dupuy

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.

evandrix

#!/usr/bin/env python

"""
=====================================
PEP 20 (The Zen of Python) by example
=====================================

Usage: %prog

:Author: Hunter Blanks, hblanks@artifex.org / hblanks@monetate.com

JeffPaine

Moved

Now located at https://github.com/JeffPaine/beautiful_idiomatic_python.

Why it was moved

Github gists don't support Pull Requests or any notifications, which made it impossible for me to maintain this (surprisingly popular) gist with fixes, respond to comments and so on. In the interest of maintaining the quality of this resource for others, I've moved it to a proper repo. Cheers!

mdwhatcott

#!/usr/bin/env python

"""
This script scans the current working directory for changes to .go files and 
runs `go test` in each folder where *_test.go files are found. It does this 
indefinitely or until a KeyboardInterrupt is raised (<Ctrl+c>). This script 
passes the verbosity command line argument (-v) to `go test`.
"""

robphoenix

This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet

Useful Spacemacs commands

• SPC q q - quit
• SPC w / - split window vertically
• SPC w - - split window horizontally
• SPC 1 - switch to window 1
• SPC 2 - switch to window 2
• SPC w c - delete current window

apolloclark

#!/bin/bash

# update apt-get
export DEBIAN_FRONTEND="noninteractive"
sudo apt-get update

# remove previously installed Docker
sudo apt-get purge lxc-docker*
sudo apt-get purge docker.io*

chdorner

my database had 72k annotations at the time I ran these benchmarks, here's the result:

$ python scripts/batch_bench.py conf/development-app.ini dumb
Memory summary: start
      types |   # objects |   total size
=========== | =========== | ============
       dict |       13852 |     12.46 MB
  frozenset |         349 |     11.85 MB
VM: 327.29Mb

jamesmacwhite

Converting mkv to mp4 with ffmpeg

Essentially just copy the existing video and audio stream as is into a new container, no funny business!

The easiest way to "convert" MKV to MP4, is to copy the existing video and audio streams and place them into a new container. This avoids any encoding task and hence no quality will be lost, it is also a fairly quick process and requires very little CPU power. The main factor is disk read/write speed.

With ffmpeg this can be achieved with -c copy. Older examples may use -vcodec copy -acodec copy which does the same thing.

These examples assume ffmpeg is in your PATH. If not just substitute with the full path to your ffmpeg binary.

Single file conversion example

tylerneylon

""" A function that can read MNIST's idx file format into numpy arrays.

    The MNIST data files can be downloaded from here:
    
    http://yann.lecun.com/exdb/mnist/

    This relies on the fact that the MNIST dataset consistently uses
    unsigned char types with their data segments.
"""

jkokatjuhha

# library to generate user agent
from user_agent import generate_user_agent
# generate a user agent
headers = {'User-Agent': generate_user_agent(device_type="desktop", os=('mac', 'linux'))}
#headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux i686 on x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.63 Safari/537.36'}
page_response = requests.get(page_link, timeout=5, headers=headers)