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| author | Brett Cannon <brett@python.org> | 2016-11-18 18:42:10 (GMT) |
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| committer | Brett Cannon <brett@python.org> | 2016-11-18 18:42:10 (GMT) |
| commit | dc0e6f9ea30c6443cd18839b846350144b77b50a (patch) | |
| tree | aed692bc1b44b6afbc207afdc64c25747dc4ee58 | |
| parent | 0c633985d754d55f0635a2a5bf39e63ab50c5f91 (diff) | |
| parent | 78ffd6cffacb04bea61bb0ef850d05859ab2dbe4 (diff) | |
| download | cpython-dc0e6f9ea30c6443cd18839b846350144b77b50a.zip cpython-dc0e6f9ea30c6443cd18839b846350144b77b50a.tar.gz cpython-dc0e6f9ea30c6443cd18839b846350144b77b50a.tar.bz2 | |
Merge for issue #28705
| -rw-r--r-- | Doc/faq/design.rst | 32 |
1 files changed, 5 insertions, 27 deletions
diff --git a/Doc/faq/design.rst b/Doc/faq/design.rst index 1b6cd7e..ea3de8a 100644 --- a/Doc/faq/design.rst +++ b/Doc/faq/design.rst @@ -366,33 +366,11 @@ is exactly the same type of object that a lambda expression yields) is assigned! Can Python be compiled to machine code, C or some other language? ----------------------------------------------------------------- -Practical answer: - -`Cython <http://cython.org/>`_ and `Pyrex <https://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/>`_ -compile a modified version of Python with optional annotations into C -extensions. `Weave <https://scipy.github.io/devdocs/tutorial/weave.html>`_ makes it easy to -intermingle Python and C code in various ways to increase performance. -`Nuitka <http://www.nuitka.net/>`_ is an up-and-coming compiler of Python -into C++ code, aiming to support the full Python language. - -Theoretical answer: - - .. XXX not sure what to make of this - -Not trivially. Python's high level data types, dynamic typing of objects and -run-time invocation of the interpreter (using :func:`eval` or :func:`exec`) -together mean that a naïvely "compiled" Python program would probably consist -mostly of calls into the Python run-time system, even for seemingly simple -operations like ``x+1``. - -Several projects described in the Python newsgroup or at past `Python -conferences <https://www.python.org/community/workshops/>`_ have shown that this -approach is feasible, although the speedups reached so far are only modest -(e.g. 2x). Jython uses the same strategy for compiling to Java bytecode. (Jim -Hugunin has demonstrated that in combination with whole-program analysis, -speedups of 1000x are feasible for small demo programs. See the proceedings -from the `1997 Python conference -<http://legacy.python.org/workshops/1997-10/proceedings/>`_ for more information.) +`Cython <http://cython.org/>`_ compiles a modified version of Python with +optional annotations into C extensions. `Nuitka <http://www.nuitka.net/>`_ is +an up-and-coming compiler of Python into C++ code, aiming to support the full +Python language. For compiling to Java you can consider +`VOC <https://voc.readthedocs.io>`_. How does Python manage memory? |