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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 · Q: Why can't I do drop in replacement of CPython with PyPy now? 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.

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

   doc.pypy.org › en › latest

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   3 days ago · This really depends on your code. For pure Python algorithmic code, it is very fast. For more typical Python programs we generally are 3 times the speed of CPython 2.7. You might be interested in our benchmarking site and our jit documentation.

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

   doc.pypy.org › en › latest

   • Cached

   The effect that you get in CPython has clearly been described as a side-effect of the implementation and not a language design decision: programs relying on this are basically bogus. It would be a too strong restriction to try to enforce CPython’s behavior in a language spec, given that it has no chance to be adopted by Jython or IronPython (or any other port of Python to Java or .NET).

5. softwareengineering.stackexchange.com › questionsWhy is Python written in C and not in C++? - Software ...

   softwareengineering.stackexchange.com › questions

   3. @Abdul: No, Python is not a software at all. It is a specification. There are multiple implementations of that specification, written in multiple languages. IronPython is written in C♯, Jython in Java, PyPy in RPython, Pynie in NQP, PIR, and Perl6, Pyston in C++, CPython in C. The statement "Python is written in C" doesn't make sense.

6. www.geeksforgeeks.org › python-vs-cpythonPython vs Cpython - GeeksforGeeks

   www.geeksforgeeks.org › python-vs-cpython

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   Jun 21, 2024 · Here are some major differences between Python and CPython. Python is a language specification, defining syntax, keywords, and core concepts. Cpython is an interpreter that executes Python code. Language-agnostic, meaning it can be implemented in various languages.

7. pypy.org › posts › 2018Inside cpyext: Why emulating CPython C API is so Hard | PyPy

   pypy.org › posts › 2018

   • Cached

   Sep 21, 2018 · A Python program which makes heavy use of cpyext extensions is likely to be slower on PyPy than on CPython. Note: in this blog post we are talking about Python 2.7 because it is still the default version of PyPy: however most of the implementation of cpyext is shared with PyPy3, so everything applies to that as well.

8. People also ask

   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

   See all results for this question

   Is CPython still used in Python?

   • Of course, nowadays, CPython is no longer the only Python implementation. There is PyPy, which is written in RPython (a statically typed subset of Python), Jython in Java, IronPython in C#, Pynie in NQP and PIR and so on.

   Why is Python written in C and not in C++?

   softwareengineering.stackexchange.com/questions/20988/why-is-python-written-in-c-and-not-in-c

   See all results for this question

   What does CPython do?

   • CPython is the reference implementation of Python, written in C. It is the most widely used implementation of Python and serves as the standard against which other implementations are measured. CPython compiles Python code into intermediate bytecode, which is then executed by its virtual machine.

   Python vs Cpython - GeeksforGeeks

   www.geeksforgeeks.org/python-vs-cpython/

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   What is the difference between Python and CPython?

   • Here are some major differences between Python and CPython. Python is a language specification, defining syntax, keywords, and core concepts. Cpython is an interpreter that executes Python code. Language-agnostic, meaning it can be implemented in various languages. Specifically implemented in C, making it efficient but tying it to C’s ecosystem.

   Python vs Cpython - GeeksforGeeks

   www.geeksforgeeks.org/python-vs-cpython/

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   What is CPython implementation?

   • It is the most widely used implementation of Python and serves as the standard against which other implementations are measured. CPython compiles Python code into intermediate bytecode, which is then executed by its virtual machine. This implementation provides the default runtime for Python, including the standard library and built-in functions.

   Python vs Cpython - GeeksforGeeks

   www.geeksforgeeks.org/python-vs-cpython/

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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. blog.devgenius.io › introduction-to-pypy-2db485a058caUnlocking Python Performance: An In-Depth Guide to PyPy and ...

   blog.devgenius.io › introduction-to-pypy-2db485a058ca

   Apr 16, 2023 · Considering the performance advantages of PyPy, developers might wonder when it is appropriate to use PyPy instead of CPython. Here are some scenarios in which PyPy might be the better choice: When the Python code relies heavily on computation and can benefit from the performance improvements offered by the JIT compiler and meta-tracing techniques.