Python - In a Nutshell

Preface

Part 1: Getting Started with Python
1. Introduction to Python
The Python Language
The Python Standard Library and Extension Modules
Python Implementations
Python Development and Versions
Python Resources
Installation
Installing Python from Binaries
Installing Python from Source Code
Installing Jython
Installing IronPython
Installing PyPy

2. The Python Interpreter
The python Program
Python Development Environments
Running Python Programs
The jython Interpreter
The IronPython Interpreter
The PyPy Interpreter

Part 2: Core Python Language and Built-ins
3. The Python Language
Lexical Structure
Data Types
Variables and Other References
Expressions and Operators
Numeric Operations
Sequence Operations
Set Operations
Dictionary Operations
Control Flow Statements
Functions

4. Object-Oriented Python
Classes and Instances
Special Methods
Decorators
Metaclasses

5. Exceptions
The try Statement
The with Statement and Context Managers
Exception Propagation
The raise Statement
Exception Objects
Custom Exception Classes
Error-Checking Strategies
The assert Statement

6. Modules
Module Objects
Module Loading
Packages
Distribution Utilities (distutils) and setuptools
Python Environments

7. Core Built-ins and Standard Library Modules
Built-in Types
Built-in Functions
The sys Module
The copy Module
The collections Module
The functools Module
The heapq Module
The argparse Module
The itertools Module

8. Strings and Things
Methods of String and Bytes Objects
The string Module
String Formatting
Text Wrapping and Filling
The pprint Module
The reprlib Module
Unicode

9. Regular Expressions
Regular Expressions and the re Module

Part 3: Python Library and Extension Modules
10. File and Text Operations
Other Chapters That Also Deal with Files
Organization of This Chapter
The io Module
Auxiliary Modules for File I/O
In-Memory “Files”: io.StringIO and io.BytesIO
Compressed Files
The os Module
Filesystem Operations
Text Input and Output
Richer-Text I/O
Interactive Command Sessions
Internationalization

11. Persistence and Databases
Serialization
DBM Modules
Berkeley DB Interfacing
The Python Database API (DBAPI) 2.0

12. Time Operations
The time Module
The datetime Module
The pytz Module
The dateutil Module
The sched Module
The calendar Module

13. Controlling Execution
Site and User Customization
Termination Functions
Dynamic Execution and exec
Internal Types
Garbage Collection

14. Threads and Processes
Threads in Python
The threading Module
The queue Module
The multiprocessing Module
The concurrent.futures Module
Threaded Program Architecture
Process Environment
Running Other Programs
The mmap Module

15. Numeric Processing
The math and cmath Modules
The operator Module
Random and Pseudorandom Numbers
The fractions Module
The decimal Module
The gmpy2 Module
Array Processing
The array Module
Extensions for Numeric Array Computation

16. Testing, Debugging, and Optimizing
Testing
Debugging
The warnings Module
Optimization

Part 4: Network and Web Programming
17. Networking Basics
Networking Principles
The Berkeley Socket Interface
Transport Layer Security (TLS, AKA SSL)

18. Asynchronous Alternatives
Coroutine-Based Async Architectures
The asyncio Module (v3 Only)
The selectors Module

19. Client-Side Network Protocol Modules
Email Protocols
HTTP and URL Clients
Other Network Protocols

20. Serving HTTP
WSGI
Python Web Frameworks

21. Email, MIME, and Other Network Encodings
MIME and Email Format Handling
Encoding Binary Data as ASCII Text

22. Structured Text: HTML
The html.entities (v2: htmlentitydefs) Module
Generating HTML

23. Structured Text: XML
ElementTree

Part 5: Extending, Distributing, v2/v3 Migration
24. Extending and Embedding Classic Python
Extending Python with Python’s C API
Extending Python Without Python’s C API
Cython
Embedding Python

25. Distributing Extensions and Programs
setuptools
Distributing Your Package

26. v2/v3 Migration and Coexistence
Preparing for Python 3
Minimizing Syntax Differences
Choosing Your Support Strategy