Download Python Download Free – 3.12.2

Python is an interpreted, interactive, object-oriented programming language. It contains modules, exceptions, dynamic typing, very high-level dynamic data types, and classes. It supports several programming paradigms beyond object-oriented programming, such as procedural and functional programming.

Python combines remarkable power with very clear syntax. It interfaces to many system calls and libraries, as well as to various windowing systems, and can be extended in C or C++. It is also usable as an extension language for applications that need a programmable interface. Finally, Python is portable: it runs on many Unix variants, including Linux and macOS, and on Windows.

Characteristics

• Very clear, readable syntax
• Strong introspection skills
• Intuitive object orientation
• Natural expression of procedural code
• Full modularity, supports hierarchical packages
• Exception-based error handling
• Very high-level dynamic data types
• Extensive standard libraries and third-party modules for virtually any task
• Extensions and modules are easily written in C, C++ (or Java for Jython, or .NET language for IronPython)
• Can be built into applications as a scripting interface

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. Language itself is a flexible powerhouse that can handle virtually 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 metaclasses, 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. The traditional implementation of CPython uses a bytecode virtual machine; PyPy supports just-in-time (JIT) compilation to machine code. Jython and IronPython (see below) also support JIT compilation on their respective virtual machine implementations.

Python plays well with others

Python can be integrated 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 can’t do, or if you need the performance benefit of low-level code, you can write extension modules in C or C++, or package existing code with SWIG or Boost.Python. Wrapped modules appear to your program exactly as native Python code. It’s language integration made easy. You can also go the other way and embed Python in your own application, giving your users a language they will 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 and the Java Virtual Machine. You’ll be happy to know that the same source code will run unchanged across all implementations.

Is your favorite system not listed here? It can still support Python if there is a C compiler for it. Ask around at news:comp.lang.python – or just try compiling Python yourself.

Python is friendly… and easy to learn

The Python newsgroup is known as one of the friendliest around. The avid developer and user community maintains a wiki, hosts international and local conferences, runs development sprints, and contributes to online code repositories.

Python also comes with complete documentation, both integrated into the language and as separate web pages. Online tutorials are aimed at both the experienced programmer and the newcomer. All are designed to get you productive quickly. The availability of first class books completes the learning package.

Python is open source

The Python implementation is under an open source license which makes it freely usable and redistributable, even for commercial use. The Python license is administered by the Python Software Foundation.

Take a look at application domains where Python is used, or try the current download yourself.

What is new

Python 3.12 is the latest major release of the Python programming language, and it includes many new features and optimizations. 3.12.2 is the latest maintenance release, containing more than 350 bug fixes, build improvements, and documentation changes since 3.12.1.

Major new features in the 3.12 series, compared to 3.11

New functions

• More flexible f-string parsing, allowing many things previously not allowed (PEP 701).
• Support for the buffer protocol in Python code (PEP 688).
• A new debugging/profiling API (PEP 669).
• Support for isolated subinterpreters with separate Global Interpreter Locks (PEP 684).
• Even more improved error messages. Several exceptions potentially caused by typos now provide suggestions to the user.
• Support for Linux perf profiles to report Python function names in traces.
• Lots of big and small performance improvements (like PEP 709 and support for the BOLT binary optimizer), giving an estimated 5% overall performance improvement.

Enter notes

• New type of annotation syntax for generic classes (PEP 695).
• New overriding decorator for methods (PEP 698).

Depreciation

• The deprecated wstr and wstr_length members in the C implementation of unicode objects were removed, per PEP 623.
• In the unittest module, a number of outdated methods and classes were removed. (They had been deprecated since Python 3.1 or 3.2).
• The deprecated smtpd and distutils modules have been removed (see PEP 594 and PEP 632. The setuptools package continues to provide the distutils module.
• A number of other old, broken and deprecated functions, classes and methods have been removed.
• Invalid backslash escape sequences in strings now warn with SyntaxWarning instead of DeprecationWarning, making them more visible. (They will become syntax errors in the future.)
• The internal representation of integers has changed in preparation for performance improvements. (This shouldn’t affect most users since it’s an internal detail, but it can cause problems for Cython-generated code.)