[pypy-commit] pypy default: rework possibe ideas page, remove GSOC, add documentation

[mattip]

Author: Matti Picus <matti.picus at gmail.com>
Branch: 
Changeset: r93709:361e79d61ca0
Date: 2018-01-27 18:44 +0200
http://bitbucket.org/pypy/pypy/changeset/361e79d61ca0/

Log:	rework possibe ideas page, remove GSOC, add documentation

diff --git a/pypy/doc/project-ideas.rst b/pypy/doc/project-ideas.rst
--- a/pypy/doc/project-ideas.rst
+++ b/pypy/doc/project-ideas.rst
@@ -1,26 +1,41 @@
 Potential Project List
 ======================
 
-Google Summer of Code 2017
---------------------------
+Getting involved
+----------------
 
-PyPy is generally open to new ideas for Google Summer of Code. We are happy to accept good ideas around the PyPy ecosystem. If you need more information about the ideas we propose for this year please join us on irc, channel #pypy (freenode). If you are unsure, but still think that you can make a valuable contribution to PyPy, dont hesitate to contact us on #pypy or on our mailing list.
-
+We are happy to discuss ideas around the PyPy ecosystem.
+If you are interested in palying with RPython or PyPy, or have a new idea not
+mentioned here please join us on irc, channel #pypy (freenode). If you are unsure,
+but still think that you can make a valuable contribution to PyPy, dont
+hesitate to contact us on #pypy or on our mailing list. Here are some ideas
+to get you thinking:
 
 * **Optimize PyPy Memory Usage**:  Sometimes PyPy consumes more memory than CPython.
-  Two examples: 1) PyPy seems to allocate and keep alive more strings when importing a big Python modules.
-  2) The base interpreter size (cold VM started from a console) of PyPy is bigger than the one of CPython.
-  The general procedure of this project is: Run both CPython and PyPy of the same Python version and
-  compare the memory usage (using Massif or other tools).
+  Two examples: 1) PyPy seems to allocate and keep alive more strings when
+  importing a big Python modules.  2) The base interpreter size (cold VM started
+  from a console) of PyPy is bigger than the one of CPython. The general
+  procedure of this project is: Run both CPython and PyPy of the same Python
+  version and compare the memory usage (using Massif or other tools).
   If PyPy consumes a lot more memory then find and resolve the issue.
 
-* **VMProf + memory profiler**: vmprof by now has a memory profiler that can be used already. We want extend it with more features and resolve some current limitations.
+* **VMProf + memory profiler**: vmprof is a statistical memory profiler. We
+  want extend it with new features and resolve some current limitations.
 
-* **VMProf visualisations**: vmprof just shows a flame graph of the statistical profile and some more information about specific call sites. It would be very interesting to experiment with different information (such as memory, or even information generated by our jit compiler).
+* **VMProf visualisations**: vmprof shows a flame graph of the statistical
+  profile and some more information about specific call sites. It would be
+  very interesting to experiment with different information (such as memory,
+  or even information generated by our jit compiler).
 
-* **Explicit typing in RPython**: PyPy wants to have better ways to specify the signature and class attribute types in RPython. See more information about this topic below on this page.
+* **Explicit typing in RPython**: PyPy wants to have better ways to specify
+  the signature and class attribute types in RPython. See more information
+  about this topic below on this page.
 
-* **Virtual Reality (VR) visualisations for vmprof**: This is a very open topic with lots of freedom to explore data visualisation for profiles. No VR hardware would be needed for this project. Either universities provide such hardware or in any other case we potentially can lend the VR hardware setup.
+* **Virtual Reality (VR) visualisations for vmprof**: This is a very open
+  topic with lots of freedom to explore data visualisation for profiles. No
+  VR hardware would be needed for this project. Either universities provide
+  such hardware or in any other case we potentially can lend the VR hardware
+  setup.
 
 Simple tasks for newcomers
 --------------------------
@@ -34,6 +49,11 @@
 * Implement AF_XXX packet types of sockets:
   https://bitbucket.org/pypy/pypy/issue/1942/support-for-af_xxx-sockets
 
+* Help with documentation. One task would be to document rpython configuration
+  options currently listed only on :doc:`this site <configuration>` also on the
+  RPython_ documentation site.
+
+.. _RPython: http://rpython.readthedocs.io
 
 Mid-to-large tasks
 ------------------
@@ -201,7 +221,9 @@
 Introduce new benchmarks
 ------------------------
 
-We're usually happy to introduce new benchmarks. Please consult us
+Our benchmark runner_ is showing its age. We should merge with the `CPython site`_
+
+Additionally, we're usually happy to introduce new benchmarks. Please consult us
 before, but in general something that's real-world python code
 and is not already represented is welcome. We need at least a standalone
 script that can run without parameters. Example ideas (benchmarks need
@@ -209,6 +231,8 @@
 
 * `hg`
 
+.. _runner: http://speed.pypy.org
+.. _`CPython site`: https://speed.python.org/
 
 ======================================
 Make more python modules pypy-friendly
@@ -238,15 +262,6 @@
 using more pypy-friendly technologies, e.g. cffi. Here is a partial list of
 good work that needs to be finished:
 
-**matplotlib** https://github.com/matplotlib/matplotlib
-
-    Status: using the matplotlib branch of PyPy and the tkagg-cffi branch of
-    matplotlib from https://github.com/mattip/matplotlib/tree/tkagg-cffi, the
-    tkagg backend can function.
-
-    TODO: the matplotlib branch passes numpy arrays by value (copying all the
-    data), this proof-of-concept needs help to become completely compliant
-
 **wxPython** https://bitbucket.org/amauryfa/wxpython-cffi
 
     Status: A project by a PyPy developer to adapt the Phoenix sip build system to cffi