See also: Python, Python Bibliography and Bibliography of Python Libraries and Web Frameworks, Programming Python: Powerful Object-Oriented Programming by Mark Lutz, Learning Python: Powerful Object-Oriented Programming by Mark Lutz
Python Pocket Reference: Python In Your Pocket, by Mark Lutz, B00HZ41PGC (PPR)
Fair Use Source: B00HZ41PGC (PPR)
About This Book:
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You’ll 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 Lutz—widely recognized as the world’s leading Python trainer—Python Pocket Reference is an ideal companion to O’Reilly’s 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 more
- Statements and syntax for creating and processing objects
- Functions and modules for structuring and reusing code
- Python’s object-oriented programming tools
- Built-in functions, exceptions, and attributes
- Special operator overloading methods
- Widely used standard library modules and extensions
- Command-line options and development tools
- Python idioms and hints
- The Python SQL Database API
About the Author:
Mark Lutz is a leading Python trainer, the author of Python’s earliest and best-selling texts, and a pioneering figure in the Python world.
Mark is the author of the three O’Reilly books: Learning Python, Programming Python, and Python Pocket Reference, all currently in fourth or fifth editions. He has been using and promoting Python since 1992, started writing Python books in 1995, and began teaching Python classes in 1997. As of Spring 2013, Mark has instructed 260 Python training sessions, taught roughly 4,000 students in live classes, and written Python books that have sold 400,000 units and been translated to at least a dozen languages.
Together, his two decades of Python efforts have helped to establish it as one of the most widely used programming languages in the world today. In addition, Mark has been in the software field for 30 years. He holds BS and MS degrees in computer science from the University of Wisconsin where he explored implementations of the Prolog language, and over his career has worked as a professional software developer on compilers, programming tools, scripting applications, and assorted client/server systems.
Book Details:
- ASIN: B00HZ41PGC
- ISBN-10: 1449357016
- ISBN-13: 978-1449357016
- Publisher: O’Reilly Media; 5th edition (January 22, 2014)
- Publication date: January 22, 2014
- Print length: 334 pages
Introduction:
“Python is a general-purpose, multiparadigm, open source computer programming language, with support for object-oriented, functional, and procedural coding structures. It is commonly used both for standalone programs and for scripting applications in a wide variety of domains, and is generally considered to be one of the most widely used programming languages in the world.” (PPR)
“Among Python’s features are an emphasis on code readability and library functionality, and a design that optimizes developer productivity, software quality, program portability, and component integration. Python programs run on most platforms in common use, including Unix and Linux, Windows and Macintosh, Java and .NET, Android and iOS, and more.” (PPR)
“This pocket reference summarizes Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. It is intended to serve as a concise reference tool for developers and is designed to be a companion to other books that provide tutorials, code examples, and other learning materials.” (PPR)
“This fifth edition covers both Python 3.X and 2.X. It focuses primarily on 3.X, but also documents differences in 2.X along the way. Specifically, this edition has been updated to be current with Python versions 3.3 and 2.7 as well as prominent enhancements in the imminent 3.4 release, although most of its content also applies both to earlier and to later releases in the 3.X and 2.X lines.” (PPR)
“This edition also applies to all major implementations of Python — including CPython, PyPy, Jython, IronPython, and Stackless — and has been updated and expanded for recent changes in language, libraries, and practice. Its changes include new coverage of the MRO and super(); formal algorithms of inheritance, imports, context managers, and block indentation; and commonly used library modules and tools, including json, timeit, random, subprocess, enum, and the new Windows launcher.” (PPR)
Note:
“In this book, “3.X” and “2.X” mean that a topic applies to all commonly used releases in a Python line. More specific release numbers are used for topics of more limited scope (e.g., “2.7” means 2.7 only). Because future Python changes can invalidate applicability to future releases, also see Python’s “What’s New” documents, currently maintained at https://docs.python.org/3/whatsnew/index.html for Pythons released after this book.” (PPR)
Table of Contents:
Detailed Table of Contents:
Introduction
Book Conventions
Command-Line Program Specification
Python Operational Environment Variables
Python Command Option Environment Variables
Python Windows Launcher File Directives
Python Windows Launcher Command Lines
Python Windows Launcher Environment Variables
Python Built-in Types and Operators
Python Operators and Precedence
Python Atomic terms and Python dynamic typing
Python Sequence Operation Notes
Python Specific Built-in Types
- Python Strings: “Python 3.X has three string types with similar interfaces: Python str, Python bytes, Python bytearray” (PPR)
- Python String literals and creation
- Python String operations
- Python String formatting
- Python String formatting expression
- Python Formatting expression syntax
- Python String formatting method
- Python String formatting method syntax
- Python Template string substitution
- Python String methods
- Python byte methods and Python bytearray methods
- Python Searching methods
- Python Splitting methods and Python joining methods
- Python Formatting methods
- Python Content test methods
- The original Python string module
- Python Unicode Strings
- Unicode support in Python 3.X
- Python byte string and Python bytearray strings
