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  1. Jun 1, 2013 · __pycache__ is a directory that contains bytecode cache files that are automatically generated by python, namely compiled python, or .pyc, files. You might be wondering why Python, an "interpreted" language, has any compiled files at all.

  2. Mar 7, 2024 · Whenever the Python script compiles, it automatically generates a compiled code called as byte code. The byte-code is not actually interpreted to machine code, unless there is some exotic implementation such as PyPy. The byte-code is loaded into the Python run-time and interpreted by a virtual machine, which is a piece of code that reads each ...

    • How Python Works
    • Inside The Python Virtual Machine
    • Accessing and Understanding Python Bytecode
    • Putting Bytecode to Use
    • Further Reading

    Python is often described as an interpreted language—one in which your source code is translated into native CPU instructions as the program runs—but this is only partially correct. Python, like many interpreted languages, actually compiles source code to a set of instructions for a virtual machine, and the Python interpreter is an implementation o...

    CPython uses a stack-based virtual machine. That is, it's oriented entirely around stack data structures (where you can "push" an item onto the "top" of the structure, or "pop" an item off the "top"). CPython uses three types of stacks: 1. The call stack. This is the main structure of a running Python program. It has one item—a "frame"—for each cur...

    If you want to play around with this, the dis module in the Python standard library is a huge help; the dis module provides a "disassembler" for Python bytecode, making it easy to get a human-readable version and look up the various bytecode instructions. The documentation for the dis modulegoes over its contents and provides a full list of bytecod...

    Now that you've read this far, you might be thinking "OK, I guess that's cool, but what's the practical value of knowing this?" Setting aside curiosity for curiosity's sake, understanding Python bytecode is useful in a few ways. First, understanding Python's execution model helps you reason about your code. People like to joke about C being a kind ...

    If you'd like to learn more about Python bytecode, the Python virtual machine, and how they work, I recommend these resources: 1. Inside the Python Virtual Machineby Obi Ike-Nwosu is a free online book that does a deep dive into the Python interpreter, explaining in detail how Python actually works. 2. A Python Interpreter Written in Pythonby Allis...

  3. 2 days ago · Compile a source file to byte-code and write out the byte-code cache file. The source code is loaded from the file named file . The byte-code is written to cfile , which defaults to the PEP 3147 / PEP 488 path, ending in .pyc .

  4. Feb 25, 2024 · Step 1: Compilation. The journey begins with the Python compiler, which takes your script and compiles it into Bytecode. This Bytecode is then stored in .pyc files within the __pycache__ directory, waiting for its turn to be executed by the Python interpreter.

  5. Mar 5, 2020 · CPython compiles the python source code into the bytecode, and this bytecode is then executed by the CPython virtual machine. Generating bytecode files. In Python, the bytecode is stored in a .pyc file. In Python 3, the bytecode files are stored in a folder named __pycache__.

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  7. Jun 6, 2024 · You can use the dis module to view and analyze bytecode, gaining insights into how Python translates your code into instructions. By understanding common bytecode instructions and their role in basic Python constructs like loops and conditionals, you can optimize your code for better performance.

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