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  1. Sep 23, 2013 · If PyPy succeeds to be better than CPython in general, which is questionable, the main weakness affecting its wider adoption will be its compatibility with CPython. There also exist issues such as the fact that CPython runs on a wider range of CPUs and OSes, but these issues are much less important compared to PyPy's performance and CPython-compatibility goals.

  2. The main difference in pure-python code that is not going to be fixed is that PyPy does not support refcounting semantics for "automatically" releasing state when an object's __del__ is called. The following code won't fill the file immediately, but only after a certain period of time, when the GC does a collection and flushes the output, since the file is only closed when the __del__ method ...

  3. 3 days ago · Download a pre-built PyPy¶ The quickest way to start using PyPy is to download a prebuilt binary for your OS and architecture. You may be able to use either use the most recent release or one of our development nightly build. Please note that the nightly builds are not guaranteed to be as stable as official releases, use them at your own risk.

  4. 3 days ago · This includes subtle decisions about whether some effects are ok or not for the user (i.e. the Python programmer). CPython has additionally the problem (1) of reference counting. With PyPy, this sub-problem is simpler: we need to make our GC multithread-aware. This is easier to do efficiently in PyPy than in CPython.

  5. More generally you may be just a little bit low of RAM. First note that 2 GB is really not enough nowadays; on Windows you first need to refer to the Windows build instructions. More precisely, translation on 32-bit takes at this point 2.7 GB if PyPy is used and 2.9 GB if CPython is used. There are two workarounds: 1. use PyPy, not CPython.

  6. On CPython 2.6 and 2.7 it works in a bit more cases, which are not supported by PyPy so far. (If needed, it could be supported, but then it will likely work in many more case on PyPy than on CPython 2.6/2.7.) In PyPy 3, __class__ attribute assignment between heaptypes and non heaptypes.

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  8. pypy.orgPyPy

    Memory usage: memory-hungry Python programs (several hundreds of MBs or more) might end up taking less space than they do in CPython. Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and more via a c ...

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