Learning Python Powerful Object Oriented Programming 5th Edition by Mark Lutz ISBN 1449355730 978-1449355739

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ISBN 10: 1449355730
ISBN 13: 978-1449355739
Author: Mark Lutz

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

Learning Python Powerful Object-Oriented Programming 5th Table of contents:

Part I: Python Basics

1. Introduction to Python

• Overview of Python
• Python vs. Other Languages
• How Python Works (Interpreter, Virtual Machine)
• Setting Up Python Environment
• Writing and Running Python Code

2. Types and Operations

• Basic Data Types: Integers, Strings, Lists, Dictionaries
• Operators and Expressions
• Type Conversion and Casting
• Immutable vs. Mutable Types
• Working with Collections: Lists, Tuples, Sets, and Dictionaries

3. Statements and Syntax

• Basic Statements: Assignment, Expression, Print
• Control Flow: if, elif, else
• Loops: for, while, break, continue
• Functions: Defining and Calling Functions
• Exception Handling: try, except, raise, finally

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Part II: Object-Oriented Programming (OOP)

4. Classes and Objects

• Defining Classes and Creating Objects
• Instance Variables and Methods
• The Self Parameter
• Constructors: init Method
• Instance vs. Class Variables

5. Inheritance and Polymorphism

• Inheriting from Base Classes
• Method Overriding
• The super() Function
• Multiple Inheritance
• Polymorphism and Dynamic Binding

6. Special Methods

• Special Methods: str, repr, len, getitem, etc.
• Operator Overloading
• Working with Comparisons: eq, lt, etc.
• Implementing Container Objects: iter, next

7. Encapsulation and Abstraction

• Access Control: Public, Protected, Private
• Getter and Setter Methods
• Property Decorators
• Class and Static Methods
• Class Attributes and Static Variables

8. Object-Oriented Design Patterns

• Design Patterns Overview: Singleton, Factory, etc.
• Introduction to Pythonic Design Patterns
• Real-World Use of Patterns in Python
• Using Inheritance and Composition Effectively

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Part III: Advanced Python Features

9. Python Functions and Functional Programming

• Defining Functions with Arguments
• Lambda Functions
• Closures and Nested Functions
• Functional Programming Techniques: map(), filter(), reduce()
• Higher-Order Functions and Decorators

10. Modules and Packages

• Importing and Using Modules
• Organizing Code with Packages
• Python Standard Library Overview
• Writing and Creating Modules
• Module Namespace and Scope

11. Iterators and Generators

• What Are Iterators?
• Defining Iterators in Python
• Creating Generators with yield
• Infinite Generators and Lazy Evaluation
• Generator Expressions

12. File Handling and Data Persistence

• Reading and Writing Files in Python
• Working with Text and Binary Files
• File Modes and Context Managers
• Pickle Module for Data Serialization
• JSON Module for Data Exchange

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Part IV: Advanced Object-Oriented Techniques

13. Metaclasses and Dynamic Class Creation

• What Are Metaclasses?
• Creating and Using Metaclasses
• Class Decorators and Meta-programming
• Dynamically Adding Methods to Classes
• Customizing the Class Creation Process

14. Python’s Memory Model and Optimization

• Understanding Python’s Memory Management
• Object Interning and Garbage Collection
• Optimizing Python Code for Speed
• Profiling Python Code

15. Python and the Web

• Introduction to Web Programming with Python
• Web Frameworks Overview: Flask, Django
• RESTful API Design with Python
• Web Scraping with BeautifulSoup and Requests

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Part V: Appendices and Reference Material

16. Python’s Built-in Functions and Modules

• Built-in Functions Overview
• Working with Python’s Built-in Libraries
• Frequently Used Standard Library Modules
• Third-Party Libraries and Tools for Python

17. The Python Interactive Mode

• Using the Python Shell
• Testing Code in Interactive Mode
• Debugging Python Code
• Using IDEs and Python Debuggers

18. Best Practices in Python Programming

• Writing Pythonic Code
• Code Readability and Style Guidelines
• Unit Testing in Python
• Version Control and Python Projects

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