Python in Hindi

यदि आप Python Programming Language का प्रयोग करते हुए Programming करना सीखना चाहते हैं,  तो ये पुस्‍तक आपके लिए काफी उपयोगी साबित हो सकती है, क्‍योंकि इस पुस्‍तक में Python Programming से सम्‍बंधित विभिन्‍न Core Concepts को विभिन्‍न प्रकार के Simple Examples द्वारा काफी विस्‍तार से व काफी सरल भाषा में समझाया है।

इस पुस्‍तक को आप एक Core Python की EBook भी मान सकते हैं जिसमें Python Programming से सम्‍बंधित Basics को काफी सरल भाषा में व ढ़ेर सारे Simple Examples का प्रयोग करते हुए काफी विस्‍तार से समझाया गया है।

Python Programming अपने आप में काफी बड़ा Subject है। इसी वजह से सम्‍पूर्ण Python Programming को किसी एक Single EBook में समाहित करना Practically Possible नहीं है। लेकिन फिर भी इस पुस्‍तक में हमने Python Programming से सम्‍बंधित सभी Important Core Concepts को Best Possible तरीके से Include करने का प्रयास किया है, और हमें पूर्ण विश्‍वास है कि ये पुस्‍तक निश्चित रूप से आपके Python Programming के ज्ञान में वृद्धि करेगी। इस EBook में Include किए गए Contents निम्‍नानुसार हैं:

Index of Contents – Python in Hindi

Python – The Introduction

Advantages of Python

Python is an Scripting Language
Python is High Performing Scripting Language
Python is Multi-Purpose Scripting Language
Python is Developer Friendly Scripting Language
Python is Portable Scripting Language
Python have Large Collection of Supports
Python Supports Multiple Types of Component Integration

Disadvantages of Python
Python Popularity
Where is Used Python?

System Programming
Graphical User Interfaces – GUIs
Internet and Network Programming
Component Integration
Database Programming
Rapid Prototyping
Scientific and Numeric Programming
Designing, Image Processing and Game Programming
Hardware, System and Embedded Programming
Document and Data Processing Programming

Python Features for Developer?

Python is Object Oriented, Procedural and Functional
Free and Open Source
Python is Portable
Python is Powerful

Dynamically Typed

Automatic Dynamic Memory Management
Built-In Support for Large-Scale Application Development
Built-In Data-Structure Object Types
Data-Structure Object Types Built-In Access and Manipulation Support
Standard Core-Libraries Support
Third-Party External Libraries Support

Python is Multi-Language Supported
Python is Easy to Learn and Use

Python v/s Others

Python – Interpreter Internal Working

Python Interpreter

IDLE = Integrated Development and Learning Environment
Python Shell in Command Line
Text Editors

Interactive Prompt and Python Shell

Only Python Commands in Interactive Prompt
No print() Statement in Interactive Prompt
No Indentation in Interactive Prompt or Python Script File
Only One Statement Runs at a Time in Interactive Prompt
Multiline Compound Statements in Interactive Prompt

Linux/Unix Executable Scripts

Modules – The Python Script Files

Importing and Reloading Module
Module Attributes
Modules and Namespaces

Internal Working of Python

Byte Code Compilation
Python Virtual Machine (PVM)

Python Implementation Alternatives

CPython – The Standard
Jython – Python for Java
IronPython – Python for .NET
Stackless – Python for Concurrency
PyPy – Python for Speed

Frozen Binaries – The Python Executable Package

Python – Object Types

Python Program Hierarchy
Benefits of Built-In Types
Core Data Types
Identifiers

Numbers

Python Comment
Python print() Function
Type Conversion or Type Casting
Complex Mathematical Operations

String

Identifier – Variable
Negative Indexing
Slicing
Immutability – Unchangeability
join() Method
bytearray() Function
Type-Specific Methods
Method Chaining in Python
String Formatting
dir() Function
help() Function
String Coding Other Ways
Unicode Supported Strings

Lists

Sequence Operations
Type-Specific Operations
Bound Checking
Nesting
Comprehensions

Dictionaries

Mapping Operations
Nesting
Working with Non-Existing Keys
Sorting the Dictionary
Iteration and Optimization

