Numba is a "just in time" (jit) compiler for python. It is designed to optimize floating point operations and loops which makes it ideal for scientific code. The simplest way to use it is to decorate you function as shown below, which instructs Numba to compile the function into fast machine code the first time it is called.
from numba import jit
@jit(nopython=True)
def dotproduct(v1, v2):
isum = 0.0| # -*- coding: utf-8 -*- | |
| """ | |
| Wrapper around dreadnaut that computes the orbits of a graph. | |
| NOTE: Must have installed `dreandaut`. The location of the binary can be passed | |
| as an argument to `compute_automorphisms`. | |
| Author: Jean-Gabriel Young <[email protected]> | |
| """ | |
| import subprocess |
| import numpy as np | |
| import matplotlib.patches as mpatches | |
| import networkx as nx | |
| from matplotlib.patches import FancyArrowPatch as ArrowPath | |
| from matplotlib.font_manager import FontProperties | |
| def draw_curved_edges(edges, pos, ax, mu=0.05, edge_color="black", edge_width=1.0, alpha=1.0, arrow_scale=20.0, loopsize=0): | |
| """ | |
Disclaimer: I wrote the packages language-latex2e, autocomplete-latex, latex-wordcount, and hyperclick-latex. I still try to provide a list of all useful packages though, so let me know if I have missed one.
This is a general guide for how to get started with LaTeX in Atom.
NOTE: This guide assumes you already have LaTeX installed on your computer. If you do not, I recommend TeX Live.
| #!/usr/bin/env python | |
| """ Short description of this Python module. | |
| Longer description of this module. | |
| This program is free software: you can redistribute it and/or modify it under | |
| the terms of the GNU General Public License as published by the Free Software | |
| Foundation, either version 3 of the License, or (at your option) any later | |
| version. |
There is no guarantee that this will work, i wrote this so in case anyone else have the same goal in mind. Using: Ubuntu 16.04; miniconda2
| rm -rf ~/.atom | |
| rm -rf /usr/local/bin/atom | |
| rm -rf /usr/local/bin/apm | |
| rm -rf /Applications/Atom.app | |
| rm -rf ~/Library/Preferences/com.github.atom.plist | |
| rm -rf ~/"Library/Application Support/com.github.atom.ShipIt" | |
| rm -rf ~/"Library/Application Support/Atom" | |
| rm -rf ~/"Library/Saved Application State/com.github.atom.savedState" | |
| rm -rf ~/Library/Caches/com.github.atom | |
| rm -rf ~/Library/Caches/com.github.atom.Shipit |
cd to navigate to where you want to put your project
| rm -r .git | |
| git init | |
| (create files) | |
| git add -A | |
| git commit -m 'Initial commit' | |
| git remote add origin <url> | |
| git push --force --set-upstream origin master |
| import copy | |
| import networkx | |
| import matplotlib.pyplot as plt | |
| # Generate a graph. | |
| # Here I chose an ER graph. | |
| g = nx.erdos_renyi_graph(20, 0.3) | |
| # Get positions. | |
| # Here I use the spectral layout and add a little bit of noise. |