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

   stackoverflow.com › questions › 18946662

   Sep 23, 2013 · That site does not claim PyPy is 6.3 times faster than CPython. To quote: The geometric average of all benchmarks is 0.16 or 6.3 times faster than CPython. This is a very different statement to the blanket statement you made, and when you understand the difference, you'll understand at least one set of reasons why you can't just say "use PyPy ...

2. realpython.com › pypy-faster-pythonPyPy: Faster Python With Minimal Effort – Real Python

   realpython.com › pypy-faster-python

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   The examples in this tutorial use Python 3.6 since that’s the latest version of Python that PyPy is compatible with. Python and PyPy. The Python language specification is used in a number of implementations such as CPython (written in C), Jython (written in Java), IronPython (written for .NET), and PyPy (written in Python).

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4. pypy.org › posts › 2011PyPy faster than C on a carefully crafted example | PyPy

   pypy.org › posts › 2011

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   Feb 4, 2011 · Pypy isn't faster than C, even on this example for multiple reasons: First it's conceptual: C is almost as optimized as assembly (it's often referred to as a super assembler) so even if Pypy ends-up generating some assembly code, it has first to evaluate the runtime environment to figure out the type of variables and emit assembly code, and all this process is not free... so Pypy can only ...

   • Author: Maciej Fijalkowski

5. www.infoworld.com › article › 2259928What is PyPy? Faster Python without pain - InfoWorld

   www.infoworld.com › article › 2259928

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   Aug 2, 2023 · The Python 2 branch of PyPy has been around much longer, but the Python 3 version has been brought up to speed as of late. It currently supports versions of Python up to 3.9, with Python 3.10 ...

6. doc.pypy.org › en › latestFrequently Asked Questions — PyPy documentation

   doc.pypy.org › en › latest

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   3 days ago · It is often faster to take out your c-extension and replace it with a pure python or CFFI version that the JIT can optimize. If trying to install module xyz, and the module has both a C and a Python version of the same code, try first to disable the C version; this is usually easily done by changing some line in setup.py.

7. pypy.orgPyPy

   pypy.org

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   On average, PyPy is 4.4 times faster than CPython 3.7. We currently support python 3.10 and 2.7. PyPy (with JIT) benchmark times normalized to CPython. Smaller is better. Based on the geometric average of all benchmarks "... we are avid fans of PyPy and commensurately thankful for the great work by the PyPy team over the years.

8. 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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   What is the difference between CPython and PyPy?

   • Whereas CPython compiles Python to intermediate bytecode that is then interpreted by a virtual machine, PyPy uses just-in-time (JIT) compilation to translate Python code into machine-native assembly language. Depending on the task being performed, the performance gains can be dramatic.

   What is PyPy? Faster Python without pain - InfoWorld

   www.infoworld.com/article/2259928/what-is-pypy-faster-python-without-pain.html

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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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   Is PyPy a compiler?

   • It compiles Python code, but it isn’t a compiler for Python code. Because of the inherent dynamism of Python, it’s impossible to compile Python into a standalone binary and reuse it. PyPy is a runtime interpreter that is faster than a fully interpreted language, but it’s slower than a fully compiled language such as C.

   PyPy: Faster Python With Minimal Effort – Real Python

   realpython.com/pypy-faster-python/

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   Why is CPython better than compiled Python?

   • Specifically, Python is first compiled into an intermediate bytecode, which is then interpreted by CPython. This makes the code perform better than code written in a purely interpreted programming language, and it maintains the portability advantage. However, the performance is still nowhere near that of the compiled version.

   PyPy: Faster Python With Minimal Effort – Real Python

   realpython.com/pypy-faster-python/

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   Why is PyPy not compatible with CPython?

   • A: PyPy isn't 100% compatible with CPython because it isn't simulating CPython under the hood. 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.

   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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9. discuss.python.org › t › is-pypy-often-faster-than-cIs PyPy often faster than C - Python Help - Discussions on ...

   discuss.python.org › t › is-pypy-often-faster-than-c

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   Nov 10, 2020 · As far as PyPy versus C goes, it is not "PyPy programmer versus C. programmer" which matters, it is PyPy JIT compiler versus C compiler" that matters. A lousy C compiler will produce lousy code. An excellent C. compiler with lots of optimizations will be faster than nearly anything. PyPy can do, with a few carefully crafted exceptions. PyPy ...