By Allen B. Downey
ISBN-10: 1449332021
ISBN-13: 9781449332020
As a way to application, operating with Python is a superb strategy to begin. This hands-on advisor takes you thru the language one step at a time, starting with uncomplicated programming suggestions sooner than relocating directly to services, recursion, information constructions, and object-oriented design.
Through routines in each one bankruptcy, you’ll test programming ideas as you study them. Think Python is perfect for college students on the highschool or university point, in addition to self-learners, home-schooled scholars, and pros who have to study programming basics.
• commence with the fundamentals, together with language syntax and semantics
• Get a transparent definition of every programming notion
• examine values, variables, statements, services, and knowledge buildings in a logical development
• detect easy methods to paintings with records and databases
• comprehend items, equipment, and object-oriented programming
• Use debugging options to mend syntax, runtime, and semantic blunders
• discover interface layout, info buildings, and GUI-based courses via case reports
Read or Download Think Python PDF
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Additional resources for Think Python
Example text
1139 Table of Contents | xxix Preface This book provides an introduction to the Python programming language. Python is a popular open source programming language used for both standalone programs and scripting applications in a wide variety of domains. It is free, portable, powerful, and remarkably easy and fun to use. Programmers from every corner of the software industry have found Python’s focus on developer productivity and software quality to be a strategic advantage in projects both large and small.
983 What’s a Decorator? Managing Calls and Instances Managing Functions and Classes Using and Defining Decorators Why Decorators? The Basics Function Decorators Class Decorators Decorator Nesting Decorator Arguments Decorators Manage Functions and Classes, Too Coding Function Decorators Tracing Calls State Information Retention Options Class Blunders I: Decorating Class Methods Timing Calls Adding Decorator Arguments Coding Class Decorators Singleton Classes Tracing Object Interfaces Class Blunders II: Retaining Multiple Instances Decorators Versus Manager Functions Why Decorators?
X lines). It’s intended for programmers using Python 2, programmers using Python 3, and programmers stuck somewhere between the two. That is, you can use this book to learn either Python line. 6 differences and tools are also noted along the way for programmers using older code. While the two versions are largely the same, they diverge in some important ways, and I’ll point these out along the way. 6 print statement, too, so you can make sense of earlier code. 0, and will point out when such extensions are not present in older Pythons.