kennethreitz

Resources for Python

RESTful != HTTP.

Work in progress.

This is a framework for bringing RESTful Resources to your Python applications. It can be used in a few ways:

• To add a RESTful interface to your existing codebase.

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

brodul

#! /bin/bash

# originaly from http://tinyurl.com/twitch-linux from taladan
# www.youtube.com/user/taladan

# gist created by brodul

INRES="1280x800"                                            # input resolution
#OUTRES="1024x640"                                           # Output resolution
OUTRES="800x500"                                           # Output resolution

jacobb

[
{ "keys": ["ctrl+f"], "command": "indentxml" },
{ "keys": ["super+k", "super+b"], "command": "toggle_side_bar" },
{
    "keys": ["super+shift+2"],
    "command": "set_layout",
    "args":
    {
        "cols": [0.0, 1.0],
        "rows": [0.0, 0.5, 1.0],

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

mt3

Deploy Python app using Pandas on Heroku

2012-09-08

This document explains how to deploy a Python app that uses the Pandas library on Heroku.

Heroku builds Numpy (one of Pandas' requirements) fine. However, when trying to deploy an app with both numpy and pandas in its requirements.txt file (or even just pandas), for some reason it fails

agnoster

agnoster.zsh-theme

A ZSH theme optimized for people who use:

• Solarized
• Git
• Unicode-compatible fonts and terminals (I use iTerm2 + Menlo)

For Mac users, I highly recommend iTerm 2 + Solarized Dark

andymccurdy

import time
from redis import ConnectionPool, Redis

class WaitingConnectionPool(ConnectionPool):
    "Connection Pool that blocks if a connection is not available"
    def make_connection(self):
        while True:
            if self._created_connections >= self.max_connections:
                time.sleep(0.01)
        self._created_connections += 1

Nurdok

Python Number Conversion Chart

From	To	Expression

ionelmc

# celery and it's dependencies
amqp==1.0.8
anyjson==0.3.3
kombu==2.5.6
python-dateutil==1.5
billiard==2.7.3.21
celery==3.0.15