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Commit cd214f1f authored by Maciej Fijalkowski's avatar Maciej Fijalkowski
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In-progress website rebuild

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PyPy features
===========================================================
**PyPy 1.3** implements **Python 2.5.** It supports all of the core
**PyPy 1.4** implements **Python 2.5.** It supports all of the core
language, passing the Python test suite (with minor modifications that were
already accepted in the main python in newer versions). It supports most
of the commonly used Python standard library modules. For known differences
with CPython, see our `compatibility`_ page. If you are interested in
helping with 2.6, 2.7 or 3.x features, `contact us`_!
......@@ -10,12 +10,12 @@
language, passing the Python test suite (with minor modifications that were
already accepted in the main python in newer versions). It supports most
of the commonly used Python standard library modules. For known differences
with CPython, see our `compatibility`_ page. If you are interested in
helping with 2.6, 2.7 or 3.x features, `contact us`_!
PyPy 1.3 runs essentially only on Intel `x86 (IA-32)`_. On 64-bit platforms
you have to use the 32-bit compatibility mode, for now -- or `contact us`_
to help!
PyPy 1.4 runs essentially only on Intel `x86 (IA-32)`_ and `x86_64`_ platforms,
with ARM being underway.
Feel free to contact us if you want to port it to any other platform!
.. _`compatibility`: compat.html
.. _`x86 (IA-32)`: http://en.wikipedia.org/wiki/IA-32
......@@ -19,8 +19,5 @@
.. _`compatibility`: compat.html
.. _`x86 (IA-32)`: http://en.wikipedia.org/wiki/IA-32
Speed or memory usage?
-------------------------------
.. _`x86_64`: http://en.wikipedia.org/wiki/X86_64
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Our `main prototype`_ comes with a Just-in-Time compiler. It is
`really fast`_ in running most benchmarks. `Try it out!`_
Speed
-----
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An issue with our JIT compiler is that it's hard to control
the exact amount of RAM that is used. If this is an important
issue to you, you can try our `baseline version`_, which does
not include a JIT compiler at all.
Our `main executable`_ comes with a Just-in-Time compiler. It is
`really fast`_ in running most benchmarks. `Try it out!`_
.. _`main prototype`: download.html#with-a-jit-compiler
.. _`Try it out!`: download.html#with-a-jit-compiler
.. _`really fast`: http://speed.pypy.org/
......@@ -34,9 +29,7 @@
.. _`main prototype`: download.html#with-a-jit-compiler
.. _`Try it out!`: download.html#with-a-jit-compiler
.. _`really fast`: http://speed.pypy.org/
.. _`baseline version`: download.html#with-no-jit-compiler
Sandboxing
--------------------
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.. class:: download
`Download and try out the PyPy release 1.3!`__
`Download and try out the PyPy release 1.4!`__
.. __: download.html
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