Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.
# http://unfoldthat.com/2012/06/02/quick-deploy-chef-solo-fabric.html | |
from fabric.api import settings, run, sudo, reboot, put, cd, env | |
AWS_ACCESS_KEY = '...' | |
AWS_SECRET_KEY = '...' | |
AWS_KEYPAIR_NAME = '...' | |
AWS_SECURITY_GROUPS = ['default'] |
// Property Nonatomic Strong | |
// Platform: All | |
// Completion Scopes: ClassInterfaceMethods | |
@property (nonatomic, strong) <# class_name #> *<# variable_name #>; |
{% extends 'admin/master.html' %} | |
{% import 'admin/lib.html' as lib with context %} | |
{% block body %} | |
{% call lib.form_tag() %} | |
{{ lib.render_form_fields(form) }} | |
<input type="submit" /> | |
{% endcall %} | |
{% endblock %} |
Attention: the list was moved to
https://github.com/dypsilon/frontend-dev-bookmarks
This page is not maintained anymore, please update your bookmarks.
daemon off; | |
error_log /dev/stdout error; | |
worker_processes 4; | |
events { | |
worker_connections 1024; | |
} | |
As of version 3.3, python includes the very promising concurrent.futures
module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.
For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.
We use the context manager thusly:
with concurrent.futures.ProcessPoolExecutor() as executor:
server { listen 80; | |
server_name example.com; | |
access_log /var/log/example.com/nginx.access.log; | |
error_log /var/log/example.com/nginx.error.log; | |
root /var/www/apps/example.com/public; | |
charset utf-8; | |
location / { | |
rewrite ^ https://$host$request_uri? permanent; | |
} |
## Alexey Kachayev, 2014 | |
## Link to slides: | |
## http://goo.gl/n4ylC4 | |
## Basic: | |
## type Parser = String -> Tree | |
## Composition | |
## type Parser = String -> (Tree, String) |