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@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

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

@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active April 22, 2025 08:10
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@schovi
schovi / curl.example
Created September 14, 2012 17:58
How to use httpie instal of curl with elasticsearch
$ curl -XPUT 'http://localhost:9200/twitter/' -d '{
index : {
number_of_shards : 3
number_of_replicas : 2
}
}'
@why-not
why-not / gist:4582705
Last active November 6, 2024 04:35
Pandas recipe. I find pandas indexing counter intuitive, perhaps my intuitions were shaped by many years in the imperative world. I am collecting some recipes to do things quickly in pandas & to jog my memory.
"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
"""quick way to create an interesting data frame to try things out"""
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])
"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])
@aaronwolen
aaronwolen / slides.md
Last active November 11, 2022 23:57
Pandoc template to generate reveal.js slideshows.

% Title % Name % Date

My first slide

List

@arisetyo
arisetyo / index.html
Created July 12, 2013 16:37
Dynamic Real-time Chart Using Chart.js, Socket.io, and Knockout.js
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="author" content="Galenic">
<script src="js/jquery-1.9.1.js"></script>
<script src="js/knockout-2.1.0.js"></script>
<script src="js/Chart.js"></script>
<link rel="stylesheet" href="pure-min.css">
@sloria
sloria / bobp-python.md
Last active April 17, 2025 08:09
A "Best of the Best Practices" (BOBP) guide to developing in Python.

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

  • "Build tools for others that you want to be built for you." - Kenneth Reitz
  • "Simplicity is alway better than functionality." - Pieter Hintjens
@domderen
domderen / install.sh
Last active June 23, 2024 06:48
Installation of apache spark on ubuntu machine.
#!/bin/sh
# installation of Oracle Java JDK.
sudo apt-get -y update
sudo apt-get -y install python-software-properties
sudo add-apt-repository -y ppa:webupd8team/java
sudo apt-get -y update
sudo apt-get -y install oracle-java7-installer
# Installation of commonly used python scipy tools
@bsweger
bsweger / useful_pandas_snippets.md
Last active April 4, 2025 21:20
Useful Pandas Snippets

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)

@drorata
drorata / gist:146ce50807d16fd4a6aa
Last active June 3, 2024 06:00
Minimal Working example of Elasticsearch scrolling using Python client
# Initialize the scroll
page = es.search(
index = 'yourIndex',
doc_type = 'yourType',
scroll = '2m',
search_type = 'scan',
size = 1000,
body = {
# Your query's body
})