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Setting up Django using Apache/mod_wsgi on Ubuntu 8.10 | |
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This article will cover setting up Django using Apache/mod_wsgi on Ubuntu | |
8.10. The article is targeted at a production environment, but keep in mind | |
this is a more generalized environment. You may have different requirements, | |
but this article should at least provide the stepping stones. | |
The article will use distribution packages where nesscary. As of 8.10 the |
Attention: if you attempt to fork this gist, github will think that you are a spammer and you will have to confirm that you are human with them. Apparantly there are too many links in this list. Also I update it rather frequently (see revisions on the left), so it's probably wise to not fork it anyway.
/* Flatten das boostrap */ | |
.well, .navbar-inner, .popover, .btn, .tooltip, input, select, textarea, pre, .progress, .modal, .add-on, .alert, .table-bordered, .nav>.active>a, .dropdown-menu, .tooltip-inner, .badge, .label, .img-polaroid { | |
-moz-box-shadow: none !important; | |
-webkit-box-shadow: none !important; | |
box-shadow: none !important; | |
-webkit-border-radius: 0px !important; | |
-moz-border-radius: 0px !important; | |
border-radius: 0px !important; | |
border-collapse: collapse !important; | |
background-image: none !important; |
Prerequisites:
- One or more clients running a UNIX-like OS. Examples are given for Ubuntu 12.04 LTS, although all software components are available for other platforms as well (e.g. OS X). YMMV
- A cheap Ubuntu 12.04 VPS with storage. I recommend Backupsy, they offer 250GB storage for $5/month. Ask Google for coupon codes.
Software components used:
from django.contrib.sessions.backends.base import SessionBase, CreateError | |
from django.conf import settings | |
from django.utils.encoding import force_unicode | |
import redis | |
class SessionStore(SessionBase): | |
""" Redis store for sessions""" | |
def __init__(self, session_key=None): | |
self.redis = redis.Redis( |
==== SNIP ==== | |
class DistanceSerializer(serializers.Serializer): | |
km = serializers.FloatField() | |
m = serializers.FloatField() | |
mi = serializers.FloatField() | |
ft = serializers.FloatField() | |
class SearchResultSerializer(serializers.Serializer): |
"""Illustration for various types of namespace scopes in TensorFlow. | |
> python tf_scopes.py | |
foo_name_scoped : | |
v.name= v:0 | |
v2.name= foo_name_scoped/v2:0 | |
a.name= Variable:0 | |
b.name= Variable_1:0 | |
result_op.name= foo_name_scoped/Add:0 | |
foo_op_scoped : |
<?xml version="1.0" encoding="UTF-8"?> | |
<!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
<plist version="1.0"> | |
<dict> | |
<key>Label</key> | |
<string>docker.sock</string> | |
<!-- This file should be ~/Library/LaunchAgents/docker.sock.plist --> | |
<!-- Start with: launchctl load ~/Library/LaunchAgents/docker.sock.plist --> | |
<!-- Configure jetbrains with tcp://localhost:2375 --> |
Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.
This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would