(Persons are alphabeticaly sorted by family name, the rest is sorted by name.)
⚠️ WARNING
The ordering of listed projects or documents is random and has no connection to relevance or maturity levels!
Extension | Description |
---|---|
pgaudit |
Postgres auditing extension |
// source: https://jennamolby.com/how-to-use-cookies-to-capture-url-parameters/ | |
(function(){ | |
function getCookie(cname) { | |
var name = cname + "="; | |
var decodedCookie = decodeURIComponent(document.cookie); | |
var ca = decodedCookie.split(';'); | |
for(var i = 0; i <ca.length; i++) { | |
var c = ca[i]; | |
while (c.charAt(0) == ' ') { | |
c = c.substring(1); |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
#!groovy | |
# Best of Jenkinsfile | |
# `Jenkinsfile` is a groovy script DSL for defining CI/CD workflows for Jenkins | |
node { | |
} |
(by @andrestaltz)
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.
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
class PostgreSQLConnection(psycopg2.extensions.connection): | |
""" | |
A custom `connection_factory` for :func:`psycopg2.connect`. | |
This | |
* puts the connection into unicode mode (for text) | |
* modifies the :meth:`cursor` method of a :class:`psycopg2.connection`, | |
facilitating easy acquiring of cursors made from | |
:cls:`psycopg2.extras.RealDictCursor`. | |
""" |
#!/bin/sh | |
### | |
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
### | |
# Alot of these configs have been taken from the various places | |
# on the web, most from here | |
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |