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authorGeorg Brandl <georg@python.org>2014-10-29 08:24:54 (GMT)
committerGeorg Brandl <georg@python.org>2014-10-29 08:24:54 (GMT)
commit77fe77d4af87b29ce36fc6d20a097ccb9cd08f76 (patch)
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parent728e4debd84e3fa345a6516e7fc0390ffc023ea8 (diff)
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Fixing broken links in doc, part 1: faq/
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@@ -368,9 +368,9 @@ Can Python be compiled to machine code, C or some other language?
Practical answer:
-`Cython <http://cython.org/>`_ and `Pyrex <http://www.cosc.canterbury.ac.nz/~greg/python/Pyrex/>`_
+`Cython <http://cython.org/>`_ and `Pyrex <http://www.cosc.canterbury.ac.nz/greg.ewing/python/Pyrex/>`_
compile a modified version of Python with optional annotations into C
-extensions. `Weave <http://www.scipy.org/Weave>`_ makes it easy to
+extensions. `Weave <http://docs.scipy.org/doc/scipy-dev/reference/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.
@@ -392,7 +392,7 @@ approach is feasible, although the speedups reached so far are only modest
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
-<https://www.python.org/workshops/1997-10/proceedings/>`_ for more information.)
+<http://legacy.python.org/workshops/1997-10/proceedings/>`_ for more information.)
How does Python manage memory?