Mark Lutz is the world leader in Python training, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python community since 1992. He has been a software developer for 25 years, and is the author of O'Reilly's Programming Python, 3rd Edition and Python Pocket Reference, 3rd Edition.
Programming Pythonby Mark Lutz
If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing,/i>
If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming.
You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose.
- Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basics
- System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more
- GUI programming: Learn to use Python’s tkinter widget library
- Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques
- More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python
- O'Reilly Media, Incorporated
- Publication date:
- Edition description:
- Fourth Edition
- Sales rank:
- Product dimensions:
- 6.90(w) x 9.20(h) x 2.40(d)
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I think the world of this book; Mark Lutz has done a fantastic job writing a comprehensive guide for many of Python's most useful features. I own the hard copy of the first release of the fourth edition, and it has been a fine resource for me, the last couple of years. It's an enormous book, though, and I wanted a more portable version. I opted for the Nook version rather than the PDF version from O'Reilly, and I believe this was the wrong choice. As a Nook product, Programming Python 4/e has a number of very frustrating flaws. First, the text of this ebook is that of the late 2010 release. The print version of the 4th edition has been updated a few times since the 2010 first printing, as indicated on the copyright pages of the respective printings, but the Nook edition I purchased in March 2013 does not include those updates. Caveat emptor. A second and far more value-diminishing flaw is that there is no Table of Contents within the text, for navigating straight to the topic you're interested in. This is an unbelievable omission: the book is 1,600 pages in hard copy, and 6,206 pages on my Nook device. That's a lot of ground to navigate without a map! (Nook's "Go To" function does work, but it only pulls up links to the six main parts of the book, plus the front matter and index--not the individual chapters, let alone the detailed sub-headings listed in the printed book's wonderfully complete 17-page Table of Contents. True, following the "Go To" link to Part III will pull up a list of the chapters in that part; but again, there is no way to navigate directly to the section you are interested in.) The typical chapter is about a hundred printed pages long, which amounts to several hundred pages on the Nook. Inevitably, unless the topic you are looking for happens to be on page one of a chapter, you'll end up spending a great deal of time skimming page after page after page, hoping to find what you are looking for, eventually. This introduces a fantastic waste of time into a busy programmer's workflow, and undermines one of the main reasons for using an ebook rather than a printed book: swiftness and convenience of access. Third, and most depressingly, the text formatting on the Nook completely messes up the whitespace in the code samples. If you're a Python programmer, that fact alone is reason enough to pass on this Nook edition. I would love to give five stars to Lutz's excellent book. But the parties responsible for converting his fine text have rendered it a virtually unusable, one-star Nook product.