Python
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web2py Web Framework
Everything you need in one package including fast multi-threaded web server, SQL database and web-based interface. No third party dependencies but works with third party tools .
Home | Features | Download | Compatibility | Performance | Dev Documentation | Blog | People | Contact | Py3k donations | NumPy donations | STM/AME donations Compatibility: PyPy is highly compatible with existing python code.
PyPy :: PyPy
CoderBuddy - Create and Publish Apps and Free Web Sites to Google App Engine Easily
Coderbuddy helps you create websites and applications, and easily publish them to Google’s hosting service called App Engine .
Machine Vision made Easy - SimpleCV
SimpleCV is a open source python framework to several powerful open source computer vision libraries in a single convenient package. With it, your software can have access to high level algorithms in feature detection, filtering, and pattern recognition in a unified framework. Forget about bit depths, file formats, color spaces, buffer management, eigenvalues, and matrix vs bitmap storage.If you use released stable version, you can download the latest released tarball from http://code.google.com/p/kay-framework/downloads/list and unpack it as follows: To start a new project, you can use manage.py script offered by Kay for creating a skelton of your project. After that, you’re supposed to use a newly created manage.py script in the project directory for managing this project(including deployment, testing, i18n translation work, etc, etc..).
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 - Google Project Hosting
What is the difference between Pyramid and Pylons-the-web-framework? Pyramid is a new web framework. It doesn’t “share any DNA” with Pylons 1.0.
Pyramid FAQ — The Pylons Project Documentation Site
Welcome to Flask’s documentation. This documentation is divided into different parts.
Welcome to Flask — Flask v0.8-dev documentation
Database interface
Learning
GUI
Packages
python
Python & semantic
Django
Resources | Graphviz - Graph Visualization Software
't't't't These are some representative external resources. The list includes tools that complement Graphviz, such as graph generators, postprocessors and interactive viewers.Overview — PyGraphviz v1.1 documentation
PyGraphviz is a Python interface to the Graphviz graph layout and visualization package. With PyGraphviz you can create, edit, read, write, and draw graphs using Python to access the Graphviz graph data structure and layout algorithms. PyGraphviz is independent from NetworkX but provides a similar programming interface.19.5. xml.parsers.expat — Fast XML parsing using Expat — Python v2.7.1 documentation
New in version 2.0. The xml.parsers.expat module is a Python interface to the Expat non-validating XML parser.Other Software There is a survey of Python/XML software in The State of the Python-XML Art , by Uche Ogbuji, with updates in subsequent articles in the Python & XML column. tmproc
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
In mathematics and computer science, graph theory studies networks of connected nodes and their properties. A graph can be used to visualize related data, or to find the shortest path from one node to another node for example. The NodeBox Graph library includes algorithms from NetworkX for betweenness centrality and eigenvector centrality, Connelly Barnes' implementation of Dijksta shortest paths ( here ) and the spring layout for JavaScript by Aslak Hellesoy and Dave Hoover ( here ).