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Oct 3, 2017 · You can get that from an existing function f using f.func_code. If you are modifying the bytecode you will need to create a new code object to contain it. Its type can be obtained using type() as with the function and doing a help() on the type will tell you what you need to pass in.
- 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...
Apr 24, 2024 · Viewing Python Bytecode. You can view the bytecode of a Python function using the dis module, which provides a disassembler for Python bytecode. Here's an example: import dis def add_numbers(a, b): return a + b dis.dis(add_numbers)
Here's how to view the bytecode of a Python function. def fib(n): if n <= 2: return 1 return fib(n-1) + fib(n-2) # Display the disassembled bytecode of the function. The function dis.dis in the dis module will return a decompiled bytecode of the function passed to it.
Here's how to view the bytecode of a Python function. import dis. def fib(n): if n <= 2: return 1. return fib(n-1) + fib(n-2) # Display the disassembled bytecode of the function. dis.dis(fib) The function dis.dis in the dis module will return a decompiled bytecode of the function passed to it.
Jun 6, 2024 · Understanding these common instructions and how they are used in different Python constructs can significantly enhance your ability to analyze bytecode and gain deeper insights into the inner workings of Python.
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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.
