Text Processing in Python by David Mertz , Mike Hendrickson
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Text Processing in Python describes techniques for manipulation of text using the
Python programming language. At the broadest level, text processing is simply
taking textual information and doing something with it. This might be
restructuring or reformatting it, extracting smaller bits of information from it,
or performing calculations that depend on the text. Text processing is arguably
what most programmers spend most of their time doing. Because Python is
clear, expressive, and object-oriented it is a perfect language for doing text
processing, even better than Perl. As the amount of data everywhere continues
to increase, this is more and more of a challenge for programmers. This book is
not a tutorial on Python. It has two other goals: helping the programmer get
the job done pragmatically and efficiently; and giving the reader an
understanding - both theoretically and conceptually - of why what works works
and what doesn't work doesn't work. Mertz provides practical pointers and tips
that emphasize efficent, flexible, and maintainable approaches to the textprocessing
tasks that working programmers face daily.
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