Expert Python Programming Table Of Contents


Table of Contents

Preface
Chapter 1: Getting started
Chapter 2: Syntax Best Practices—Below the Class Level
Chapter 3: Syntax Best Practices—Above the Class Level
Chapter 4: Choosing Good Names
Chapter 5: Writing a Package
Chapter 6: Writing an Application
Chapter 7: Working with zc.buildout
Chapter 8: Managing Code
Chapter 9: Managing Life Cycle
Chapter 10: Documenting Your Project
Chapter 11: Test-Driven Development
Chapter 12: Optimization: General Principles and Profiling Techniques
Chapter 13: Optimization: Solutions
Chapter 14: Useful Design Patterns
Index

  • Chapter 1: Getting started
    • Installing Python
      • Python Implementations
        • Jython
        • IronPython
        • PyPy
        • Other Implementations
      • Linux Installation
        • Package Installation
        • Compiling the Sources
      • Windows Installation
        • Installing Python
        • Installing MinGW
        • Installing MSYS
      • Mac OS X Installation
        • Package Installation
        • Compiling the Source
    • The Python Prompt
      • Customizing the Interactive Prompt
        • iPython: An Advanced Prompt
    • Installing setuptools
      • Understanding How It Works
      • setuptools Installation Using EasyInstall
      • Hooking MinGW into distutils
    • Working Environment
      • Using an Editor and Complementary Tools
        • Code Editor
        • Installing and Configuring Vim
        • Using Another Editor
        • Extra Binaries
      • Using an Integrated Development Environment
        • Installing Eclipse with PyDev
    • Summary
  • Chapter 2: Syntax Best Practices—Below the Class Level
    • List Comprehensions
    • Iterators and Generators
      • Generators
      • Coroutines
      • Generator Expressions
      • The itertools Module
        • islice: The Window Iterator
        • tee: The Back and Forth Iterator
        • groupby: The uniq Iterator
        • Other Functions
    • Decorators
      • How to Write a Decorator
      • Argument checking
      • Caching
      • Proxy
      • Context Provider
    • with and contextlib
      • The contextlib Module
      • Context Example
    • Summary
  • Chapter 3: Syntax Best Practices—Above the Class Level
    • Subclassing Built-in Types
    • Accessing Methods from Superclasses
      • Understanding Python's Method Resolution Order (MRO)
      • super Pitfalls
        • Mixing super and classic Calls
        • Heterogeneous Arguments
    • Best Practices
    • Descriptors and Properties
      • Descriptors
        • Introspection Descriptor
        • Meta-descriptor
      • Properties
    • Slots
    • Meta-programming
      • The__new__ Method
      • __metaclass__ Method
    • Summary
  • Chapter 4: Choosing Good Names
    • PEP 8 and Naming Best Practices
    • Naming Styles
      • Variables
        • Constants
        • Public and Private Variables
      • Functions and Methods
        • The Private Controversy
        • Special Methods
        • Arguments
      • Properties
      • Classes
      • Modules and Packages
    • Naming Guide
      • Use "has" or "is" Prefix for Boolean Elements
      • Use Plural for Elements That Are Sequences
      • Use Explicit Names for Dictionaries
      • Avoid Generic Names
      • Avoid Existing Names
    • Best Practices for Arguments
      • Build Arguments by Iterative Design
      • Trust the Arguments and Your Tests
      • Use *args and **kw Magic Arguments Carefully
    • Class Names
    • Module and Package Names
    • Working on APIs
      • Tracking Verbosity
      • Building the Namespace Tree
      • Splitting the Code
      • Using Eggs
      • Using a Deprecation Process
    • Useful Tools
      • Pylint
      • CloneDigger
    • Summary
  • Chapter 5: Writing a Package
    • A Common Pattern for All Packages
      • setup.py, the Script That Controls Everything
        • sdist
        • build and bdist
        • bdist_egg
        • install
        • How to Uninstall a Package
        • develop
        • test
        • register and upload
        • Creating a New Command
        • setup.py Usage Summary
        • Other Important Metadata
    • The Template-Based Approach
      • Python Paste
      • Creating Templates
    • Creating the Package Template
    • Development Cycle
    • Summary
  • Chapter 6: Writing an Application
    • Atomisator: An Introduction
    • Overall Picture
    • Working Environment
      • Adding a Test Runner
      • Adding a packages Structure
    • Writing the Packages
      • atomisator.parser
        • Creating the Initial Package
        • Creating the Initial doctest
        • Building the Test Environment
        • Writing the Code
      • atomisator.db
        • SQLAlchemy
        • Providing the APIs
