Programming is no longer limited to students of computer science alone. In today’s academic and professional environment, it plays an important role across disciplines such as Mathematics, Science, Engineering, Data Analysis, and Research. Recognizing this growing importance, the Board of Studies in Mathematics, Gondwana University, Gadchiroli, has introduced Python Programming as a Vocational Skill Course (VSC) in the second semester of the Bachelor of Science (BSc) programme.
This book, “Python Made Simple: A Hands-On Guide for Undergraduate Beginners”, has been written intentionally for BSc Semester II students of Gondwana University, Gadchiroli. The content of the book fully incorporates all the topics prescribed in the syllabus of the Vocational Skill Course (VSC) in Python Programming and is structured to meet the academic and practical requirements of the course.
Python has been selected as the introductory programming language because of its simple syntax, high readability, and wide applicability in mathematics, scientific computing, data analysis, and research. The book assumes no prior knowledge of programming and begins with the very fundamentals, gradually building concepts in a clear and systematic manner through examples, exercises, and illustrations.
In addition to conceptual understanding, the book places strong emphasis on practical learning. It provides step-by-step coding explanations for all the Practicals prescribed by the Board of Studies, Gondwana University, Gadchiroli, for the Vocational Skill Course in Mathematics. This approach is intended to help students understand program logic, perform laboratory work with confidence, and prepare effectively for practical examinations.
Special care has been taken to explain concepts in simple language, introduce topics in a logical sequence, avoid unnecessary technical jargon, and ensure hands-on practice at every stage of learning. The aim of this book is not only to teach Python programming syntax, but also to develop logical thinking, problem-solving skills, and confidence in programming among undergraduate students.
Contents –
UNIT I : PYTHON FUNDAMENTALS AND FIRST STEPS
This unit focuses on getting comfortable with the Python environment and writing first simple programs.
Chapter 1 – Getting Started with Python
1.1 What is programming and why Python?
1.2 Installing Python (Windows/Linux) and looking at tools
1.2.1 Understanding the Python interpreter and shell
1.2.2 Using IDLE for first programs
1.2.3 Choosing a code editor: a quick look at VS code & PyCharm
1.3 Structure of a Python program
1.4 Indentation and its significance
1.5 Writing the first program – print(“Hello, World!”)
1.6 Adding clarity with comments and docstrings
Chapter 2 – Python Basics, Core Elements, Operators and Expressions
2.1 Identifiers and keywords
2.2 Variables: storing data in memory
2.3 Python naming conventions (snake_case)
2.4 Basic data types: int, float, str, bool
2.5 The type() function: checking your data
2.6 The None type
2.7 Input and output statements (input(), print())
2.8 Type conversion (Typecasting) and operations among types
Chapter 3 – Operators and Expressions
3.1 Arithmetic, Relational, Logical, Bitwise, and Assignment operators
3.2 Operator precedence and associativity
Chapter 4 – Functions: The Building Blocks
4.1 Introduction to functions and their need
4.2 Syntax of defining and calling functions
4.3 Passing information and getting data back: Parameters, arguments, and return values
4.4 Elementary Programming Examples
4.5 A quick overview of useful built-in functions
UNIT II : CREATING PYTHON PROGRAMS – CONTROLLING FLOW AND LOGIC
This unit explains how to make decisions and repeat actions in the programs, and how to find and fix errors.
Chapter 5 – Making Decisions with Conditionals
5.1. Conditional statements: if Statement, if…else Statement, if…elif…else Chain
5.2 Nested conditional statements
5.3. Branching and selection examples (grading, comparisons)
Chapter 6 – Looping and Iteration
6.1 The for loop and the range() function
6.2 The while Loop
6.3 Loop Control: break, continue, and pass
6.4 The else Clause in loops
6.5 Nested loops
6.6 exit() function
Chapter 7 – Introduction to Data Structures
7.1 Introduction to Core Collections
7.2 Lists: Ordered Mutable Sequences
7.3 Tuples: Immutable Sequences
7.4 Sets: Unordered Unique Elements
7.5 Dictionaries: Key-Value Pairs
7.6 Strings Revisited: Sequence Operations
7.7 Understanding Mutability
7.8 Comparative Analysis and Selection Guidelines
Chapter 8 – Testing and Debugging Programs
8.1 Understanding Syntax, logical and runtime errors
8.2 First debugging tool: reading tracebacks
8.3 Using print for debugging
8.4 Using pdb for Step-by-Step Execution
8.5 Python Tutor for code visualization
UNIT III : DEEP DIVE INTO FUNCTIONS AND DATA STRUCTURES
This unit brings together concepts from the first two units to solve more complex problems using advanced function features and data structure operations.
Chapter 9 – Functions In-Depth
9.1 Modular programming with functions
9.2 Local and global variables
9.3 Using the global Keyword
9.4 Default and Keyword Arguments
9.5 Recursive functions
9.6 Introduction to Lambda (Anonymous) Function
UNIT IV : BUILT-IN DATA STRUCTURES AND ALGORITHMS
This unit explores Python’s powerful built-in data collections in depth and introduces fundamental algorithms for searching and sorting data, equipping you to handle complex data manipulation tasks.
Chapter 10 – Searching and Sorting Algorithms
10.1 Linear and Binary Search implementation
10.2 Selection, Insertion, and Bubble Sort algorithms
10.3 An intuitive comparison of algorithm performance (time complexity)
Chapter 11 – File Handling and Data Manipulation
11.1 Opening and closing files
11.2 Reading from and writing to text files
11.3 Using context managers (with statement)
11.4 Handling exceptions: try…except blocks and File Not Found Error
11.5 Working with CSV files
UNIT V : VISUALIZATION USING 2D AND 3D GRAPHICS
This unit unlocks the power of visual storytelling with data, teaching you how to create compelling 2D plots, 3D objects, and histograms to bring your data and mathematical concepts to life.
Chapter 12 – Introduction to Data Visualization
12.1 The power of visualization
12.2 Installing packages with pip
12.3 Introduction to Matplotlib
12.4 Understanding 2D and 3D coordinate systems
Chapter 13 – 2D Graphics and Data Visualization
13.1 Plotting simple lines and points
13.2 Adding Axes, Titles, labels, and legends
13.3 Plotting Sine, cosine, and polynomial functions
Chapter 14 – 3D Graphics and Visualization
14.1 Working with 3D axes in Matplotlib
14.2 Plotting 3D objects – sphere, cone, arrow, ring, cylinder
Chapter 15 – Drawing Histograms and Graphical Structures
15.1 Creating histograms using matplotlib and seaborn
15.2 Visualizing and analysing numeric data
Practical Exercises prescribed by BoS Mathematics, GUG for Vocational Skill Course