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Make reference to the Library Reference in the "What Now?" chapter a 

hyperlink.

Fix two English usage errors caught by Jan Wells:  Changed "subsequence"
to "sub-sequence" in two places, and avoid improper use of "hopefully" in
the first paragraph of the "What Now?" chapter.
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Fred Drake 2001-04-03 17:41:56 +00:00
parent 216b8707d9
commit 979d041b6f
1 changed files with 7 additions and 5 deletions
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Doc/tut/tut.tex
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@ -942,7 +942,7 @@ the same object! We'll come back to \emph{object semantics} later.
Of course, we can use Python for more complicated tasks than adding
two and two together. For instance, we can write an initial
subsequence of the \emph{Fibonacci} series as follows:
sub-sequence of the \emph{Fibonacci} series as follows:
\begin{verbatim}
>>> # Fibonacci series:
@ -2032,7 +2032,7 @@ two items are compared, and so on, until either sequence is exhausted.
If two items to be compared are themselves sequences of the same type,
the lexicographical comparison is carried out recursively. If all
items of two sequences compare equal, the sequences are considered
equal. If one sequence is an initial subsequence of the other, the
equal. If one sequence is an initial sub-sequence of the other, the
shorter sequence is the smaller one. Lexicographical ordering for
strings uses the \ASCII{} ordering for individual characters. Some
examples of comparisons between sequences with the same types:
@ -3910,10 +3910,12 @@ finally the instance converted to a string using the built-in function
\chapter{What Now? \label{whatNow}}
Hopefully reading this tutorial has reinforced your interest in using
Python. Now what should you do?
Reading this tutorial has probably reinforced your interest in using
Python --- you should be eager to apply Python to solve your
real-world problems. Now what should you do?
You should read, or at least page through, the Library Reference,
You should read, or at least page through, the
\citetitle[../lib/lib.html]{Python Library Reference},
which gives complete (though terse) reference material about types,
functions, and modules that can save you a lot of time when writing
Python programs. The standard Python distribution includes a