Tuples

Files

Binary Bytes Files
Unicode Text Files

Other Core Types

Boolean Core Types
Type Testing
User-Defined Data Types or User Defined Class
Everything Else is Related to Program Execution

Python – Numeric Types

Numeric Type Fundamentals

Numerical Literals

Built-In Numerical Tools

Python Expression Operators

Operator Precedence
Automatic Type Conversion – Type Casting
Manual or Explicit Type Conversion –  Type Casting
Operator Overloading and Polymorphism
Working with Numbers
Python Variables
Normal Comparison and Chained Comparison
Classic Division and Floor Division
Complex Numbers
Bitwise Operators

Built-In Mathematical Functions

Other Numeric Types

Decimal Type
Fraction Type
Sets
Boolean

Python – Dynamic Typing

Variables, Objects and References

Variable Creation
Variable Types
Use of Variable

Header Fields – Designator and Reference Counter

Shared References

Shared Reference and In-Place Change
Shared Reference and Equality Check

Python – String Fundamentals

Unicode
String Basics
String Literals

Single Quotes and Double Quotes
Escape Sequence Character Constants
Treat Escape Sequence Character as Raw String
Triple Quotes Code Multiline Block Strings

String Actions

Indexing and Slicing
String Conversion

String Methods

Find and Replace
split() Method

String Formatting

String Formatting Expression
String Formatting Method Call

Python – List and Dictionary

Lists

Basic Operations
Common Methods

Dictionaries

Dictionary Use Cases

Python – Tuples and Files

Tuples
Files

Text and Binary Files
Writing and Reading Python Objects
Writing and Reading Native Python Objects Using Pickle
Writing and Reading Python Objects in JSON Format

Python – Assignment Statements

Basic Rules of Creating Python Program
Assignment Statements
Shorthand Assignment Statements
Expression Assignment Statements
Print Statement

Python – Conditional Statements

if, if … else and if … elif … else Statements
Block Statements Delimiters
Truth Values and Boolean Tests
Turnery Expression – The Shorthand of if … else

Python – Looping and Iteration Protocol

while Loop
break, continue, pass and Loop else
for Loop
Nested Loop
Loops and File Handling
Counter Loop
Iteration Protocol

Manual Iterations

List Comprehension

Python – Function Basics

def Statement for Defining Functions
Python Polymorphism
Local Variables and Statement Block
Python Scope Basics

Name Resolution Scheme – The LEGB Rule
Built – In Scope
Global Scope

Minimize Global Variable Names
Minimize Cross-Module Variable Value Modification

Enclosing Scope – Nested Functions
Closures – The Factory Function
Scopes with Lambda Expression
nonlocal Statement

Python – Function Advanced

Shared References, Arguments and Return Values
Arguments Matching and Default Arguments
Keyword-Only Arguments
Recursive Function
Function Object Attributes
Function Object Annotations
lambda Expression – The Anonymous Functions
Functional Programming Tools

Python – Comprehensions and Generations

List Comprehension and Function Tools

List Comprehension and Map
List Comprehension – Testing and Nesting
List Comprehension Syntax
List Comprehensions and Matrixes

Generator Functions and Expressions

Generator Functions

yield vs return Statement

Generator Expressions

Generator Expressions – Iterable and Comprehension

Set and Dictionary Comprehension

Scopes and Comprehension Variables
Comprehending Set and Dictionary Comprehensions

Python – Modules Basics

Why Use Modules?

Code Reuse
System Namespace Partitioning
Implementing Shared Services or Shared Data

Simple Architecture of Python Program

Imports and Attributes
Standard Library Modules
Working of import Statement

Fine the Module to be Loaded
Compile the Module if Not Already Compiled
Run the Loaded Module

Module Search Path of Python

sys.path List
Module File Selection

Import and from Statements
Module Namespaces
Modules Reloading

Python – Module Packages

Package Import

Package Initialization
Module Usability Declaration
Module Namespace Initialization
from … * Statement Behavior

Why Package Import than Module Import
Package Relative Imports
Python 3.3+ Namespace Packages
Module Design Concepts
Data Hiding in Modules
__future__ – Enabling Future Language Features
__name__ and __main__ Usage Modes

Last but not Least. There is more…