- Unicode support in Python 2.X
- Python Lists
- Python List Literals and creation
- Python List Operations
- Python List comprehension expressions
- The Python iteration protocol
- Python Generator expressions
- Other Python comprehension expressions
- Python Dictionaries
- Python Dictionary Literals and creation
- Python Dictionary Operations
- Python Tuples
- Python Tuple Literals and creation
- Python Tuple Operations
- Python Files
- Python Input files
- Python Output files
- Any files with Python
- Other Python file attributes (some read-only)
- Python File context managers
- Python File usage notes
- Python Sets
- Python Set Literals and creation
- Python Set Operations
- Other Python Types and Conversions
- Python Boolean
- Python Type Conversions
Python Statements and Python Syntax:
- Python Syntax Rules
- Python Name Rules
- Python Name format
- Python Name conventions
Specific Python Statements:
- The Python Assignment Statement
- Python Augmented assignment
- Python Normal sequence assignment
- Python Extended sequence assignment (3.X)
- The Python Expression Statement
- Python Call syntax
- Python Arbitrary arguments call syntax
- The Python print Statement
- Python 2.X print statements
- The Python if Statement
- The Python while Statement
- The Python for Statement
- The Python pass Statement
- The Python break Statement
- The Python continue Statement
- The Python del Statement
- The Python def Statement
- Python 3.X keyword-only arguments
- Python 3.X function annotations
- Python lambda expressions
- Python Function defaults and Python attributes
- Python Function decorators and Python method decorators
- The Python return Statement
- The Python yield Statement
- Python Generator function changes in Python 3.3
- The Python global Statement
- The Python nonlocal Statement
- The Python import Statement
- Python Package imports
- Python 3.3 namespace packages
- Python Import algorithm
- The Python from Statement
- Python Package relative import syntax
- The Python class Statement
- Python Class decorators in Python 3.X, 2.6, and 2.7
- Python Metaclasses
- The try Statement
- Python 2.X try statement forms
- The Python raise Statement
- Python 3.X chained exceptions
- Python Class exceptions
- Python 2.X raise statement forms
- The Python assert Statement
- The Python with Statement
- Multiple context managers in Python 3.1 and 2.7
- Python Context manager protocol
- Python 2.X Statements
Python Namespace Rules and Python Scope Rules:
Python Qualified Names: Python Object Namespaces
Python Unqualified Names: Python Lexical Scopes
Python Nested Scopes and Python Closures
Enclosing Python scopes and Python defaults
Python Object-Oriented Programming:
Python Classes and Python Instances
Python Class objects provide default behavior
Python Instance objects are generated from Python classes
Python Inheritance rules
Python Pseudoprivate Attributes
Python Module privates
Python Class privates
New-Style Python Classes
Python Formal Inheritance Rules
Python Classic classes: DFLR
New-style Python classes: MRO
Example: nondiamonds
Example: diamonds
New-style Python inheritance algorithm
New-style Python precedence and Python context
Python Operator Overloading Methods:
Python Methods for All Types
Python Methods for Collections (Python Sequences, Python Mappings)
Python Methods for Numbers (Python Binary Operators)
Basic Python binary methods
Python Right-side binary methods
Python Augmented binary methods
Python Methods for Numbers (Other Python Operations)
Python Methods for Descriptors
Python Methods for Context Managers
Python 2.X Operator Overloading Methods
Methods in Python 3.X only
Methods in Python 2.X only
Python Built-in Functions:
Python 2.X Built-in Functions
Python 3.X built-ins not supported by Python 2.X
Python 2.X built-ins not supported by Python 3.X
Built-in Python Exceptions:
Python Superclasses: Categories
Specific Python Exceptions
Specific Python OSError Exceptions
Python Warning Category Exceptions
Python Warnings Framework
Python 3.2 Built-in Exceptions
Python 2.X Built-in Exceptions
Python Built-in Attributes:
Python Standard Library Modules:
The Python sys Module:
The Python string Module:
Python Functions and Python Classes
Python Constants
The Python os System Module:
Python Administrative Tools
Python Portability Constants
Python Shell Commands
Python Environment Tools
Python File Descriptor Tools
Python File Pathname Tools
Python Process Control
The Python os.path Module
The Python re Pattern-Matching Module:
Module Functions
Python Regular Expression Objects
Python Match Objects
Python Regex Pattern Syntax
Python Object Persistence Modules:
The Python shelve Module and Python dbm Module
Python File opens
Python File operations
The Python pickle Module
Python Pickling interfaces
Python Unpickling interfaces
Python pickle usage notes
The Python tkinter GUI Module and Tools:
Python tkinter Example
Python tkinter Core Widgets
Python Common Dialog Calls
Python Module tkinter.messagebox (tkMessageBox in Python 2.X)
Module tkinter.simpledialog (tkSimpleDialog in Python 2.X)
Python Module tkinter.colorchooser (tkColorChooser in Python 2.X)
Python Module tkinter.filedialog (tkFileDialog in Python 2.X)
Additional Python tkinter Classes and Tools
Python Tcl/Tk-to-Python/tkinter Mappings
Python Internet Modules and Tools:
Other Python Standard Library Modules:
The Python math Module
The Python time Module
The Python timeit Module
The Python datetime Module
The Python random Module
The Python json Module
The Python subprocess Module
The Python enum Module
The Python struct Module
Python Threading Modules
Python SQL Database API:
Python SQL Database API Usage Example
Python SQL Database Module Interface
Python SQL Database Connection Objects
Python SQL Database Cursor Objects
Python SQL Database Type Objects and Python SQL Database Constructors
More Python Hints and Python Idioms:
Python Core Language Hints
Python Environment Hints
Python Usage Hints
Assorted Python Hints
Python Index of Topics
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