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1. stackoverflow.com › questions › 18946662Why shouldn't I use PyPy over CPython if PyPy is 6.3 times ...

   stackoverflow.com › questions › 18946662

   Sep 23, 2013 · They claim it is 6.3 times faster than the CPython interpreter on their site. Whenever we talk about dynamic languages like Python, speed is one of the top issues. To solve this, they say PyPy is 6.3 times faster. The second issue is parallelism, the infamous Global Interpreter Lock (GIL). For this, PyPy says it can give GIL-less Python.

2. doc.pypy.org › en › latestDifferences between PyPy and CPython

   doc.pypy.org › en › latest

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   Note that if you have a long chain of objects, each with a reference to the next one, and each with a __del__, PyPy’s GC will perform badly. On the bright side, in most other cases, benchmarks have shown that PyPy’s GCs perform much better than CPython’s. Another difference is that if you add a __del__ to an existing class it will not be ...

3. python.plainenglish.io › cpython-vs-pypy-7443aa12879dCPython vs PyPy. The Python world is a bizarre thing… | by ...

   python.plainenglish.io › cpython-vs-pypy-7443aa12879d

   Mar 16, 2024 · Choosing Between CPython and PyPy. For General Use: CPython is often the best choice due to its compatibility and the vast ecosystem of libraries and tools. For Performance-Sensitive Applications: PyPy can be a better choice if your application can benefit from JIT compilation, especially if it is long-running and computationally intensive.

4. www.reddit.com › r › learnprogrammingHow is PyPy more performant than CPython? Shouldn't ... - Reddit

   www.reddit.com › r › learnprogramming

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   You're not supposed to understand it after reading a few paragraphs. Nevertheless, I'll try to give a quick high-level explanation. Your computer processor speaks a very specific language called machine code. If you have a modern Intel processor, it specifically speaks a dialect of x86-64 machine code. Your phone speaks ARM machine code.

5. github.com › pypy › docpypy/pypy/doc/cpython_differences.rst at main - GitHub

   github.com › pypy › doc

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   Note that if you have a long chain of objects, each with a reference to the next one, and each with a __del__, PyPy's GC will perform badly. On the bright side, in most other cases, benchmarks have shown that PyPy's GCs perform much better than CPython's. Another difference is that if you add a __del__ to an existing class it will not be called:

6. hackernoon.com › analyzing-python-compilers-cAnalyzing Python Compilers: CPython Vs. Cython Vs. PyPy

   hackernoon.com › analyzing-python-compilers-c

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   Aug 19, 2021 · that makes JIT compilers work much faster than the raw interpreters. PyPy also consumes lesser memory at run time and hence has an advantage over raw Python interpreters. You might want to understand the fact that while PyPy gives performance. gains and memory advantages, it is not always true. JIT compilers have.

7. People also ask

   Is PyPy faster than CPython?

   • They claim it is 6.3 times faster than the CPython interpreter on their site. Whenever we talk about dynamic languages like Python, speed is one of the top issues. To solve this, they say PyPy is 6.3 times faster. The second issue is parallelism, the infamous Global Interpreter Lock (GIL). For this, PyPy says it can give GIL-less Python.

   Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

   stackoverflow.com/questions/18946662/why-shouldnt-i-use-pypy-over-cpython-if-pypy-is-6-3-times-faster

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   Does PyPy run on CPython?

   • PyPy is written in Restricted Python. It does not run on top of the CPython interpreter, as far as I know. Restricted Python is a subset of the Python language. AFAIK, the PyPy interpreter is compiled to machine code, so when installed it does not utilize a python interpreter at runtime.

   PyPy -- How can it possibly beat CPython? - Stack Overflow

   stackoverflow.com/questions/2591879/pypy-how-can-it-possibly-beat-cpython

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   What is the difference between CPython and PyPy?

   • The above is true both in CPython and in PyPy. Differences can occur about whether a built-in function or method will call an overridden method of another object than self. In PyPy, they are often called in cases where CPython would not. Two examples: Consider the following snippet of code:

   Differences between PyPy and CPython — PyPy documentation

   doc.pypy.org/en/latest/cpython_differences.html

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   What is the difference between Python and Cython?

   • Cython vs. Python debate gets to the next level because of speed gains too. It is also worth noting that the speed gains from Cython programs are up to 15x compared to the raw python code interpreted using CPython (the default interpreter). What is PyPy? PyPy works on the Just in Time compilation principle.

   Analyzing Python Compilers: CPython Vs. Cython Vs. PyPy

   hackernoon.com/analyzing-python-compilers-cpython-vs-cython-vs-pypy-qid735s6

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   Is CPython 3.4 better than PyPy3?

   • Since CPython 3.4 the picture is more muddy. Often, the weakref is still alive while x.__del__() runs, but not always (e.g. not in case of reference cycles). In PyPy3 we have kept the more consistent pre-3.4 behavior; we can’t do something really different if there are cycles or not. There are a few extra implications from the difference in the GC.

   Differences between PyPy and CPython — PyPy documentation

   doc.pypy.org/en/latest/cpython_differences.html

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   Why do some programs still depend on CPython?

   • Some programs may still depend on CPython's unique features that are absent in PyPy such as C bindings, C implementations of Python object&methods, or the incremental nature of CPython's garbage collector. This answer does not cite any benchmarks or provide references.

   Why shouldn't I use PyPy over CPython if PyPy is 6.3 times faster?

   stackoverflow.com/questions/18946662/why-shouldnt-i-use-pypy-over-cpython-if-pypy-is-6-3-times-faster

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8. medium.com › @boutnaru › python-cpython-vs-pypy-c2cePython — CPython vs PyPy. The most used reference ... - Medium

   medium.com › @boutnaru › python-cpython-vs-pypy-c2ce

   Sep 19, 2022 · Moreover, you should remember that PyPy is not a “Python Compiler” and does not support AOT (a head of time compilation). If you want to learn more about a “Python Compiler” checkout ...