Python Basics - A Self-Teaching Introduction

1. About the Course

1. Author : H. Bhasin
2. Type : PDF eBook — Self-Teaching Introduction to Python
3. Language : English
4. License : For educational access via an external host; rights belong to the original author/publisher (all rights reserved unless stated otherwise).

2. Short description

A concise, step-by-step self-study guide to Python covering syntax, variables, data types, control flow, functions, modules, file handling, exceptions, and introductory OOP, reinforced with practical examples and exercises for rapid skill building.

2. Long description

Python Basics: A Self-Teaching Introduction by H. Bhasin is a clear, hands-on primer crafted for beginners and busy students who want to learn Python independently. It emphasizes do-it-yourself learning through short lessons, immediately followed by runnable code and targeted exercises, so readers build confidence while mastering essential concepts.
The opening chapters explain what Python is, why it is a popular programming language, and how to install and run the interpreter on common platforms. You start with the core syntax and first program, then progress to variables, constants, and the fundamental data types such as int, float, bool, and str. Using numerous small examples, the book demonstrates arithmetic and logical operators, expressions, and best practices for input and output.
Next, the guide develops control flow fluency with if/elif/else and iterative constructs like for and while. You learn when to use each pattern, how to manage loops with break and continue, and how to trace logic to avoid common mistakes. A strong emphasis on functions—including parameters, return values, and scope—helps you write modular, reusable code.
The book then explores built-in data structures—lists, tuples, sets, and dictionaries—covering essential methods for searching, updating, sorting, and iteration. Practical sections on strings and slicing teach efficient text processing. You also learn to organize programs with modules and leverage the standard library to accomplish more with less code.
Real-world programming requires robust error handling, so the tutorial includes a focused introduction to exceptions using try, except, else, and finally. File-centric chapters walk through file handling—open, read, write, and with context managers—illustrating how to process data safely and predictably.
To prepare readers for larger applications, the book concludes with the basics of object-oriented programming (OOP): defining classes, creating objects, and using methods and simple inheritance. Throughout, short quizzes, end-of-chapter exercises, and annotated examples reinforce learning and encourage experimentation.
Whether your goal is quick automation, a foundation for data science, or your first steps toward professional software development, this self-teaching course delivers the essential Python toolkit: clean syntax, reliable control flow, strong data structure skills, disciplined modularity, careful error handling, and beginner-friendly OOP—all presented in a concise, practice-first format.

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