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Python Pocket Reference (Pocket Reference (O'Reilly)), by Mark Lutz
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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
- Sales Rank: #5706 in Books
- Published on: 2014-02-09
- Original language: English
- Number of items: 1
- Dimensions: 7.00" h x 4.25" w x .50" l, .41 pounds
- Binding: Paperback
- 266 pages
About the Author
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 400,000 units and been translated to at least a dozen languages.
Together, his two decades of Python efforts have helped to establish it as one of the most widely used programming languages in the world today. In addition, Mark has been in the software field for 30 years. He holds BS and MS degrees in computer science from the University of Wisconsin where he explored implementations of the Prolog language, and over his career has worked as a professional software developer on compilers, programming tools, scripting applications, and assorted client/server systems.
Mark maintains a training website (http://learning-python.com) and an additional book support site on the Web (http://www.rmi.net/~lutz).
Most helpful customer reviews
28 of 30 people found the following review helpful.
Worth keeping close at hand
By Amazon Customer
As someone who teaches beginning Pythonistas to learn to program, this updated edition of the Python Pocket Reference is worth keeping close at hand.
The reference covers both Python 3.4 and 2.7, and it highlights changes between the two major releases in a succinct, clear way. Yes, one can find the reference information in the freely available Python docs, but this guide earns its place in my backpack by pulling together practical tips, hints, and common gotchas when using a method or function.
I appreciate the author including a section on the tkinter GUI module and tools. It’s helpful to have the basics in a concise format for the times that I am troubleshooting a user interface for a laboratory program or helping someone create a simple status display for an application.
Though it might not be the most exciting read, the Python Pocket Reference does what it does well – a straightforward, up-to-date resource for Python 3.4 and 2.7. Its hints and common idioms may also save a programmer valuable time debugging common mistakes.
23 of 24 people found the following review helpful.
Pretty good, sometimes index lacks
By Casper Chauncey
I refer to this frequently as I am learning Python and it usually gives me the answer but sometimes it takes quite a bit of searching and flipping back and forth. So I think the index and/or organization could be a little better. Some examples:
* If you are trying to look up a concept but you don't know Python's word for it, alternate words likely won't get you there.
* Suppose you want to copy an object, or assign the contents of one object to another, and you're trying to find the Python way to do that. The index does not have entries for "copy" or "contents". It does have an entry for "assignment statement" but that will just assign an object's reference to another variable so now you have two variables pointing to the same object. What you're looking for is under "slicing" but how would you find that unless you already knew it?
A few more details / examples wouldn't hurt either although I understand they are trying to keep a "pocket" reference small.
15 of 15 people found the following review helpful.
Great book for Python scripters
By I. Blais
This book has become a permanent resident in my backpack. I often find myself writing quick python scripts on the go for work. This book has proved immensely valuable when I'm working on a script and don't have network access (if I have internet it's generally faster to google it :). 5/5 would recommend.
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