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Dbmail is as scalable as the database system used for storing mails and attachments. Currently MySQL, PostgreSQL and SQLite can be used as storage backends. A normal MTA (Postfix, SendMail, QMail, Exim) is used for accepting messages and forwards to DBMail which in turn stores it in database. Messages stored could be retrieved using POP3 and IMAP protocol.
Cython is a language that makes writing C extensions for the Python language as easy as Python itself. It is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. It gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point.
Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers. Using this package you can script .NET applications or build entire applications in Python, using .NET services and components written in any language that targets the CLR (Managed C++, C#, VB, JScript).
ffpython is a c++ lib,which is to simplify embedding python and extend python. For example, call python function, register c++ function to python, register c++ class to python, on one implement c++ header file.
PyCXX is a set of classes to help create extensions of Python in the C++ language. The first part encapsulates the Python C API taking care of exceptions and ref counting. The second part supports the building of Python extension modules in C++.
The existing three LevelDB interfaces (py-leveldb, cpy-leveldb, plyvel) use the Python C API and compile Python modules that work with LevelDB's C++ interface. This Python module simply uses the ctypes library to LevelDB's C interface - making it more portable across Python implementations and easier to install and distribute.
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
Personal----These are released, but are geared towards personal use; as such, they may be buggy or be of very limited use.* [exceptionpp](https://github.com/cripplet/exceptionpp) -- personal C++ exception library* [django_iin_lookup](https://github.com/cripplet/django_iin_lookup) -- look up credit card brand and stuff, given the first six digits of a credit cardIn Progress----Very buggy, currently in active development.* [spp](https://github.com/cripplet/spp) -- C++ scheduling engine* [courses](
PyKafka is a cluster-aware Kafka>=0.8.2 client for Python. It includes Python implementations of Kafka producers and consumers, which are optionally backed by a C extension built on librdkafka, and runs under Python 2.7+, Python 3.4+, and PyPy.PyKafka's primary goal is to provide a similar level of abstraction to the JVM Kafka client using idioms familiar to Python programmers and exposing the most Pythonic API possible.
The `bp_magic.py` extension---------------------------This notebook is all about mixing C++ and Python code. To support that, I developed an IPython extension that knows how to compile C++ code blocks into either shared library extension modules or into standalone programs. This extension is called `bp_magic` (for "boost python magic"), and it needs to be loaded prior to executing any of the C++ code blocks. If you execute the notebook linearly, the extension is loaded in time.As of this writing