Download A Python Book (Beginning Python, Advanced Python, and Python Exercises) By Dave Kuhlman

Introduction

This book A Python Programming, an open-source universally useful translated programming dialect accessible for an expansive scope of working frameworks. There are as of now three noteworthy executions: the standard usage written in C, Jython written in Java, and IronPython written in C# for the .NET condition. There are two normal forms at present being used: 2.x and 3.x. This book portrays basically form 2, however does now and again reference changes in adaptation 3.

Contents 1

 Part 1 ­­ Beginning Python.

1.1 Introductions Etc

1.1.1 Resources.

1.1.2 A general description of Python.

1.1.3 Interactive Python

1.2 Lexical matters

1.2.1 Lines.

1.2.2 Comments..

1.2.3 Names and tokens

1.2.4 Blocks and indentation.

1.2.5 Doc strings.

1.2.6 Program structure…

1.2.7 Operators

1.2.8 Also see

1.2.9 Code evaluation

1.3 Statements and inspection ­­ preliminaries

1.4 Built­in data­types

1.4.1 Numeric types.

1.4.2 Tuples and lists

1.4.3 Strings.

1.4.3.1 The new string.format method

1.4.3.2 Unicode strings

1.4.4 Dictionaries..

1.4.5 Files.

1.4.6 Other built­in types.

1.4.6.1 The None value/type

1.4.6.2 Boolean values

1.4.6.3 Sets and frozensets

1.5 Functions and Classes ­­ A Preview…

1.6 Statements.

1.6.1 Assignment statement

1.6.2 import statement

1.6.3 print statement….

1.6.4 if: elif: else: statement

1.6.5 for: statement

1.6.6 while: statement

continue and break statements

1.6.8 try: except: statement

1.6.9 raise statement.

1.6.10 with: statement.

1.6.10.1 Writing a context manager.

1.6.10.2 Using the with: statement

6.12 case statement.

1.7 Functions, Modules, Packages, and Debugging.

1.7.1 Functions

1.7.1.1 The def statement

1.7.1.2 Returning values

1.7.1.3 Parameters

1.7.1.4 Arguments

1.7.1.5 Local variables

1.7.1.6 Other things to know about functions

1.7.1.7 Global variables and the global statement..

1.7.1.8 Doc strings for functions.

1.7.1.9 Decorators for functions

1.7.2 lambda

1.7.3 Iterators and generators

1.7.4 Modules1.

7.4.1 Doc strings for modules.

1.7.5 Packages

1.8 Classes in object Oriented programming

1.8.1 A simple class

1.8.2 Defining methods

1.8.3 The constructor

1.8.4 Member variables

1.8.5 Calling methods

1.8.6 Adding inheritance.

1.8.7 Class variables.

1.8.8 Class methods and static methods

1.8.9 Properties.

1.8.10 Interfaces

1.8.11 New­style classes

1.8.12 Doc strings for classes..

1.8.13 Private members.

1.9 Special Tasks

1.9.1 Debugging tools.

1.9.2 File input and output

1.9.3 Unit tests.

Part 2 ­­ Advanced Python

2.1 Introduction ­­ Python

­­ (Slightly) Advanced Python Topics.

