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What is the fundamental difference between an assembler and a compiler? Assembler. Little/no checks beyond basic syntax correctness. Syntactically correct programs are not rejected. No transformation (beyond macro expansion). Simple translation (table lookup of instruction encoding). Can produce invalid machine code (if fed bad input).
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Jun 25, 2024 · Efficiency: Compiling to byte code improves performance over pure interpretation. Ease of Use: Python retains the flexibility and ease of debugging of an interpreted language. With this understanding of compilers and interpreters, we’re ready to explore Python byte code in more detail.
May 10, 2021 · Bytecode allows a single compiled binary to run, and perform with almost native efficiency, on a diverse array of platforms. Machine code (binary code) is in binary (0’s and 1’s) format which is completely different from the byte code and source code.
- 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...
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.
Sep 8, 2020 · Byte code is a non-runnable code after it is translated by an interpreter into machine code then it is understandable by the machine. It is compiled to run on JVM, any system congaing JVM can run it irrespective of their Operating System. That’s why Java is platform-independent. Byte code is referred to as a Portable code.
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Mar 5, 2020 · Understanding Python’s bytecode allows you to get familiar with the low-level implementation of the Python compiler and virtual machine. If you know how your source code is converted to the bytecode, you can make better decisions about writing and optimizing your code.
