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  1. Python source code is automatically compiled into Python byte code by the CPython interpreter. Compiled code is usually stored in PYC (or PYO) files, and is regenerated when the source is updated, or when otherwise necessary.

    • Cython. Cython is a C language-based compiler written in Python and C. It is the default compiler for Python. Advantages of Cython. It is the most widely used compiler.
    • Jython. Jython is a Java-based compiler written in Python and Java. Unlike Cython, it compiles to a .class file and can be used with Java Virtual Machine.
    • PyPy. Armin Rigo developed PyPy using only Python programming language to replace the default compiler, Cython and released it in 2007. Advantages of PyPy.
    • IronPython. Jim Hugunin developed the IronPython using the language C# to integrate Python code with the .Net framework, and Mono and released it in September 2006.
  2. 2 days ago · compile (source, filename, mode, flags = 0, dont_inherit = False, optimize =-1) ¶ Compile the source into a code or AST object. Code objects can be executed by exec() or eval(). source can either be a normal string, a byte string, or an AST object.

  3. Mar 11, 2010 · The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.

  4. Write and run your Python code using our online compiler. Enjoy additional features like code sharing, dark mode, and support for multiple programming languages.

  5. 2 days ago · There are a number of IDEs that support Python programming language. Many editors and IDEs provide syntax highlighting, debugging tools, and PEP 8 checks. Please go to Python Editors and Integrated Development Environments for a comprehensive list.

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  7. Oct 7, 2024 · Python 3.13 introduces experimental free-threaded mode and JIT compiler, paving the way for improved performance and multi-core utilization while enhancing the interactive experience.

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