Learning Python
Covers Python 2.6 and 3.x
(Sprache: Englisch)
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be...
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Produktinformationen zu „Learning Python “
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course.
Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.
Learn about Python's major built-in object types, such as numbers, lists, and dictionaries
Create and process objects using Python statements, and learn Python's general syntax model
Structure and reuse code using functions, Python's basic procedural tool
Learn about Python modules: packages of statements, functions, and other tools, organized into larger components
Discover Python's object-oriented programming tool for structuring code
Learn about the exception-handling model, and development tools for writing larger programs
Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing
Klappentext zu „Learning Python “
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course.Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.
Learn about Python's major built-in object types, such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python's general syntax model
Structure and reuse code using functions, Python's basic procedural tool
Learn about Python modules: packages of statements, functions, and other tools, organized into larger components
Discover Python's object-oriented programming tool for structuring code
Learn about the exception-handling model, and development tools for writing larger programs
Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing
Inhaltsverzeichnis zu „Learning Python “
From the contents:Preface
Part I. Getting Started
1. A Python Q&A Session
Why Do People Use Python?
Software Quality
Developer Productivity
Is Python a "Scripting Language"?
OK, but What's the Downside?
Who Uses Python Today?
What Can I Do with Python?
Systems Programming
GUIs
Internet Scripting
Component Integration
Database Programming
Rapid Prototyping
Numeric and Scientific Programming
Gaming, Images, AI, XML, Robots, and More
What Are Python's Technical Strengths?
It's Object Oriented
It's Free
It's Portable
It's Powerful
It's Mixable
It's Easy to Use
It's Easy to Learn
It's Named After Monty Python
How Does Python Stack Up to Language X?
Chapter Summary
Brain Builder 20
Chapter Quiz 20
Quiz Answers
2. How Python Runs Programs
Introducing the Python Interpreter
Program Execution
The Programmer's View
Python's View
Byte code compilation
The Python Virtual Machine (PVM)
Performance implications
Development implications
Execution Model Variations
Python Implementation Alternatives
CPython
Jython
IronPython
Execution Optimization Tools
The Psyco just-in-time compiler
The Shedskin Csharp translator
Frozen Binaries
Future Possibilities?
Chapter Summary
Brain Builder 33
Chapter Quiz 33
Quiz Answers
3. How You Run Programs
Interactive Coding
Using the Interactive Prompt
System Command Lines and Files
Using Command Lines and Files
Unix Executable Scripts
Clicking File Icons
Clicking Icons on Windows
The raw_input Trick
Other Icon-Click Limitations
Module Imports and Reloads
The Grander Module Story: Attributes
Modules and namespaces
import and reload Usage Notes
The IDLE User Interface
IDLE Basics
Using IDLE
Advanced IDLE Tools
Other IDEs
Embedding Calls
Frozen Binary Executables
Text Editor Launch Options
Other Launch Options
Future Possibilities?
Which Option Should I Use?
Chapter Summary
Brain Builder 59
Chapter
... mehr
Quiz 59
Quiz Answers
Brain Builder: Part I Exercises 61
Part II. Typesand Operations
4. Introducing Python Object Types
Why Use Built-in Types?
Python's Core Data Types
Numbers
Strings
Sequence Operations
Immutability
Type-Specific Methods
Getting Help
Other Ways to Code Strings
Pattern Matching
Lists
Sequence Operations
Type-Specific Operations
Bounds Checking
Nesting
List Comprehensions
Dictionaries
Mapping Operations
Nesting Revisited
Sorting Keys: for Loops
Iteration and Optimization
Missing Keys: if Tests
Tuples
Why Tuples?
Files
Other File-Like Tools
Other Core Types
How to Break Your Code's Flexibility
User-Defined Classes
And Everything Else
Chapter Summary
Quiz Answers
Brain Builder: Part I Exercises 61
Part II. Typesand Operations
4. Introducing Python Object Types
Why Use Built-in Types?
Python's Core Data Types
Numbers
Strings
Sequence Operations
Immutability
Type-Specific Methods
Getting Help
Other Ways to Code Strings
Pattern Matching
Lists
Sequence Operations
Type-Specific Operations
Bounds Checking
Nesting
List Comprehensions
Dictionaries
Mapping Operations
Nesting Revisited
Sorting Keys: for Loops
Iteration and Optimization
Missing Keys: if Tests
Tuples
Why Tuples?
Files
Other File-Like Tools
Other Core Types
How to Break Your Code's Flexibility
User-Defined Classes
And Everything Else
Chapter Summary
... weniger
Autoren-Porträt von Mark Lutz
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 is also the author of O'Reilly's Programming Python, 3rd Edition and Python Pocket Reference, 3rd Edition. Mark began teaching Python classes in 1997, and has instructed more than 200 Python training sessions as of 2007. Mark also has BS and MS degrees in Computer Science and 25 years of software development experience.
Bibliographische Angaben
- Autor: Mark Lutz
- 2009, 4th ed., XLIX, 1160 Seiten, mit Schwarz-Weiß-Abbildungen, Maße: 18 x 6,5 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 0596158068
- ISBN-13: 9780596158064
Sprache:
Englisch
Rezension zu „Learning Python “
"Sehr umfangreiches Buch. Umfasst neben den Standardthemen auch die Besonderheiten, die mit Python 2.6 und 3.0 in die Sprache Einzug halten. Neben einfachen Beispielen liefert der Autor auch komplexe Programme, mit denen er die Techniken erläutert." - linuxuser, Juni 2010
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