Python is a powerful, open-source programming language that has become increasingly popular for all sorts of projects, from web development to scientific research. Developed by the Python Software Foundation, this Windows 7 software is compatible with a wide variety of operating systems and comes with an extensive library of tools and modules, making it an invaluable resource for developers and engineers alike. With easy-to-read syntax and a huge community of users, Python is truly a must-have for anyone looking to enter the world of programming. Download it now and see what it can do for you!

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
Security:
gh-145986: xml.parsers.expat: Fixed a crash caused by unbounded C recursion when converting deeply nested XML content models with ElementDeclHandler(). This addresses CVE 2026-4224.
gh-145599: Reject control characters in http.cookies.Morsel update() and js_output(). This addresses CVE 2026-3644.
gh-145506: Fixes CVE 2026-2297 by ensuring that SourcelessFileLoader uses io.open_code() when opening .pyc files.
gh-144370: Disallow usage of control characters in status in wsgiref.handlers to prevent HTTP header injections. Patch by Benedikt Johannes.
gh-143930: Reject leading dashes in URLs passed to webbrowser.open().
Core and Builtins:
gh-148157: Fix an unlikely crash when parsing an invalid type comments for function parameters. Found by OSS Fuzz in #492782951.
gh-148144: Initialize _PyInterpreterFrame.visited when copying interpreter frames so incremental GC does not read an uninitialized byte from generator and frame-object copies.
gh-146615: Fix a crash in __get__() for METH_METHOD descriptors when an invalid (non-type) object is passed as the second argument. Patch by Steven Sun.
gh-146308: Fixed several error handling issues in the _remote_debugging module, including safer validation of remote int objects, clearer asyncio task chain failures, and cache cleanup fixes that avoid leaking or double-freeing metadata on allocation failure. Patch by Pablo Galindo.
gh-146128: Fix a bug which could cause constant values to be partially corrupted in AArch64 JIT code. This issue is theoretical, and hasn’t actually been observed in unmodified Python interpreters.
gh-146250: Fixed a memory leak in SyntaxError when re-initializing it.
gh-146245: Fixed reference leaks in socket when audit hooks raise exceptions in socket.getaddrinfo() and socket.sendto().
gh-146196: Fix potential Undefined Behavior in PyUnicodeWriter_WriteASCII() by adding a zero-length check. Patch by Shamil Abdulaev.
gh-146227: Fix wrong type in _Py_atomic_load_uint16 in the C11 atomics backend (
[ Python release history ]

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