nosplash", "-nodesktop",  "-r", "run('$file_name')"],
	"selector": "source.m"
}

endolith

from __future__ import division
from numpy.fft import rfft
from numpy import argmax, mean, diff, log, nonzero
from scipy.signal import blackmanharris, correlate
from time import time
import sys
try:
    import soundfile as sf
except ImportError:
    from scikits.audiolab import flacread