Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java.

About Python

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java.

Some of its key distinguishing features include:

* very clear, readable syntax
* strong introspection capabilities
* intuitive object orientation
* natural expression of procedural code
* full modularity, supporting hierarchical packages
* exception-based error handling
* very high level dynamic data types
* extensive standard libraries and third party modules for virtually every task
* extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython)
* embeddable within applications as a scripting interface

Python is a programming language that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.

Python runs on Windows, Linux/Unix, Mac OS X, and has been ported to the Java and .NET virtual machines.

Python is free to use, even for commercial products, because of its OSI-approved open source license.

The Python Software Foundation holds the intellectual property rights behind Python, underwrites the PyCon conference, and funds other projects in the Python community.

Python is powerful... and fast

Fans of Python use the phrase "batteries included" to describe the standard library, which covers everything from asynchronous processing to zip files. The language itself is a flexible powerhouse that can handle practically any problem domain. Build your own web server in three lines of code. Build flexible data-driven code using Python's powerful and dynamic introspection capabilities and advanced language features such as meta-classes, duck typing and decorators.

Python lets you write the code you need, quickly. And, thanks to a highly optimized byte compiler and support libraries, Python code runs more than fast enough for most applications.

Python plays well with others

Python can integrate with COM, .NET, and CORBA objects.

For Java libraries, use Jython, an implementation of Python for the Java Virtual Machine.

For .NET, try IronPython , Microsoft's new implementation of Python for .NET, or Python for .NET.

Python is also supported for the Internet Communications Engine (ICE) and many other integration technologies.

If you find something that Python cannot do, or if you need the performance advantage of low-level code, you can write extension modules in C or C++, or wrap existing code with SWIG or Boost.Python. Wrapped modules appear to your program exactly like native Python code. That's language integration made easy. You can also go the opposite route and embed Python in your own application, providing your users with a language they'll enjoy using.

Python runs everywhere

Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. There are even versions that run on .NET, the Java virtual machine, and Nokia Series 60 cell phones. You'll be pleased to know that the same source code will run unchanged across all implementations.

Your favorite system isn't listed here? It may still support Python if there's a C compiler for it. Ask around on news:comp.lang.python - or just try compiling Python yourself.

New Release
New syntax features:

* New yield from expression for generator delegation.
* The u'unicode' syntax is accepted again for str objects.

New library modules:

* faulthandler (helps debugging low-level crashes)
* ipaddress (high-level objects representing IP addresses and masks)
* lzma (compress data using the XZ / LZMA algorithm)
* unittest.mock (replace parts of your system under test with mock objects)
* venv (Python virtual environments, as in the popular virtualenv package)

New built-in features:

* Reworked I/O exception hierarchy.

Implementation improvements:

* Rewritten import machinery based on importlib.
* More compact unicode strings.
* More compact attribute dictionaries.

Significantly Improved Library Modules:

* C Accelerator for the decimal module.
* Better unicode handling in the email module (provisional).

Security improvements:

* Hash randomization is switched on by default.
[ Python release history ]

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