scvalex

#!/usr/bin/python

"""Module for pulling contacts out of Google and storing them to disk
(or something).

See the official guide for a more in-depth look at GData Python
   http://code.google.com/apis/contacts/docs/1.0/developers_guide_python.html
"""

import atom

alanbriolat

server {
    listen       80;
    server_name  localhost;

    # ... other default site stuff, document root, etc. ...

    location ~ ^/~(?<userdir_user>.+?)(?<userdir_uri>/.*)?$ {
        alias   /home/$userdir_user/public_html$userdir_uri;
        index   index.html index.htm index.php;
        autoindex on;

max-mapper

var serialport = require('node-serialport')

var sp = new serialport.SerialPort("/dev/ttyO3", { 
  parser: serialport.parsers.raw,
  baud: 9600
})

sp.on('data', function(chunk) {
  console.log(chunk.toString('hex'), chunk.toString(), chunk)
})

pascalpoitras

This configuration is not maintained anymore. You should think twice before using it, Breaking change and security issue will likely eventually happens as any abandonned project.

miguelmota

How to set up multiple accounts with Mutt E-mail Client

Thanks to this article by Christoph Berg

Instructions

Directories and files

~/

nicwolff

import os
import sys
from xml.sax import parse
from xml.sax.saxutils import XMLGenerator

class CycleFile(object):

    def __init__(self, filename):
        self.basename, self.ext = os.path.splitext(filename)
        self.index = 0

patik

Squashing Git Commits

The easy and flexible way

This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).

Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.

Switch to the master branch and make sure you are up to date:

dvgodoy

## Gist originally developed by @craffel and improved by @ljhuang2017

import matplotlib.pyplot as plt
import numpy as np

def draw_neural_net(ax, left, right, bottom, top, layer_sizes, coefs_, intercepts_, n_iter_, loss_):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:

tobiasvl

# Copied from https://github.com/aseprite/aseprite/blob/master/INSTALL.md#skia-on-linux

sudo yum install -y gcc-c++ cmake ninja-build libX11-devel libXcursor-devel mesa-libGL-devel fontconfig-devel

mkdir $HOME/deps
cd $HOME/deps
git clone https://chromium.googlesource.com/chromium/tools/depot_tools.git
git clone -b aseprite-m71 https://github.com/aseprite/skia.git
export PATH="${PWD}/depot_tools:${PATH}"
cd skia