Author: Matti Picus <matti.pi...@gmail.com>
Branch: extradoc
Changeset: r5644:90f043cebe19
Date: 2016-07-01 14:53 +0300
http://bitbucket.org/pypy/extradoc/changeset/90f043cebe19/

Log:    rewording

diff --git a/talk/compiler-workshop-2016/pypy.rst 
b/talk/compiler-workshop-2016/pypy.rst
--- a/talk/compiler-workshop-2016/pypy.rst
+++ b/talk/compiler-workshop-2016/pypy.rst
@@ -7,7 +7,7 @@
 -----------------
 
 PyPy is a mature production-ready framework automatically speeding up pure
-python code by factors of 2-5 in commercial settings.
+python code by factors of 2-5, already used in commercial settings.
 
 The PyPy community offers several tools to inspect and optimize Python 
programs.
 Examples: vmprof, cffi
@@ -29,8 +29,8 @@
 Flow graphs -> Annotation -> RTyping -> Code generation
 
 Advantages:
-* Whole program optimizations (take that C)
-* Deliver features fast, without sacrificing speed
+* Whole program optimizations (take that, C)
+* Deliver features quickly, without sacrificing speed
 * Loosely coupled (JIT, Interp., RPython)
 
 Downsides:
@@ -44,23 +44,24 @@
 under-funded. For instance, we could be doing alot more for data science but
 are moving slowly forward on a volunteer basis with C-API compatibility.
 
-Our interests lie in still providing the confort of the Python eco system,
-but not sacrificing execution time. Some details (e.g. garbage collection 
scheme)
+Our interests lie in still providing the comfort of the Python ecosystem,
+without sacrificing execution time. Some details (e.g. garbage collection 
scheme)
 have some impact on user programs. We could use a lot more help in identifying 
and resolving
-some of these issues. If programs do not run out of the box, most users will 
stick to CPython
-because their performance problems are not that of an issue (at that point in 
time).
+these issues. If programs do not run out of the box, most users will just 
stick to CPython
+because their performance problems are not that big of an issue (at that point 
in time).
 If we could resolve those issues (funded, or externally contributed) we would 
create a much
 better user experience.
 
 We are also working on Micro NumPy, which provides the kernels for numerical 
operations.
-It is very much complete, but still some features are missing. We would love 
to have a
+It is very usable, but still some features are missing. We would love to have a
 partner/company that would help us to complete NumPy for PyPy.
 
 We are open to changes to our JIT scheme. We are working on both high level 
optimizations and
 backend oriented changes. Ideas would be to mitigate some issues with our 
tracing JIT compiler
-(or even build a region based compiler) and many more. Most of these aspects 
are covered quite well by
-our core development team, but we will eventually take another big step in 
near future towards the 7th version
-of our JIT.
+(or even build a region based compiler) and many more. Most of these aspects 
are covered 
+quite well by
+our core development team, but we will eventually take another big step in 
near 
+future towards the 7th version of our JIT.
 
 Other Interesting Aspects
 -------------------------
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