Machine Learning With Python Machine learning (ML) teaches machines how to carry out tasks by themselves. It is that simple. The answer is No.
Setting up Django with Nginx, Gunicorn, virtualenv, supervisor and PostgreSQL - Michał Karzyński Django is an efficient, versatile and dynamically evolving web application development framework. When Django initially gained popularity, the recommended setup for running Django applications was based around Apache with mod_wsgi. The art of running Django advanced and these days the recommended configuration is more efficient and resilient, but also more complex and includes such tools as: Nginx, Gunicorn, virtualenv, supervisord and PostgreSQL. In this text I will explain how to combine all of these components into a Django server running on Linux.
Frameworks, microframeworks, too many choices
SampleApps - google-api-python-client - Google APIs Client Library for Python Ad Exchange Buyer API Lets you manage your Ad Exchange Buyer account. Documentation for the Ad Exchange Buyer API in PyDoc
Creating a development environment using virtualenv(wrapper) and pip Creating a Development Environment with pip and virtualenv · zookeepr/zookeepr Wiki
mnot/thor at spdy
CoderBuddy - Create and Publish Apps and Free Web Sites to Google App Engine Easily
Machine Vision made Easy - SimpleCV
1.1. Preparation Install following stuff: 1. Kay tutorial — Kay v1.1.0 documentation
Kay is a web framework made specifically for Google App Engin The basic design of Kay is based on the Django framework, like middleware, settings and pluggable application, etc. Kay uses Werkzeug as lower level framework, Jinja2 as template engine, and babel for handling language translations. This software is distributed under BSD license. kay-framework - A web framework made specifically for Google App Engine
Welcome to Flask’s documentation. This documentation is divided into different parts. Welcome to Flask — Flask v0.8-dev documentation
Python & semantic
"Python API, Documents and Stuff" Python Wrapper
Python Kinect Webserver
Resources These are some representative external resources. The list includes tools that complement Graphviz, such as graph generators, postprocessors and interactive viewers. It also includes higher level systems and web sites that rely on Graphviz as a visualization service.
Overview — PyGraphviz v1.1 documentation
19.5. xml.parsers.expat — Fast XML parsing using Expat — Python v2.7.1 documentation Warning The pyexpat module is not secure against maliciously constructed data.
Python and XML Processing: Other Software
This is an introduction to the Python client API to AllegroGraph RDFStore™ version 4.2 from Franz Inc. The Python Sesame API offers convenient and efficient access to an AllegroGraph server from a Python-based application. This API provides methods for creating, querying and maintaining RDF data, and for managing the stored triples. Python API Tutorial for AllegroGraph 4.0
Graph Description In mathematics and computer science, graph theory studies networks of connected nodes and their properties. NodeBox | Graph
PyAIML (a.k.a. Program Y) - A Python AIML Interpreter
Creatures | City in a Bottle
Category:Programming language:Python - LiteratePrograms
trendrr/whirlwind - GitHub
Overview — Official Grok v1.2.1 documentation
JaikuEngine is a social microblogging platform that runs on AppEngine. JaikuEngine powers Jaiku.com. For the mobile client source, see: Jaiku Mobile client
visualization-python - Project Hosting on Google Code
pebl-project - Project Hosting on Google Code Update 11/15/2011 Pebl source code and issues are now hosted at http://github.com/abhik/pebl.
bayesian-inference - Project Hosting on Google Code
pypingback - Project Hosting on Google Code
App Engine Python Overview - Google App Engine - Google Code