Python Pocket Reference
Python In Your Pocket
Published on 22. January 2014
266 pages
978-1-4493-5698-9 (ISBN)
Description
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need.Written by Mark Lutzwidely recognized as the worlds leading Python trainerPython Pocket Reference is an ideal companion to OReillys classic Python tutorials, Learning Python and Programming Python, also written by Mark.This fifth edition covers:Built-in object types, including numbers, lists, dictionaries, and moreStatements and syntax for creating and processing objectsFunctions and modules for structuring and reusing codePythons object-oriented programming toolsBuilt-in functions, exceptions, and attributesSpecial operator overloading methodsWidely used standard library modules and extensionsCommand-line options and development toolsPython idioms and hintsThe Python SQL Database API
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Content
- Cover
- Copyright
- Table of Contents
- Chapter 1. Python Pocket Reference
- Introduction
- Book Conventions
- Python Command-Line Usage
- Python Command Options
- Command-Line Program Specification
- Python 2.X Command Options
- Python Environment Variables
- Operational Variables
- Python Command Option Variables
- Python Windows Launcher Usage
- Launcher File Directives
- Launcher Command Lines
- Launcher Environment Variables
- Built-in Types and Operators
- Operators and Precedence
- Operator Usage Notes
- Operations by Category
- Sequence Operation Notes
- Specific Built-in Types
- Numbers
- Strings
- Unicode Strings
- Lists
- Dictionaries
- Tuples
- Files
- Sets
- Other Types and Conversions
- Statements and Syntax
- Syntax Rules
- Name Rules
- Specific Statements
- The Assignment Statement
- The Expression Statement
- The print Statement
- The if Statement
- The while Statement
- The for Statement
- The pass Statement
- The break Statement
- The continue Statement
- The del Statement
- The def Statement
- The return Statement
- The yield Statement
- The global Statement
- The nonlocal Statement
- The import Statement
- The from Statement
- The class Statement
- The try Statement
- The raise Statement
- The assert Statement
- The with Statement
- Python 2.X Statements
- Namespace and Scope Rules
- Qualified Names: Object Namespaces
- Unqualified Names: Lexical Scopes
- Nested Scopes and Closures
- Object-Oriented Programming
- Classes and Instances
- Pseudoprivate Attributes
- New-Style Classes
- Formal Inheritance Rules
- Operator Overloading Methods
- Methods for All Types
- Methods for Collections (Sequences, Mappings)
- Methods for Numbers (Binary Operators)
- Methods for Numbers (Other Operations)
- Methods for Descriptors
- Methods for Context Managers
- Python 2.X Operator Overloading Methods
- Built-in Functions
- Python 2.X Built-in Functions
- Built-in Exceptions
- Superclasses: Categories
- Specific Exceptions
- Specific OSError Exceptions
- Warning Category Exceptions
- Warnings Framework
- Python 3.2 Built-in Exceptions
- Python 2.X Built-in Exceptions
- Built-in Attributes
- Standard Library Modules
- The sys Module
- The string Module
- Functions and Classes
- Constants
- The os System Module
- Administrative Tools
- Portability Constants
- Shell Commands
- Environment Tools
- File Descriptor Tools
- File Pathname Tools
- Process Control
- The os.path Module
- The re Pattern-Matching Module
- Module Functions
- Regular Expression Objects
- Match Objects
- Pattern Syntax
- Object Persistence Modules
- The shelve and dbm Modules
- The pickle Module
- The tkinter GUI Module and Tools
- tkinter Example
- tkinter Core Widgets
- Common Dialog Calls
- Additional tkinter Classes and Tools
- Tcl/Tk-to-Python/tkinter Mappings
- Internet Modules and Tools
- Other Standard Library Modules
- The math Module
- The time Module
- The timeit Module
- The datetime Module
- The random Module
- The json Module
- The subprocess Module
- The enum Module
- The struct Module
- Threading Modules
- Python SQL Database API
- API Usage Example
- Module Interface
- Connection Objects
- Cursor Objects
- Type Objects and Constructors
- More Hints and Idioms
- Core Language Hints
- Environment Hints
- Usage Hints
- Assorted Hints
- Index
