[pypy-svn] r48293 - pypy/extradoc/talk/roadshow-ibm
pedronis at codespeak.net
pedronis at codespeak.net
Sun Nov 4 16:31:43 CET 2007
Author: pedronis
Date: Sun Nov 4 16:31:41 2007
New Revision: 48293
Modified:
pypy/extradoc/talk/roadshow-ibm/talk.txt
Log:
fix some typos
Modified: pypy/extradoc/talk/roadshow-ibm/talk.txt
==============================================================================
--- pypy/extradoc/talk/roadshow-ibm/talk.txt (original)
+++ pypy/extradoc/talk/roadshow-ibm/talk.txt Sun Nov 4 16:31:41 2007
@@ -16,7 +16,7 @@
What PyPy does is setup enough infrastructure such that speed is regained
and features requiring low-level manipulations are (re-)added as aspects
-without cluttering the intepreter.
+without cluttering the interpreter.
Targets as different as C and the industry OO VMs (JVM, CLR) are supported.
@@ -32,7 +32,7 @@
Folk Wisdom about Interpreters for Dynamic Languages
====================================================
-* There are unavoidable tradeoffs between flexibilty, maintainability,
+* There are unavoidable tradeoffs between flexibility, maintainability,
and speed
* Fast, Maintainable, Flexible -- pick one
@@ -40,7 +40,7 @@
What this means in Practice
===========================
-Current popular open source dynamic language implemtations:
+Current popular open source dynamic language implementations:
* are relatively slow
@@ -59,7 +59,7 @@
* are harder to maintain than we would like them to be
- because they are traditionally written in low-level languages
-- the language community, which generates experts in the dynamic langauge,
+- the language community, which generates experts in the dynamic language,
can not use this expertise in its own maintenance. Instead, expertise
in C, or C++ is usually needed.
- every time a new VM is needed, there is a fork in the language community.
@@ -82,7 +82,7 @@
Translation: Going from interpreters to VMs
==============================================
-In PyPy interpreteres are written in RPython:
+In PyPy interpreters are written in RPython:
a subset of Python amenable to static analysis.
RPython itself still has garbage collection support
and rich built-in types.
More information about the Pypy-commit
mailing list