Python Pocket Reference: Python in Your Pocket
RM113.39 RM126.13
By Lutz Mark
Paperback – English
ISBN: 1449357016
EAN: 9781449357016
Publisher: OREILLY MEDIA
Publication Date: 11/03/2014
Pages: 262
Dimension: 17.70cm x 13.56cm x 1.32cm
Age Group: NA to NA
Grades: Not Applicable to Not Applicable
Lexile Level: 0
Award: –
About Author: Lutz, Mark
Mark Lutz is a leading Python trainer, the author of Python’s earliest and best-selling texts, and a pioneering figure in the Python world. Mark is the author of the three O’Reilly books: “Learning Python”, “Programming Python”, and “Python Pocket Reference”, all currently in fourth or fifth editions. He has been using and promoting Python since 1992, started writing Python “books” in 1995, and began teaching Python “classes” in 1997. As of Spring 2013, Mark has instructed 260 Python training sessions, taught roughly 4,000 students in live classes, and written Python books that have sold 400,0
Categories:
Computers – Programming – Object Oriented
Computers – Languages – Python
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Description
By Lutz Mark
Paperback – English
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youâ 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 Lutzâ widely recognized as the worldâ s leading Python trainerâ Python Pocket Reference is an ideal companion to Oâ Reillyâ 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
– Pythonâ 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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