Python的实现

The standard Python interpreter also supports an interactive mode in which it acts as a kind of shell: expressions can be entered one at a time, and the result of their evaluation is seen immediately. This is a boon for those learning the language and experienced developers alike: snippets of code can be tested in interactive mode before integrating them into a proper program. As well, the Python shell is often used to interactively perform system tasks, such as modifying files.

Python also includes a unit testing framework for creating exhaustive test suites. While static typing aficionados see this as a replacement for a static type-checking system, Python programmers largely do not share this view.

Standard Python does not support continuations, and according to Guido van Rossum, never will. However, better support for coroutine-like functionality is planned, by extending Python's generators [3]

• Python – The reference implementation, also known as CPython
• Jython – Python coded in Java

• IronPython – Python for .NET and Mono platforms

• Boo – Python-based but with static typing, for .NET and Mono
• Stackless Python - Python with coroutines
• Psyco - not an implementation, but JIT compiler for CPython

• PyPy – Python coded in Python

• Parrot – Virtual machine being developed mainly as the runtime for Perl 6, but with the intent to also support dynamic languages like Python, Ruby, Tcl, etc. Can currently execute a subset of Python
• Logix – Python alternate front-end with macros
• Movable Python- An alternative distribution of CPython for Windows. It can run off a USB stick and provides a Portable Programming Environment.