Author: Antonio Cuni <anto.c...@gmail.com>
Branch: extradoc
Changeset: r3940:4e7631f04f96
Date: 2011-10-27 15:16 +0200
http://bitbucket.org/pypy/extradoc/changeset/4e7631f04f96/
Log: some english fixes, and rephrase a couple of sentences
diff --git a/blog/draft/faster-json.rst b/blog/draft/faster-json.rst
--- a/blog/draft/faster-json.rst
+++ b/blog/draft/faster-json.rst
@@ -4,13 +4,17 @@
Hi
Recently I spent a bit of effort into speeding up JSON in PyPy. I started with
-writing a `benchmark`_, which is admiteddly not very good, but it's better
-than nothing (suggestions to improve welcomed!).
+writing a `benchmark`_, which is admittedly not a very good one, but it's
+better than nothing (suggestions on how to improve it are welcome!). XXX:
+explain in one line what the benchmark does?
-For this particular benchmark, the numbers are as follow. Note that CPython
-uses hand-optimized C extension and PyPy uses a pure python version,
-hand-optimized in trunk, default in older versions. I'm taking the third run,
-when things are warmed up, full session `here`_.
+For this particular benchmark, the numbers are as follow. Note that CPython by
+default uses the optimized C extension, while PyPy uses the pure Python one.
+PyPy trunk contains another pure Python version which has been optimized
+specifically for the PyPy JIT, which is the subject of this post.
+
+The number reported is the time taken for the third run, when things are
+warmed up. Full session `here`_.
+----------------------------+-------------+
| CPython 2.6 | 22s |
@@ -84,7 +88,7 @@
I must admit I worked around PyPy's performance bug
---------------------------------------------------
-For reasons obscure (although fixable), this::
+For obscure (although eventually fixable) reasons, this::
for c in s: # s is string
del c
@@ -94,14 +98,14 @@
for c in s:
pass
-This is a bug and should be fixed, but on different branch ;-)
+This is a PyPy performance bug and should be fixed, but on different branch ;-)
-PyPy's JIT is kind of good
+PyPy's JIT is good
--------------------------
-I was pretty surprised, but the JIT actually did make stuff work nicely. Seems
-you can write code in Python if you want to make it run fast, but you have
-to be a bit careful. Again, jitviewer is your friend
+I was pretty surprised, but the JIT actually did make stuff work nicely.
+It is possible to write code in Python and make it run fast, but you have
+to be a bit careful. Again, jitviewer is your friend.
Cheers,
fijal
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