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‘Python Programming with Practical’ is a Simple version for
S.Y.B.C.A. (NEP) students of our Prashant Publication.
This text is in accordance with the new syllabus NEP-2025
recommended by the Kavayitri Bahainabai Chaudhari North...

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Python Programming with Practical
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‘Python Programming with Practical’ is a Simple version for
S.Y.B.C.A. (NEP) students of our Prashant Publication.
This text is in accordance with the new syllabus NEP-2025
recommended by the Kavayitri Bahainabai Chaudhari North Maharashtra
University, Jalgaon, which has been serving the need of S.Y.B.C.A.
Computer Science students from various colleges. This text is also
useful for the student of Engineering, B.Sc. (Information Technology
and Computer Science), M.Sc, M.C.A., B.B.M., M.B.M. other different
Computer courses.
We are extremely grateful to Prof. Dr. S.R. Kolhe, Chairman, Board
of Studies, and all BOS members of Kavayitri Bahinabai Chaudhari North
Maharashtra University, Jalgaon for his valuable guidance.
We are grateful to Prof.Sanjay E. Pate of Nanasaheb Yashwantrao
Narayanrao Chavan Arts, Science, and Commerce College, Chalisgaon for
coordinating all authors and publication team.
We are obligated to Principals and Librarians and staff of respective
colleges for their encouragement.
We are zery much thankful to Shri. Rangrao Patil of Prashant
Publications, who has shown extreme co-operation during the preparation
of this book, for getting the book published in time and providing an
opportunity to be a part of this book.
We shall be glad to receive any suggestions for improving the contents
of this book.

UNIT – 1……………………………………………………………………………………………..7
Introduction to Python Programming
1.1 Introduction to Python: History of Python, Need, features of Python, Applications of Python.
1.2 Fundamentals of Python Programming: Python Identifiers, Variables and keywords, Putting Comments, Expressions and Statements. Accepting Input and Displaying Output.
1.3 Standard Data Types: Basic, None, Boolean, Numbers, Type conversion Function, Operators in Python, Operator Precedence.
1.4 Flow Control Statements: Conditional Statements, Looping Statements, break, continue, pass Statements
UNIT – 2……………………………………………………………………………………………56
Basic of Python Programming
2.1 Introduction to String: String Literals, Assign String to a Variable, Multiline Strings, Operations on Strings (Index Operator, Slice Operator): Working with the Characters of a String, String Methods (lower, upper, count, index, find,
replace).
2.2 Concepts of Python Lists: Creating, Initializing and Accessing elements in lists, Traversing, Updating and deleting elements from Lists. List Operations: Concatenation, List Indexing, Slices, Built- in List functions and methods.
2.3 Introduction to Tuples: Creating Tuples, Deleting Tuples, Accessing elements in a Tuple, Tuples Operations: Concatenation, Repetition, Membership, and Iteration. Built- in Tuples functions and methods
2.4 Introduction to Dictionary: Concept of key-value pair. Creating, Initializing and Accessing elements in a Dictionary. Traversing, Updating and Deleting elements in a Dictionary, Built- in Dictionary functions and methods. UNIT – 3……………………………………………………………………………………………99
Python Functions and Modules
3.1 Introduction to Functions: Defining a Function (def.), Calling a Function, Function Arguments- Required arguments, Keyword arguments, Default arguments, Variable-length arguments, Scope of Variables, Void functions and
Function returning values, Recursion,
3.2 Advance Function Topics: Anonymous Function Lambda, Mapping Functions.
3.3 Introduction to Modules: Creating Modules and Packages, Importing Modules, Using the dir() Function, Built-in Modules
UNIT – 4………………………………………………………………………………………….118
Object Oriented Concept in Python
4.1 Object-Oriented Concepts in Python: Overview of OOP Terminology Creating Classes, Creating Objects, Accessing Attributes, Built-In Class Attributes.
4.2 Garbage Collection: Constructor, Destructor, Overloading Methods, Overriding Methods
4.3 Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, pyTorch, Seaborn, pyBrain, Flask.

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