Text Processing in Python
Mertz, David
From SecondSale, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
AbeBooks Seller since December 20, 2007
Used - Soft cover
Quantity: 2 available
Add to basketFrom SecondSale, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
AbeBooks Seller since December 20, 2007
Quantity: 2 available
Add to basketAbout this Item
Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00088886683
Bibliographic Details
Title: Text Processing in Python
Publisher: Addison-Wesley Professional
Publication Date: 2003
Binding: Soft cover
Condition: Good
About this title
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.
David Mertz came to writing about programming via the unlikely route of first being a humanities professor. Along the way, he was a senior software developer, and now runs his own development company, Gnosis Software ("We know stuff!"). David writes regular columns and articles for IBM developerWorks, Intel Developer Network, O'Reilly ONLamp, and other publications.
"About this title" may belong to another edition of this title.
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