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

seberg

import numpy as np
from collections import defaultdict as _dd

def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
    """Create a view of `array` which for every point gives the n-dimensional
    neighbourhood of size window. New dimensions are added at the end of
    `array` or after the corresponding original dimension.
    
    Parameters
    ----------

m3nd3s

NERDTree

o.......Open files, directories and bookmarks....................|NERDTree-o|
go......Open selected file, but leave cursor in the NERDTree.....|NERDTree-go|
t.......Open selected node/bookmark in a new tab.................|NERDTree-t|
T.......Same as 't' but keep the focus on the current tab........|NERDTree-T|
i.......Open selected file in a split window.....................|NERDTree-i|
gi......Same as i, but leave the cursor on the NERDTree..........|NERDTree-gi|
s.......Open selected file in a new vsplit.......................|NERDTree-s|
gs......Same as s, but leave the cursor on the NERDTree..........|NERDTree-gs|

O.......Recursively open the selected directory..................|NERDTree-O|

cnicodeme

#!/bin/bash
#
# --------------------------------------------------------------------
# This is a free shell script under GNU GPL version 3.0 or above
# Copyright (C) 2005 ReFlectiv project.
# Feedback/comment/suggestions : http://www.reflectiv.net/
# -------------------------------------------------------------------------
#
# This script automatically set up a new *Debian* server (IMPORTANT : Debian!), by doing these actions :
#

r1pper

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Globalization;
using System.Runtime.InteropServices;
using System.Text;
using System.Windows.Forms;

namespace Spy
{

thoward

# Outbound UDP Flood protection in a user defined chain.
iptables -N udp-flood
iptables -A OUTPUT -p udp -j udp-flood
iptables -A udp-flood -p udp -m limit --limit 50/s -j RETURN
iptables -A udp-flood -j LOG --log-level 4 --log-prefix 'UDP-flood attempt: '
iptables -A udp-flood -j DROP

ChuckJHardy

Install the following requirements:

brew info zeromq
npm install zmq
npm install socket.io
gem install ffi-rzmq

Within the app directory run the following commands in different panes.

ruby worker.rb

denji

The MBP is my development machine, so I needed all of my tools installed with the ability to update them with ease. In the past, I used MacPorts to take care of my MySQL, Memcached, and Ruby installions and it worked just fine. This time around however, I wanted something new and fun. Homebrew.

Homebrew is a new package manager for OS X. Unlike Fink or MacPorts, Homebrew integrates with the core operating system, reducing the number of extra libraries to install etc. Another neat feature is the ability to write software package recipes in Ruby, awesome.

Here are some raw installation instructions (clean system). I like to keep everything under user ownership to make life more enjoyable, say no to sudo.

You will need the latest version of xcode, you can get it here. After the installation is complete, you may continue.

sudo mkdir /usr/local

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)