Regular Expressions

2.2.1 Defining regular expressions

2.2.2 Compiling regular expressions.

2.2.3 Using regular expressions.

2.2.4 Using match objects to extract a value.

2.2.5 Extracting multiple items.

2.2.6 Replacing multiple items.Iterator Object

2.3.1 Example ­ A generator function

2.3.2 Example ­ A class containing a generator method

2.3.3 Example ­ An iterator class.

2.3.4 Example ­ An iterator class that uses yield.

2.3.5 Example ­ A list comprehension

2.3.6 Example ­ A generator expression

2.4 Unit Tests.

2.4.1 Defining unit tests

2.4.1.1 Create a test class

2.5 Extending and embedding Python

2.5.1 Introduction and concepts.

2.5.2 Extension modules

2.5.3 SWIG

2.5.4 Pyrex.

2.5.5 SWIG vs. Pyrex

2.5.6 Cython

2.5.7 Extension types.

2.5.8 Extension classes python and object oriented programming

2.6 Parsing python

2.6.1 Special purpose parsers.

2.6.2 Writing a recursive descent parser by hand

2.6.3 Creating a lexer/tokenizer with Plex.

2.6.4 A survey of existing tools

2.6.5 Creating a parser with PLY.

2.6.6 Creating a parser with pyparsing.

2.6.6.1 Parsing comma­de limited linesn

2.6.6.2 Parsing functors in python

2.6.6.3 Parsing names, phone numbers, etc

A more complex example. GUI Applications

2.7.2 PyGtk.

2.7.2.1 A simple message dialog box

2.7.2.2 A simple text input dialog box.

2.7.2.3 A file selection dialog box

2.7.3 EasyGUI

2.7.3.1 A simple EasyGUI example.

2.7.3.2 An EasyGUI file open dialog example.

2.8 Guidance on Packages and Modules.

2.8.2 Implementing Packages.

2.8.3 Using Packages.

2.8.4 Distributing and Installing Packages

2.9 End Matter

2.9.1 Acknowledgements and Thanks.

3 Part 3 ­­ Python Workbook.

3.2 Lexical Structures Python

3.2.1 Variables and names..

3.2.2 Line structure

3.2.3 Indentation and program structure.

3.3 Execution Model

3.4 Built­in Data Types in Python

3.4.1.1 Literal representations of numbers

3.4.1.2 Operators for numbers..

3.4.1.3 Methods on numbers.

3.4.2.1 Literal representation of lists.

3.4.2.2 Operators on lists

3.4.2.3 Methods on lists.

3.4.2.4 List comprehensions

3.4.3 Strings in Python Programming

3.4.3.1 Characters

3.4.3.2 Operators on strings..

3.4.3.3 Methods on strings

3.4.3.4 Raw strings

3.4.3.5 Unicode strings

3.4.4 Dictionaries.

3.4.4.1 Literal representation of dictionaries

3.4.4.2 Operators on dictionaries

3.4.4.3 Methods on dictionaries.

3.4.6 A few miscellaneous data types.

3.5.3 if: statement exercises Python

3.5.4 for: statement exercises Python

3.5.5 while: statement exercises Python

3.5.6 break and continue statements

3.5.7 Exceptions and the try:except: and raise statements.

3.6.1 Optional arguments and default values.

3.6.2 Passing functions as arguments

3.6.3 Extra args and keyword args..

3.6.3.1 Order of arguments (positional, extra, and keyword args).

3.6.4 Functions and duck­typing and polymorphism.

3.6.5 Recursive functions.

3.6.6 Generators and iterators

3.7 Object­oriented programming and classes..

3.7.1 The constructor.

3.7.2 Inheritance ­­ Implementing a subclass Python

3.7.3 Classes and Polymorphism Python

3.7.4 Recursive calls to methods.

3.7.5 Class variables, class methods, and static methods

3.7.5.1 Decorators for class method and static method.

3.8 Additional and Advanced Topics

3.8.1 Decorators and how to implement them

3.8.1.1 Decorators with arguments

3.8.1.2 Stacked decorators

3.8.1.3 More help with decorators

3.8.2 Iterables

3.8.2.1 A few preliminaries on Iterables

3.8.2.2 More help with iterables

3.9 Applications and Recipes

3.9.1 XML ­­ SAX, minidom, ElementTree, Lxml

3.9.2 Relational database access

3.9.3 CSV ­­ comma separated value files

3.9.4 YAML and PyYAML

 Part 4 ­­ Generating Python Bindings for XML

4.2 Generating the code Python

4.3 Using the generated code to parse and export an XML document.

4.4 Some command line options you might want to know.

4.5 The graphical front­end

4.6 Adding application­specific behavior

4.6.1 Implementing custom subclasses.

4.6.2 Using the generated “API” from your application.

4.6.3 A combined approach

4.7 Special situations and uses

4.7.1 Generic, type­independent processing

4.7.1.1 Step 1 ­­ generate the bindings

4.7.1.2 Step 2 ­­ add application­specific code.

4.7.1.3 Step 3 ­­ write a test/driver harness.

4.7.1.4 Step 4 ­­ run the test application

4.8.1 Children defined with maxOccurs greater than

4.8.2 Children defined with simple numeric types.

4.8.3 The type of an element’s character content.

4.8.4 Constructors and their default values

 

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