Author: Armin Rigo <[email protected]>
Branch: extradoc
Changeset: r605:0661ae1fff6a
Date: 2015-05-15 16:50 +0200
http://bitbucket.org/pypy/pypy.org/changeset/0661ae1fff6a/
Log: Remove "sandboxing" from the front page of pypy.org. It's still
available in "other features" where it starts with "prototype".
diff --git a/index.html b/index.html
--- a/index.html
+++ b/index.html
@@ -75,7 +75,7 @@
<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”
+<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
@@ -85,9 +85,6 @@
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>.</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>
diff --git a/source/index.txt b/source/index.txt
--- a/source/index.txt
+++ b/source/index.txt
@@ -19,9 +19,6 @@
It supports `cffi`_ and can run popular python libraries like `twisted`_
and `django`_.
- * **Sandboxing:** PyPy provides the ability to `run untrusted code`_ in a
- fully secure way.
-
* **Stackless:** PyPy comes by default with support for `stackless mode`_,
providing micro-threads for massive concurrency.
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