gufranco-zz

#!/bin/sh

# System update
sudo apt-get update

# Curl
sudo apt-get -y install curl

# Git
sudo apt-get -y install git-core

yanofsky

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

alexzam

int lD = 250;
int lnD = 500;
 
int N = 0x8;
int F = 0x4;
 
int RS = 0;
int RW = 1;
int E = 2;
int DB4 = 4;

dwf

"""Display Theano functions in the IPython notebook with pydotprint."""

__author__ = "David Warde-Farley"
__copyright__ = "Copyright 2012, Universite de Montreal"
__credits__ = ["David Warde-Farley"]
__license__ = "3-clause BSD"
__email__ = "wardefar@iro"
__maintainer__ = "David Warde-Farley"

benhosmer

import unittest

# Here's our "unit".
def IsOdd(n):
    return n % 2 == 1

def IsaString(text):
	#text = "Hello"
	text = ['apples', 'bananas']
	return type(text)

wesm

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

paulmillr

Most active GitHub users (git.io/top)

The list would not be updated for now. Don't write comments.

The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.

Because of GitHub search limitations, only 1000 first users according to amount of followers are included. If you are not in the list you don't have enough followers. See raw data and source code. Algorithm in pseudocode:

githubUsers

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.

minrk

import os
import sys

import numpy as np
import matplotlib.pyplot as plt

from pandas import DataFrame
from pandas.util.testing import set_trace

dirs = []