Course

Unit 1

Algorithms, Flowcharts, Variables, Data Types, Type Casting, Assignment, Keywords, Input-Output, Indentation, Operators and Expressions: Types – Integers, Strings, Booleans, Operators: Arithmetic Operators, Comparison (Relational) Operators, Assignment Operators, Logical Operators, Bitwise Operators, Membership Operators, Identity Operators, Expressions and Order of Precedence.

Unit 2

Control Flow, Selection: if, if-else, Multi-way Selection and Nested Structures. Repetition: While Loops and Counters, For Loops, Nested Loops, Ranges.

Unit 3

Sequence Types: List Operations, Tuples, Slicing, Concatenation and Repetition Operators, Non-Sequence Types: Set, Frozen Set, Mapping Types: Dictionary, Comprehensions, Text Sequence Type: String Operations.

Unit 4

Functions: Defining Functions, Calling Functions, Passing Arguments, Keyword Arguments, Default Arguments, Variable-length arguments, Anonymous Functions, Fruitful Functions, Scope of the Variables in a Function – Global and Local Variables, Module Creation, Import Statements, Name Spacing, Exception handling.

Unit 5

Text Files: Text Files and Their Format, Writing Text to a File, Writing Numbers to a File, Reading Text from a File, Reading Numbers from a File, Accessing and Manipulating Files on Disk. Regular Expressions: Character Matching in Regular Expressions, Extracting Data using Regular Expression.

Text Books / References

Text Books:

1. Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data Second Edition. MIT Press, 2016. ISBN: 9780262529624.

References:

1. VanderPlas, J. (2023). Python data science handbook: Essential tools for working with data (2nd ed.). O’Reilly Media, Inc.
2. Vamsi Kurama (2017), Python Programming: A Modern Approach, Pearson.

This courseprovides a comprehensive introduction to programming using Python, covering essential syntax, data types, variables, control flow, and functions. Designed for beginners, it emphasizes hands-on coding through exercises, often using IDLE or Jupyter Notebooks, to teach problem-solving, and script development.

Course Outcomes: After successful completion of the course, students will be able to

• CO1: Understand Python basics and learn to write algorithms
• CO2: Understand the logic and able to write control and looping statement
• CO3: Work on sequence and non-sequence types
• CO4: Create functions and modules and able to handle the errors and exceptions
• CO5: Able to store, retrieve, and manipulate data in text files

CO-PO Mapping: