Jython is an implementation of the high-level, dynamic, object-oriented
language Python seamlessly integrated with the Java platform. The
predecessor to Jython, JPython, is certified as 100% Pure Java. Jython
is freely available for both commercial and noncommercial use and is
distributed with source code. Jython is complementary to Java and is
especially suited for the following tasks: Embedded scripting--Java
programmers can add the Jython libraries to their system to allow end
users to write simple or complicated scripts that add functionality to
the application. Interactive experimentation--Jython provides an
interactive interpreter that can be used to interact with Java packages
or with running Java applications. This allows programmers to
experiment and debug any Java system using Jython. Rapid application
development--Python programs are typically 2-10X shorter than the
equivalent Java program. This translates directly to increased
programmer productivity. The seamless interaction between Python and
Java allows developers to freely mix the two languages both during
development and in shipping products.

Coverage.py measures code coverage, typically during test execution. It uses
the code analysis tools and tracing hooks provided in the Python standard
library to determine which lines are executable, and which have been executed.

The Django Debug Toolbar is a configurable set of panels that display various debug information about the current request/response and when clicked, display more details about the panel's content.

Currently, the following panels have been written and are working:
- Django version;
- Request timer;
- A list of settings in settings.py;
- Common HTTP headers;
- GET/POST/cookie/session variable display;
- Templates and context used, and their template paths;
- SQL queries including time to execute and links to EXPLAIN each query;
- Logging output via Python's built-in logging module.

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A graphical interface that lets you easily analyze and introspect unaltered running Python processes.

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This library was written to aid in the implementation of HTTP Digest Authentication for Python web frameworks.

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This package contains a generic transaction implementation for Python. It is
mainly used by the ZODB, though.

Note that the data manager API, transaction.interfaces.IDataManager, is
syntactically simple, but semantically complex. The semantics were not easy to
express in the interface. This could probably use more work. The semantics are
presented in detail through examples of a sample data manager in
transaction.tests.test_SampleDataManager.

virtualenv is a tool to create isolated Python environments.
The basic problem being addressed is one of dependencies and versions, and
indirectly permissions. Imagine you have an application that needs version 1
of LibFoo, but another application requires version 2. How can you use both
these applications? If you install everything into
/usr/lib/python2.4/site-packages (or whatever your platforms standard location
is), its easy to end up in a situation where you unintentionally upgrade an
application that shouldnt be upgraded.

Or more generally, what if you want to install an application and leave it be?
If an application works, any change in its libraries or the versions of those
libraries can break the application.

Also, what if you cant install packages into the global site-packages
directory? For instance, on a shared host.

In all these cases, virtualenv can help you. It creates an environment that
has its own installation directories, that doesnt share libraries with other
virtualenv environments (and optionally doesnt use the globally installed
libraries either).

Think about the ideal way to write a web app. Write the code to make it happen.

Coverage.py measures code coverage, typically during test execution. It uses
the code analysis tools and tracing hooks provided in the Python standard
library to determine which lines are executable, and which have been executed.

A graphical interface that lets you easily analyze and introspect unaltered running Python processes.

LONG DESCRIPTION
GOES
HERE

This package contains a generic transaction implementation for Python. It is
mainly used by the ZODB, though.

Note that the data manager API, transaction.interfaces.IDataManager, is
syntactically simple, but semantically complex. The semantics were not easy to
express in the interface. This could probably use more work. The semantics are
presented in detail through examples of a sample data manager in
transaction.tests.test_SampleDataManager.

Non free or non open source parts of openSUSE 13.2

This project contains package sources dropped in the main openSUSE distribution (aka Factory).