Catalogue

Catalogue of the Book

Part I: Python Basics

1. Introduction to Python

   • What is Python?

   • History and Evolution

   • Why Python? Features and Applications

   • Setting up Python: Installation and IDEs

   • Writing Your First Python Program

2. Python Syntax and Fundamentals

   • Variables and Data Types

   • Input and Output

   • Comments and Code Style

   • Basic Operators: Arithmetic, Assignment, Comparison, Logical, and Bitwise

3. Control Flow

   • Conditional Statements (if, else, elif)

   • Loops: for and while

   • Loop Control: break, continue, pass

4. Functions

   • Defining and Calling Functions

   • Parameters and Return Values

   • Default and Keyword Arguments

   • Scope and Lifetime of Variables

   • Lambda Functions

5. Data Structures

   • Lists, Tuples, and Strings

   • Dictionaries and Sets

   • Iterating through Data Structures

   • Comprehensions: List, Dictionary, and Set

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Part II: Intermediate Python

1. Object-Oriented Programming (OOP)

   • Classes and Objects

   • Attributes and Methods

   • Constructors and Destructors

   • Inheritance, Polymorphism, and Encapsulation

   • Magic Methods (__str__, __repr__, etc.)

2. Modules and Packages

   • Importing Modules

   • Built-in Modules Overview (os, sys, math, random, etc.)

   • Creating and Using Custom Modules

   • Understanding Python Packages and __init__.py

3. File Handling

   • Reading and Writing Files

   • Working with File Modes

   • Exception Handling in File Operations

   • Managing Directories

4. Error and Exception Handling

   • Types of Exceptions

   • Using try, except, finally

   • Raising Exceptions

   • Custom Exceptions

5. Working with Databases

   • Introduction to sqlite3

   • Connecting to a Database

   • CRUD Operations (Create, Read, Update, Delete)

   • Using ORMs like SQLAlchemy

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Part III: Advanced Python

1. Iterators and Generators

   • Creating Iterators

   • The iter() and next() Functions

   • Writing Generators with yield

   • Generator Expressions

2. Decorators and Context Managers

   • Understanding Functions as Objects

   • Writing and Using Decorators

   • Using with and Custom Context Managers

3. Concurrency and Parallelism

   • Multithreading vs. Multiprocessing

   • Using the threading Module

   • Using the multiprocessing Module

   • Async Programming with asyncio

4. Testing and Debugging

   • Writing Test Cases with unittest

   • Mocking in Python

   • Debugging Tools (pdb, logging, etc.)

   • Profiling and Optimization

5. Web Development with Python

   • Introduction to Flask and Django

   • Setting up a Basic Web Application

   • Working with APIs and REST

   • Template Rendering

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Part IV: Specialized Topics

1. Data Science and Machine Learning with Python

   • Overview of Libraries: numpy, pandas, matplotlib, scikit-learn

   • Data Manipulation with pandas

   • Basic Data Visualization

   • Introduction to Machine Learning Algorithms

2. Working with APIs

   • Consuming REST APIs

   • Using requests and http.client

   • Building APIs with Flask/Django REST Framework

3. Automation with Python

   • Automating Tasks with os and shutil

   • Parsing Files and Data

   • Using selenium for Web Automation

4. Working with Cloud and DevOps

   • Cloud SDKs: AWS, Azure, Google Cloud

   • Writing Deployment Scripts

   • Containerization with Docker

   • Working with CI/CD Pipelines

5. Python and IoT

   • Using Python on Raspberry Pi

   • Working with Sensors and Actuators

   • Building IoT Projects

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Part V: Appendices

• Appendix A: Python Cheat Sheet

• Appendix B: Glossary of Key Terms

• Appendix C: Recommended Python Libraries

• Appendix D: FAQs and Troubleshooting Tips

• Appendix E: Further Reading and Resources

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