Authors: Prof. (Dr.) Vikas Misra, Dr. Sunil Sharma, Mr. Nitin Tripathi and Dr. Fateh Bahadur Kunwar

ISBN: 978-81-989856-0-6

DOI: https://doi.org/10.59646/pe/403

Date of Publication: July 14, 2025

About the Book:

Python Essentials: From Beginner to Expert and Beyond is a comprehensive and progressive guide that walks readers through the entire Python programming landscape, from the basics to advanced concepts, practical applications, and real-world projects. The book begins with foundational topics such as setting up a Python development environment, understanding Python syntax, and executing the first Python program. It provides an introduction to key programming concepts like variables, data types, operators, and control flow mechanisms, including conditionals and loops, along with list, dictionary, and set comprehensions. Readers are introduced to Python’s object-oriented programming (OOP) principles, such as classes, inheritance, polymorphism, and encapsulation, along with the use of special methods and design patterns to structure code efficiently.

The book progresses to more advanced topics like error handling, debugging, and testing with libraries such as unittest and pytest. It covers modules, virtual environments, and packaging code, emphasizing best practices for creating reusable, modular Python code. The importance of working with files, serialization, and APIs is also addressed, providing readers with the tools to interact with web APIs, manage file operations, and parse data in formats like JSON, CSV, and XML. Additionally, chapters on automation and DevOps demonstrate how Python can be used for automating tasks, file management, and web scraping, while also exploring the use of Python for building command-line interfaces (CLI) and writing cron jobs.

In the realm of data science and machine learning, the book delves into data analysis using libraries like pandas and NumPy, and data visualization with Matplotlib and Seaborn. It introduces machine learning concepts, including working with scikit-learn, and explores deep learning techniques using PyTorch, focusing on building and training neural networks. Readers also learn about AI experimentation in Google Colab, collaborating in notebooks, managing data, and using GPU/TPU for enhanced computation.

The book culminates with practical projects, such as building a real-time data dashboard, creating a blog platform, and developing machine learning models, offering hands-on experience to reinforce the concepts. It concludes with advanced topics on AI-powered applications, model deployment, and tracking experiments, making it an invaluable resource for anyone seeking to master Python in fields such as web development, automation, machine learning, data science, and AI/ML. Through its detailed explanations and real-world applications, Python Essentials serves as a thorough reference for both beginners and experienced developers aiming to advance their Python skills.