Table of Content

"Chapter 1: Rapid Introduction to Procedural Programming
Chapter 2: Data Types
Chapter 3: Collection Data Types
Chapter 4: Control Structures and Functions
Chapter 5: Modules
Chapter 6: Object-Oriented Programming
Chapter 7: File Handling
Chapter 8: Advanced Programming Techniques
Chapter 9: Debugging, Testing, and Profiling
Chapter 10: Processes and Threading
Chapter 11: Networking
Chapter 12: Database Programming
Chapter 13: Regular Expressions
Chapter 14: Introduction to Parsing
Chapter 15: Introduction to GUI Programming
"
 

Salient Features

A Fully Revised Edition Featuring New Material on Coroutines, Debugging, Testing, Parsing, String Formatting, and More
Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3's features and idioms. Programming in Python 3, Second Edition, brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own.

Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won't find anywhere else. He begins by illuminating Python's "beautiful heart": the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise-one concept and hands-on example at a time. Coverage includes

Developing in Python using procedural, objectoriented, and functional programming paradigms
Creating custom packages and modules
Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing
Leveraging advanced data types, collections, control structures, and functions
Spreading program workloads across multiple processes and threads
Programming SQL databases and key—value DBM files
Debugging techniques-and using Test Driven Development to avoid bugs in the first place
Utilizing Python's regular expression mini-language and module
Parsing techniques, including how to use the third-party PyParsing and PLY modules
Building usable, efficient, GUI-based applications
Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, coroutines, and more"