class MyModelManager(models.Manager):
def get_query_set(self):
return super(MyModelManager, self).get_query_set().filter(published=True)
class MyModel(models.Model):
# fields
# ...
objects = MyModelManager()
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The check_forensic script, which can be found in the distribution's support directory, may be helpful in evaluating the forensic log output
Syntax: ForensicLog filename|pipe
Context: server config, virtual host
filename:
A filename, relative to the ServerRoot.
pipe:
The pipe character "|", followed by the path to a program to receive the log information on its standard input. The program name can be specified relative to the ServerRoot directive.
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LoadModule dumpio_module modules/mod_dumpio.so
DumpIOOutput On
DumpIOINput On
DumpIoLogLevel debug
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>>> def outer():
... x = 1
... def inner():
... print x
... return inner
...
>>> outer()
<function inner at 0x7f7bd7ac5938>
>>> dis.dis(outer())
4 0 LOAD_DEREF 0 (x)
3 PRINT_ITEM
4 PRINT_NEWLINE
5 LOAD_CONST 0 (None)
8 RETURN_VALUE
>>> dis.dis(outer)
2 0 LOAD_CONST 1 (1)
3 STORE_DEREF 0 (x)
3 6 LOAD_CLOSURE 0 (x)
9 BUILD_TUPLE 1
12 LOAD_CONST 2 (<code object inner at 0x7f7bd7ab5300, file "<stdin>", line 3>)
15 MAKE_CLOSURE 0
18 STORE_FAST 0 (inner)
5 21 LOAD_FAST 0 (inner)
24 RETURN_VALUE
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git clone git@github.com:USER/REPO.git
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D3.js playground: D3.js console for instant d3.js gratification: change your data see the changes: http://bit.ly/1321MEj
Tutorials
http://alignedleft.com/tutorials/d3/chaining-methods/
Anna's wonderfull presentation
http://anna.ps/talks/fel/#/19
reusable charts for D3js
http://nvd3.org/
carto db for maps
http://blog.cartodb.com/post/3968010624 ... s-a-breeze
another perfect tutorial
http://christopheviau.com/d3_tutorial/
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The JavaScript InfoVis Toolkit provides tools for creating Interactive Data Visualizations for the Web.
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install pip centos
------------------
http://www.cyberciti.biz/faq/fedora-sl-centos-redhat6-enable-epel-repo/
http://www.cyberciti.biz/faq/debian-ubu ... pipclient/
yum install python-pip
echo 'alias pip="/usr/bin/pip-python"' >> $HOME/.bashrc
. $HOME/.bashr
Django Extensions
Django Extensions is a collection of custom extensions for the Django Framework.
https://github.com/django-extensions/django-extensions
add 'django_extensions' to INSTALLED_APPS
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.messages',
'django.contrib.staticfiles',
# Uncomment the next line to enable the admin:
'django.contrib.admin',
# Uncomment the next line to enable admin documentation:
# 'django.contrib.admindocs',
'django_extensions',
'django_evolution',
'essentials',
'internet',
'system',
)
install pygraphviz
pip install pygraphviz
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This is a screencast on the Django Command Extensions project. It is one of my favorite third party apps, and it gets installed in every Django environment I work in. It provides a plethora of useful manage.py commands, and a couple other little goodies as well.
https://code.djangoproject.com/wiki/DjangoGraphviz
http://ericholscher.com/blog/2008/sep/1 ... xtensions/
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Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.
Graphviz is open source graph visualization software. It has several main layout programs. See the gallery for sample layouts. It also has web and interactive graphical interfaces, and auxiliary tools, libraries, and language bindings. We're not able to put a lot of work into GUI editors but there are quite a few external projects and even commercial tools that incorporate Graphviz. You can find some of these in the Resources section.
The Graphviz layout programs take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser. (Graphviz also supports GXL, an XML dialect.)
Graphviz has many useful features for concrete diagrams, such as options for colors, fonts, tabular node layouts, line styles, hyperlinks, rolland custom shapes.
In practice, graphs are usually generated from an external data sources, but they can also be created and edited manually, either as raw text files or within a graphical editor. (Graphviz was not intended to be a Visio replacement, so it is probably frustrating to try to use it that way.)
http://code.google.com/p/pydot/
http://www.graphviz.org/Download_linux_rhel.php
cd /etc/yum.repos.d
wget http://www.graphviz.org/graphviz-rhel.repo
yum list available 'graphviz*'
yum install 'graphviz*'
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