Learning Python
ISBN-13:
9781565924642
ISBN-10:
1565924649
Edition:
1
Author:
Mark Lutz, David Ascher
Publication date:
1999
Publisher:
O'Reilly Media
Format:
Paperback
384 pages
Category:
Software
,
Mathematics
FREE US shipping
Book details
ISBN-13:
9781565924642
ISBN-10:
1565924649
Edition:
1
Author:
Mark Lutz, David Ascher
Publication date:
1999
Publisher:
O'Reilly Media
Format:
Paperback
384 pages
Category:
Software
,
Mathematics
Summary
Learning Python (ISBN-13: 9781565924642 and ISBN-10: 1565924649), written by authors
Mark Lutz, David Ascher, was published by O'Reilly Media in 1999.
With an overall rating of 3.6 stars, it's a notable title among other
Software
(Mathematics) books. You can easily purchase or rent Learning Python (Paperback) from BooksRun,
along with many other new and used
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And, if you're looking to sell your copy, our current buyback offer is $0.6.
Description
Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because:
- It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS.
- It is open-source software, copyrighted but freely available for use, even in commercial applications.
- Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers.
- It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif.Learning Python is written by Mark Lutz, author ofProgramming Python and Python Pocket Reference; and David Ascher, a vision scientist and Python user.This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. In the second part of the book, the authors present more advanced information, demonstrating how Python performs common tasks and presenting real applications and the libraries available for those applications.All the examples use the Python interpreter, so the reader can type them in and get instant feedback. Each chapter ends with a series of exercises. Solutions to the exercises are in an appendix.
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