--- rest25/tutorial/appetite.rst	2008-12-19 16:58:06.000000000 +0900
+++ rest262/tutorial/appetite.rst	2009-04-05 05:01:50.000000000 +0900
@@ -1,38 +1,38 @@
 .. _tut-intro:
 
 **********************
 Whetting Your Appetite
 **********************
 
 If you do much work on computers, eventually you find that there's some task
-you'd like to automate.  For example, you may wish to perform a search-and-
+you'd like to automate.  For example, you may wish to perform a
-replace over a large number of text files, or rename and rearrange a bunch of
+search-and-replace over a large number of text files, or rename and rearrange a
-photo files in a complicated way. Perhaps you'd like to write a small custom
+bunch of photo files in a complicated way. Perhaps you'd like to write a small
-database, or a specialized GUI application, or a simple game.
+custom database, or a specialized GUI application, or a simple game.
 
 If you're a professional software developer, you may have to work with several
 C/C++/Java libraries but find the usual write/compile/test/re-compile cycle is
 too slow.  Perhaps you're writing a test suite for such a library and find
 writing the testing code a tedious task.  Or maybe you've written a program that
 could use an extension language, and you don't want to design and implement a
 whole new language for your application.
 
 Python is just the language for you.
 
 You could write a Unix shell script or Windows batch files for some of these
 tasks, but shell scripts are best at moving around files and changing text data,
 not well-suited for GUI applications or games. You could write a C/C++/Java
 program, but it can take a lot of development time to get even a first-draft
-program.  Python is simpler to use, available on Windows, MacOS X, and Unix
+program.  Python is simpler to use, available on Windows, Mac OS X, and Unix
 operating systems, and will help you get the job done more quickly.
 
 Python is simple to use, but it is a real programming language, offering much
 more structure and support for large programs than shell scripts or batch files
 can offer.  On the other hand, Python also offers much more error checking than
 C, and, being a *very-high-level language*, it has high-level data types built
 in, such as flexible arrays and dictionaries.  Because of its more general data
 types Python is applicable to a much larger problem domain than Awk or even
 Perl, yet many things are at least as easy in Python as in those languages.
 
 Python allows you to split your program into modules that can be reused in other
 Python programs.  It comes with a large collection of standard modules that you
@@ -59,31 +59,29 @@
 
 * no variable or argument declarations are necessary.
 
 Python is *extensible*: if you know how to program in C it is easy to add a new
 built-in function or module to the interpreter, either to perform critical
 operations at maximum speed, or to link Python programs to libraries that may
 only be available in binary form (such as a vendor-specific graphics library).
 Once you are really hooked, you can link the Python interpreter into an
 application written in C and use it as an extension or command language for that
 application.
 
 By the way, the language is named after the BBC show "Monty Python's Flying
-Circus" and has nothing to do with nasty reptiles.  Making references to Monty
+Circus" and has nothing to do with reptiles.  Making references to Monty
 Python skits in documentation is not only allowed, it is encouraged!
 
 Now that you are all excited about Python, you'll want to examine it in some
 more detail.  Since the best way to learn a language is to use it, the tutorial
 invites you to play with the Python interpreter as you read.
 
-.. % \section{Where From Here \label{where}}
-
 In the next chapter, the mechanics of using the interpreter are explained.  This
 is rather mundane information, but essential for trying out the examples shown
 later.
 
 The rest of the tutorial introduces various features of the Python language and
 system through examples, beginning with simple expressions, statements and data
 types, through functions and modules, and finally touching upon advanced
 concepts like exceptions and user-defined classes.
 
 
