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+Python
+The below table largely covers the TOC for 5 popular books. Learning Python (Fourth Edition) has a more in-depth look at concepts than any of the other books. However this book also does not essentially cover some aspects that are covered in other books.
+No.	Diving into Python	The Python Standard Library by Example	Python Essential Reference (4th edition)	The Quick Python Book	Learning Python
+Introductory Concepts covering installation on different OS, version history, interpreter. This section also covers questions like Why, Who, What and Where on Python.
+1	1.	Installing Python
+2.	Which Python is right for you ?
+3.	Python & your OS
+4.	Interactive Shell
+5.	Summary	1.	Introduction (Text)	1.	Tutorial Introduction
+2.	Lexical Conventions and Syntax	1.	About Python
+2.	Getting Started	1.	Python Q & A Session
+1.	Why do people use Python ?
+2.	Downside of using it
+3.	Who uses Python Today ?
+4.	What Can I do with Python ?
+5.	Python vs Language X
+6.	Test your Knowledge
+2.	How Python runs programs
+1.	Python Interpreter
+2.	Program Execution
+1.	Programmer View
+2.	Python View
+3.	Execution Model Variations
+1.	Implementation Alternatives
+2.	Execution Optimization Tools
+3.	Frozen Binaries
+3.	How you run programs
+1.	Interactive prompt
+2.	Your first script
+<snipped>
+Python Object Types, Numeric Types, Data Structures, Control Structures, Scopes and Arguments
+2	1.	Your first program
+2.	Declaring Functions
+3.	Python Data types vs Other Languages
+4.	Documenting Functions
+5.	Everything is an Object
+6.	The Import Search Path
+7.	What is an Object ?
+8.	Indenting Code
+9.	Testing Modules
+10.	Native Datatypes
+1.	Dictionaries
+2.	List
+3.	Tuples
+11.	Variables & referencing	1.	Data Structures	1.	Types and Objects
+2.	Operators and Expressions
+3.	Program Structure and Control Flow
+4.	Functions and Functional Programming
+5.	Classes and Object Oriented Programming
+6.	Modules, Packages and Distribution
+7.	Input and Output
+8.	Execution Environment
+9.	Testing, Debugging, Profiling and Tuning
+<Covered further along in the book>
+Data Structures, Algorithms & Code simplification
+String & Text Handling	1.	Python Overview
+1.	Built-in Data types
+2.	Control Structures
+3.	Module
+4.	OOPs
+2.	Basics
+1.	Lists
+2.	Dictionaries
+3.	Tuple
+4.	Sets
+5.	Strings
+6.	Control Flow
+3.	Functions
+4.	Modules and Scoping Rules
+5.	Python Programs	1.	Introducing Python Object Types
+1.	Why use built-in Types ?
+2.	Core data types
+3.	Numbers, Lists, Dictionaries, Tuples, Files, Other Core Types
+4.	User Defined Classes
+2.	Numeric Types
+1.	Literals, Built-in tools, expression operators
+2.	Formats, Comparisons, Division, Precision
+3.	Complex Numbers
+4.	Hexadecimal, Octal & Binary
+5.	Bitwise Operations
+6.	Decimal, Fraction, Sets, Booleans
+<Covered further along in the book>
+1.	Statements & Syntax
+2.	Assignments, Expressions & Syntax
+3.	If Tests & Syntax Rules
+4.	Scopes
+5.	Arguments
+Built-in functions, Function Design, Recursive Functions, Introspection, Annotations, Lambda, Filter and Reduce
+3	1.	Power of Introspection
+1.	Optional and Named Arguments
+2.	type, str, dir and other built-in functions
+3.	Object References with getattr
+4.	Filtering Lists
+5.	Lambda Functions
+6.	Real world Lambda functions
+ 	None	1.	Built-in functions
+2.	Python run-time services	None	Built-in functions are covered as part of the topic above but from a numeric perspective
+1.	Advanced Function Topics
+1.	Function Design
+2.	Recursive Functions
+3.	Attributes and Annotation
+4.	Lambda
+5.	Mapping Functions over sequences
+6.	Filter and Reduce
+<Covered further along in the book>
+Special Class Attributes
+Display Tool
+OOPS, Modules
+4	1.	Objects and Object Orientation
+1.	Importing Modules
+2.	Defining Classes
+3.	Initializing and Coding Classes
+4.	Self & __init__
+5.	Instantiating Classes
+6.	Garbage Collection
+7.	Wrapper Classes
+8.	Special Class Methods
+9.	Advanced Class Methods
+10.	Class Attributes
+11.	Private Functions	None	Covered partially section 2	1.	Packages
+2.	Data Types and Objects
+3.	Advanced Object Oriented Features	1.	Modules
+1.	Why use Modules ?
+2.	Program Architecture
+3.	Module Search Path
+4.	Module Creation & Usage
+5.	Namespaces
+6.	Reloading Modules
+7.	Packages
+2.	Advanced Module Topics
+1.	Data Hiding in Modules
+2.	as Extension for import and from
+3.	Modules are Objects: Metaprograms
+4.	Transitive Module Reloads
+5.	Module Design Concepts
+6.	Module Gotchas
+3.	OOP
+1.	Why use classes ?
+2.	Classes & Instances
+3.	Attribute Inheritance Search
+4.	Class Method Calls
+5.	Class Trees
+6.	Class Objects & Default Behavior
+7.	Instance Objects are Concrete Items
+8.	Intercepting Python Operators
+9.	Classes Vs. Dictionaries
+10.	Class customization by Inheritance
+11.	Operator Overloading
+12.	Subclasses
+13.	Polymorphism in Action
+14.	Designing with Classes
+15.	Mix-in Classes
+Advanced Class Topics
+5	None	None	None	None	1.	Advanced Class Topics
+1.	Extending Types by Embedding
+2.	Extending Types by Subclassing
+3.	Static and Class Methods
+4.	Decorators and Metaclasses
+5.	Class Gotchas
+Exceptions
+6	1.	Exceptions and File Handling
+1.	Handling Exceptions
+2.	Using exceptions for other purposes	 	 	1.	Exceptions	1.	Exceptions Basics
+1.	Why use Exceptions ?
+2.	Default Exception Handler
+3.	User-Defined Exceptions
+4.	Class Based Exceptions
+5.	Designing with Exceptions
+XML, HTTP, SOAP, Network Programming, I18N, Unicode
+7	1.	Regular Expressions
+2.	Parsing / Processing Mark-up languages (HTML, XML)
+1.	Unicode
+3.	HTTP Web Services
+1.	Headers
+2.	Debugging
+4.	SOAP Web Services	1.	Networking
+2.	Internet
+3.	Email
+4.	Internationalization and Localization	1.	Network Programming and Sockets
+2.	Internet Application Programming
+3.	Web Programming
+4.	Internet Data Handling & Encoding	1.	Network, web programming	1.	Unicode and Bytes Strings
+Miscellaneous
+8	None	1.	Algorithms
+2.	Cryptography
+3.	Data compression and archiving
+4.	Processes and Threads
+5.	Data persistence & exchange	1.	Extending & Embedding Python	1.	GUI	None