      • atomisator.feed
      • atomisator.main
    • Distributing Atomisator
    • Dependencies between Packages
    • Summary
  • Chapter 7: Working with zc.buildout
    • zc.buildout Philosophy
      • Configuration File Structure
        • Minimum Configuration File
        • [buildout] Section Options
      • The buildout Command
      • Recipes
        • Notable Recipes
        • Creating Recipes
      • Atomisator buildout Environment
        • buildout Folder Structure
      • Going Further
    • Releasing and Distributing
      • Releasing the Packages
      • Adding a Release Configuration File
      • Building and Releasing the Application
    • Summary
  • Chapter 8: Managing Code
    • Version Control Systems
      • Centralized Systems
      • Distributed Systems
        • Distributed Strategies
      • Centralized or Distributed?
      • Mercurial
      • Project Management with Mercurial
        • Setting Up a Dedicated Folder
        • Configuring hgwebdir
        • Configuring Apache
        • Setting Up Authorizations
        • Setting Up the Client Side
    • Continuous Integration
      • Buildbot
        • Installing Buildbot
        • Hooking Buildbot and Mercurial
        • Hooking Apache and Buildbot
    • Summary
  • Chapter 9: Managing Life Cycle
    • Different Approaches
      • Waterfall Development Model
      • Spiral Development Model
      • Iterative Development Model
    • Defining a Life Cycle
      • Planning
      • Development
      • Global Debug
      • Release
    • Setting Up a Tracking System
      • Trac
        • Installation
        • Apache Settings
        • Permission Settings
      • Project Life Cycle with Trac
        • Planning
        • Development
        • Cleaning
        • Release
    • Summary
  • Chapter 10: Documenting Your Project
    • The Seven Rules of Technical Writing
      • Write in Two Steps
      • Target the Readership
      • Use a Simple Style
      • Limit the Scope of the Information
      • Use Realistic Code Examples
      • Use a Light but Sufficient Approach
      • Use Templates
    • A reStructuredText Primer
      • Section Structure
      • Lists
      • Inline Markup
      • Literal Block
      • Links
    • Building the Documentation
      • Building the Portfolio
        • Design
        • Usage
        • Operations
    • Make Your Own Portfolio
      • Building the Landscape
        • Producer's Layout
        • Consumer's Layout
    • Summary
  • Chapter 11: Test-Driven Development
    • I Don't Test
      • Test-Driven Development Principles
        • Preventing Software Regression
        • Improving Code Quality
        • Providing the Best Developer Documentation
        • Producing Robust Code Faster
      • What Kind of Tests?
        • Acceptance Tests
        • Unit Tests
        • Python Standard Test Tools
    • I Do Test
      • Unittest Pitfalls
      • Unittest Alternatives
        • nose
        • py.test
      • Fakes and Mocks
        • Building a Fake
        • Using Mocks
      • Document-Driven Development
        • Writing a Story
    • Summary
  • Chapter 12: Optimization: General Principles and Profiling Techniques
    • The Three Rules of Optimization
      • Make It Work First
      • Work from the User's Point of View
      • Keep the Code Readable(and thus maintainable)
    • Optimization Strategy
      • Find Another Culprit
      • Scale the Hardware
      • Write a Speed Test
    • Finding Bottlenecks
      • Profiling CPU Usage
        • Macro-Profiling
        • Micro-Profiling
        • Measuring Pystones
      • Profiling Memory Usage
        • How Python Deals with Memory
        • Profiling Memory
      • Profiling Network Usage
    • Summary
  • Chapter 13: Optimization: Solutions
    • Reducing the Complexity
      • Measuring Cyclomatic Complexity
      • Measuring the Big-O Notation
      • Simplifying
        • Searching in a List
        • Using a Set Instead of a List
        • Cut the External Calls, Reduce the Workload
        • Using Collections
    • Multithreading
      • What is Multithreading?
      • How Python Deals with Threads
      • When Should Threading Be Used?
        • Building Responsive Interfaces
        • Delegating Work
        • Multi-User Applications
        • Simple Example
    • Multiprocessing
      • Pyprocessing
    • Caching
      • Deterministic Caching
      • Non-Deterministic Caching
      • Pro-Active Caching
      • Memcached
    • Summary
  • Chapter 14: Useful Design Patterns
    • Creational Patterns
      • Singleton
    • Structural Patterns
      • Adapter
        • Interfaces
      • Proxy
      • Facade
    • Behavioral Patterns
      • Observer
      • Visitor
      • Template
    • Summary

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