max-mapper

lyda

#!/usr/bin/lua
-- Metrics web server (0.1)
-- Copyright (c) 2015 Kevin Lyda
-- Apache 2.0 License

socket = require("socket")
netsubstat = {"IcmpMsg", "Icmp", "IpExt", "Ip", "TcpExt", "Tcp", "UdpLite", "Udp"}
cpu_mode = {"user", "nice", "system", "idle", "iowait", "irq",
            "softirq", "steal", "guest", "guest_nice"}
netdevsubstat = {"receive_bytes", "receive_packets", "receive_errs",

evgeny-goldin

# Validate project's JSON files 
function vj()
{
  if [ "$1" == "" ]; then
    local path="."
  else
    local path="$1"
  fi  
  
  for json in $(find "$path" -name "*.json"); do

tonyseek

Run with Python:

pip-2.7 install cffi
PYTHON=python2.7 sh go.sh

Run with PyPy:

pip-pypy install cffi
PYTHON=pypy sh go.sh

konklone

# Basically the nginx configuration I use at konklone.com. 
# I check it using https://www.ssllabs.com/ssltest/analyze.html?d=konklone.com
# 
# To provide feedback, please tweet at @konklone or email eric@konklone.com.
# Comments on gists don't notify the author. 
# 
# Thanks to WubTheCaptain (https://wubthecaptain.eu) for his help and ciphersuites.
# Thanks to Ilya Grigorik (https://www.igvita.com) for constant inspiration.

server {

audreyfeldroy

• Update HISTORY.md
• Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

• Update version number (can also be minor or major)

bumpversion patch

jessykate

import re

from django.utils.text import compress_string
from django.utils.cache import patch_vary_headers

from django import http

''' 
EXAMPLE USAGE:
    Put this file in a directory called, eg, 'middleware,' inside your django

fonnesbeck

'''
Gibbs sampler for function:

f(x,y) = x x^2 \exp(-xy^2 - y^2 + 2y - 4x)

using conditional distributions:

x|y \sim Gamma(3, y^2 +4)
y|x \sim Normal(\frac{1}{1+x}, \frac{1}{2(1+x)})
'''

GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy

davidandrzej

"""
Visualize points on the 3-simplex (eg, the parameters of a
3-dimensional multinomial distributions) as a scatter plot 
contained within a 2D triangle.

David Andrzejewski (david.andrzej@gmail.com)
"""
import numpy as NP
import matplotlib.pyplot as P
import matplotlib.ticker as MT