Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
ISBN-13:
9781449357016
ISBN-10:
1449357016
Edition:
5
Author:
Mark Lutz
Publication date:
2014
Publisher:
O'Reilly Media
Format:
Paperback
262 pages
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Book details
ISBN-13:
9781449357016
ISBN-10:
1449357016
Edition:
5
Author:
Mark Lutz
Publication date:
2014
Publisher:
O'Reilly Media
Format:
Paperback
262 pages
Summary
Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly)) (ISBN-13: 9781449357016 and ISBN-10: 1449357016), written by authors
Mark Lutz, was published by O'Reilly Media in 2014.
With an overall rating of 3.5 stars, it's a notable title among other
Software Design, Testing & Engineering
(Microsoft Programming, Programming) books. You can easily purchase or rent Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly)) (Paperback) from BooksRun,
along with many other new and used
Software Design, Testing & Engineering
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.48.
Description
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You’ll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need.
Written by Mark Lutz—widely recognized as the world’s leading Python trainer—Python Pocket Reference is an ideal companion to O’Reilly’s classic Python tutorials, Learning Python and Programming Python, also written by Mark.
This fifth edition covers:
- Built-in object types, including numbers, lists, dictionaries, and more
- Statements and syntax for creating and processing objects
- Functions and modules for structuring and reusing code
- Python’s object-oriented programming tools
- Built-in functions, exceptions, and attributes
- Special operator overloading methods
- Widely used standard library modules and extensions
- Command-line options and development tools
- Python idioms and hints
- The Python SQL Database API
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