[pypy-commit] pypy.org extradoc: Add the Guido Seal of Approval

[alex_gaynor]

Author: Alex Gaynor <alex.gaynor at gmail.com>
Branch: extradoc
Changeset: r594:3cf830114ccc
Date: 2015-04-12 15:31 -0400
http://bitbucket.org/pypy/pypy.org/changeset/3cf830114ccc/

Log:	Add the Guido Seal of Approval

diff --git a/index.html b/index.html
--- a/index.html
+++ b/index.html
@@ -72,19 +72,27 @@
 <p>PyPy is a <a class="reference external" href="http://speed.pypy.org/">fast</a>, <a class="reference external" href="compat.html">compliant</a> alternative implementation of the <a class="reference external" href="http://python.org/">Python</a>
 language (2.7.8 and 3.2.5). It has several advantages and distinct features:</p>
 <blockquote>
-<ul class="simple">
-<li><strong>Speed:</strong> thanks to its Just-in-Time compiler, Python programs
-often run <a class="reference external" href="http://speed.pypy.org/">faster</a> on PyPy.  <a class="reference external" href="http://en.wikipedia.org/wiki/Just-in-time_compilation">(What is a JIT compiler?)</a></li>
-<li><strong>Memory usage:</strong> memory-hungry Python programs (several hundreds of
-MBs or more) might end up taking <a class="reference external" href="http://morepypy.blogspot.com/2009/10/gc-improvements.html">less space</a> than they do in CPython.</li>
-<li><strong>Compatibility:</strong> PyPy is <a class="reference external" href="compat.html">highly compatible</a> with existing python code.
+<ul>
+<li><p class="first"><strong>Speed:</strong> thanks to its Just-in-Time compiler, Python programs
+often run <a class="reference external" href="http://speed.pypy.org/">faster</a> on PyPy.  <a class="reference external" href="http://en.wikipedia.org/wiki/Just-in-time_compilation">(What is a JIT compiler?)</a></p>
+<p>“If you want your code to run faster, you should probably just use PyPy”
+— Guido van Rossum (creator of Python)</p>
+</li>
+<li><p class="first"><strong>Memory usage:</strong> memory-hungry Python programs (several hundreds of
+MBs or more) might end up taking <a class="reference external" href="http://morepypy.blogspot.com/2009/10/gc-improvements.html">less space</a> than they do in CPython.</p>
+</li>
+<li><p class="first"><strong>Compatibility:</strong> PyPy is <a class="reference external" href="compat.html">highly compatible</a> with existing python code.
 It supports <a class="reference external" href="https://cffi.readthedocs.org">cffi</a> and can run popular python libraries like <a class="reference external" href="https://twistedmatrix.com/">twisted</a>
-and <a class="reference external" href="https://www.djangoproject.com/">django</a>.</li>
-<li><strong>Sandboxing:</strong> PyPy provides the ability to <a class="reference external" href="features.html#sandboxing">run untrusted code</a> in a
-fully secure way.</li>
-<li><strong>Stackless:</strong> PyPy comes by default with support for <a class="reference external" href="features.html#stackless">stackless mode</a>,
-providing micro-threads for massive concurrency.</li>
-<li>As well as other <a class="reference external" href="features.html">features</a>.</li>
+and <a class="reference external" href="https://www.djangoproject.com/">django</a>.</p>
+</li>
+<li><p class="first"><strong>Sandboxing:</strong> PyPy provides the ability to <a class="reference external" href="features.html#sandboxing">run untrusted code</a> in a
+fully secure way.</p>
+</li>
+<li><p class="first"><strong>Stackless:</strong> PyPy comes by default with support for <a class="reference external" href="features.html#stackless">stackless mode</a>,
+providing micro-threads for massive concurrency.</p>
+</li>
+<li><p class="first">As well as other <a class="reference external" href="features.html">features</a>.</p>
+</li>
 </ul>
 </blockquote>
 <p class="download"><a class="reference external" href="download.html">Download and try out PyPy</a></p>
diff --git a/source/index.txt b/source/index.txt
--- a/source/index.txt
+++ b/source/index.txt
@@ -9,6 +9,9 @@
   * **Speed:** thanks to its Just-in-Time compiler, Python programs
     often run `faster`_ on PyPy.  `(What is a JIT compiler?)`_
 
+    "If you want your code to run faster, you should probably just use PyPy."
+    -- Guido van Rossum (creator of Python)
+
   * **Memory usage:** memory-hungry Python programs (several hundreds of
     MBs or more) might end up taking `less space`_ than they do in CPython.