Author: Antonio Cuni <[email protected]> Branch: extradoc Changeset: r5526:92dbb3dfe86f Date: 2015-04-13 18:08 +0200 http://bitbucket.org/pypy/extradoc/changeset/92dbb3dfe86f/
Log: abstract for my EP talk diff --git a/talk/ep2015/performance-abstract.txt b/talk/ep2015/performance-abstract.txt new file mode 100644 --- /dev/null +++ b/talk/ep2015/performance-abstract.txt @@ -0,0 +1,20 @@ +================================== +PyPy performance (not) for dummies +================================== + + +Abstract +--------- + +PyPy is the fastest Python interpreter around, and its JIT can optimize most +of your Python programs without problems. However, there are techniques to +improve the performances even further and squeeze the most out of PyPy. In +this talk we will see: + +- the general principles behind the PyPy JIT + +- how to profile programs to find the bottlenecks + +- how to examine the code generated by the JIT + +- how to write JIT-friendly programs _______________________________________________ pypy-commit mailing list [email protected] https://mail.python.org/mailman/listinfo/pypy-commit
