Prerequisites:

• Basic Computer Literacy: Students should be familiar with basic computer operations, such as file management and using a text editor.

• Logical Aptitude: A capacity for logical and analytical thinking is beneficial.

• No prior programming experience is required. This course is designed for beginners.

is course aims to equip students with the fundamental knowledge and skills needed to effectively utilize Python as a powerful and versatile programming language. The curriculum covers core programming concepts, including syntax, data types, control flow, functions, and data structures. It also introduces students to object-oriented programming (OOP) principles and file handling. Upon completion, students will have a solid foundation in Python, enabling them to write code independently, contribute to Python-based projects, and pursue further specialization in areas like data analysis, web development, or automation.

Upon successful completion of this course, students will be able to:

• CO1: Master Fundamentals: Gain a solid understanding of Python programming fundamentals, including syntax, data types, control structures, and functions.

• CO2: Design Modular Programs: Be able to design and implement modular programs using functions and modules to improve code reusability and maintainability.

• CO3: Handle Data and Files: Become capable of reading from and writing to files, as well as handling different file formats for data input and output operations.

• CO4: Apply Object-Oriented Principles: Understand the principles of object-oriented programming (OOP) and be able to create classes, objects, and inheritance hierarchies to model real-world problems.

• CO5: Utilize Core Data Structures: Proficiently use Python's built-in data structures like lists, tuples, and dictionaries to store and manipulate data collections.

4. Detailed Course Outline

Module 1: Python Fundamentals (6 Hours)

• Introduction: Features of Python, The Python Virtual Machine (PVM), Memory Management.

• Python Tokens: Keywords, Identifiers, Literals, Operators, Punctuators.

• Variables, Assignments, and Comments.

• Data Types: Numbers, Strings, Booleans.

• Mutable and Immutable Types.

Module 2: Control Flow and Operators (6 Hours)

• Operators: Arithmetic, Relational, Logical, Bitwise, Assignment.

• Expression Evaluation and Type Casting.

• Conditional Statements: if, if-else, if-elif-else.

• Looping Constructs: for loops, while loops, range() function.

• Loop Control: break, continue, pass.

Module 3: Strings and Functions (9 Hours)

• Strings: Traversing, Slicing, Concatenation, Membership operators.

• Built-in String Methods: len(), capitalize(), find(), split(), join(), strip(), etc.

• Functions: Defining and calling functions, return statement.

• Arguments: Positional, Default, Keyword, Variable-length.

• Scope: Local and Global variables.

• Lambda Functions: lambda with filter() and map().

Module 4: Lists and Tuples (9 Hours)

• Lists: Creating lists, indexing, slicing, traversing.

• List Operations and Methods: append(), extend(), insert(), pop(), remove(), sort(), reverse().

• List Comprehensions and 2D lists.

• Tuples: Creating tuples, accessing elements, immutability.

• Tuple operations and methods.

Module 5: Dictionaries (6 Hours)

• Dictionaries: Creating dictionaries, adding and accessing key-value pairs.

• Dictionary Operations and Methods: keys(), values(), items(), get(), update(), pop().

• Traversing a dictionary.

Module 6: File Handling (6 Hours)

• Opening and Closing Files: open() function, with statement.

• File Modes: r, w, a, r+, w+, a+.

• Writing to Files: write(), writelines().

• Reading from Files: read(), readline(), readlines().

• File Pointer Manipulation: seek(), tell().

Module 7: Object-Oriented Programming (OOP) (6 Hours)

• Features of OOP.

• Classes and Objects: self variable, constructors (__init__).

• Class variables vs. Instance variables.

• Methods: Instance, Class, and Static methods.

• Inheritance: Types of inheritance, super(), Method Resolution Order (MRO).

• Polymorphism: Operator and Method Overloading.