Programming Python, 4th Edition
Programming Python, 4th Edition
Powerful Object-Oriented Programming
By Mark Lutz
Publisher: O'Reilly Media
Final Release Date: December 2010
Pages: 1632
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.
Topics include:
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
Learning Python, 5th Edition
Learning Python, 5th Edition
Powerful Object-Oriented Programming
By Mark Lutz
Publisher: O'Reilly Media
Final Release Date: June 2013
Pages: 1600
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
Explore Python’s major built-in object types such as numbers, lists, and dictionaries
Create and process objects with Python statements, and learn Python’s general syntax model
Use functions to avoid code redundancy and package code for reuse
Organize statements, functions, and other tools into larger components with modules
Dive into classes: Python’s object-oriented programming tool for structuring code
Write large programs with Python’s exception-handling model and development tools
Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
Data Structures and Algorithms with JavaScript
If you’re using JavaScript on the server-side, you need to implement classic data structures that conventional object-oriented programs (such as C# and Java) provide. This practical book shows you how to use linked lists, stacks, queues, and graphs, as well as classic algorithms for sorting and searching data in your JavaScript programs.
Each chapter includes at least one real-world application of the data structure or data structures discussed, along with exercises that help you further explore the practical application of various data structures and algorithms.
Implement data structures and algorithms within the constraints of JavaScript
Explore real-world applications to learn how JavaScript uses these data structures
Get a helpful JavaScript programming overview
Learn methods for handling advanced algorithms
Data Structures and Algorithms Using Python
Data Structures and Algorithms Using Python
Algorithms, 4th Edition
Algorithms, 4th Edition