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1. • • The byte code (.pyc files) can be executed faster if the original script hasn’t changed, thereby speeding up the script’s start time. The Python interpreter, more specifically, the Python Virtual Machine (PVM), interprets this byte code. It reads the byte code and carries out the instructed operations.
     graycode.ie/blog/is-python-compiled-or-interpreted-understanding-pythons-unique-process/

     Is Python Compiled or Interpreted? Understanding Python’s ...

2. stackoverflow.com › questions › 6889747Is Python interpreted, or compiled, or both? - Stack Overflow

   stackoverflow.com › questions › 6889747

   Python automatically compiles your script to compiled code, so called byte code, before running it. Running a script is not considered an import and no .pyc will be created. For example, if you have a script file abc.py that imports another module xyz.py, when you run abc.py, xyz.pyc will be created since xyz is imported, but no abc.pyc file ...

3. medium.com › @skuznetsov › understanding-python-byteUnderstanding Python Byte-code and Decompilation: A ... - Medium

   medium.com › @skuznetsov › understanding-python-byte

   Mar 18, 2024 · This detailed explanation highlights the intricate process of decompiling Python byte-code, illustrating the algorithm's capability to accurately reconstruct the original source code,...

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5. opensource.com › article › 18An introduction to Python bytecode - Opensource.com

   opensource.com › article › 18

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   Apr 23, 2018 · Learn what Python bytecode is, how Python uses it to execute your code, and how knowing what it does can help you.

6. www.geeksforgeeks.org › generate-byte-code-file-pythonHow to generate byte code file in python - GeeksforGeeks

   www.geeksforgeeks.org › generate-byte-code-file-python

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   Mar 7, 2024 · Byte Code is automatically created in the same directory as .py file, when a module of python is imported for the first time, or when the source is more recent than the current compiled file. Next time, when the program is run, python interpreter use this file to skip the compilation step.

7. medium.com › @yuxuzi › decoding-python-interpretedDecoding Python: Interpreted, Compiled, or Both? - Medium

   medium.com › @yuxuzi › decoding-python-interpreted

   Dec 30, 2023 · This deep dive explores if Python is interpreted, compiled, or uniquely both, profoundly impacting how developers approach their craft.

8. dev.to › emminex › python-bytecode-a-beginners-guidePython Bytecode: A Beginner’s Guide - DEV Community

   dev.to › emminex › python-bytecode-a-beginners-guide

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   Jun 6, 2024 · The Compilation Process. When you write Python code, it starts as a simple text file with a .py extension. But your computer doesn’t exactly understand this text directly. That’s where the compilation process comes in. Now, let’s explore how compilation works: Source Code: You write your Python program in a plain text file, like my_program.py.

9. People also ask

   When is byte code created in Python?

   • Byte Code is automatically created in the same directory as .py file, when a module of python is imported for the first time, or when the source is more recent than the current compiled file. Next time, when the program is run, python interpreter use this file to skip the compilation step.

   How to generate byte code file in python - GeeksforGeeks

   www.geeksforgeeks.org/generate-byte-code-file-python/

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   Why is Python compiled to bytecode?

   • It's compiled to bytecode which can be used much, much, much faster. The reason some files aren't compiled is that the main script, which you invoke with python main.py is recompiled every time you run the script. All imported scripts will be compiled and stored on the disk. Important addition by Ben Blank:

   compilation - Why compile Python code? - Stack Overflow

   stackoverflow.com/questions/471191/why-compile-python-code

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   Why do we use bytecode instead of Python?

   • Python is compiled to a .pyc file once and then interpreted from it multiple times. This reduces the overhead of parsing the source code once. Interpreting directly from bytecode is faster and avoids the need for lexing.

   Why python compile the source to bytecode before interpreting?

   stackoverflow.com/questions/888100/why-python-compile-the-source-to-bytecode-before-interpreting

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   How does Python interpret byte code in a pre-compiled Python file?

   • @KorayTugay, when python.exe is given human readable text source code, it first produces optimized byte code, then interprets that (as you say); however, when there is already a byte code file (pre-compiled), it doesn't have to do the first step, which saves some time. The answer depends on what implementation of python is being used.

   Is Python interpreted, or compiled, or both? - Stack Overflow

   stackoverflow.com/questions/6889747/is-python-interpreted-or-compiled-or-both

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   How byte-code is interpreted in Python?

   • 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 instruction in the byte-code and executes whatever operation is indicated.

   How to generate byte code file in python - GeeksforGeeks

   www.geeksforgeeks.org/generate-byte-code-file-python/

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   Does Python create a bytecode if a library is imported?

   • Python does create .pyc files (so-called byecode) whenever a library is imported. AFAIK the bytecode can only speed up load times, not execution times. @aitchnyu: Caching the bytecode in .pyc files only speeds up loading indeed, but only becase the Python code is compiled to bytecode before execution anyway.

   Is Python interpreted, or compiled, or both? - Stack Overflow

   stackoverflow.com/questions/6889747/is-python-interpreted-or-compiled-or-both

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10. pydiary.com › posts › runtimePython Bytecode Explained: How Your Code is Executed

    pydiary.com › posts › runtime

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    Feb 25, 2024 · Understanding Bytecode is like having a backstage pass to a Python performance. It offers insights into: Efficiency: By examining Bytecode, you can pinpoint bottlenecks in your code. Portability: Bytecode is why Python code can run across platforms without modification.