Python Assignments

Python Programming

Overview

This repository contains my weekly Python assignments, lab work, and coursework. It serves as a digital portfolio of my academic progress, covering fundamental programming concepts, data structures, control flow, numerical computing, and basic problem-solving using Python.

Lab Index

Below is the log of completed assignments and practical work:

Assignment 1: Lists, Tuples and Dictionary

• Topic: Performing operations on Python's fundamental data structures.
• Concepts: List operations, tuple operations, dictionary operations, indexing, slicing, mutation, key-value mapping, and data manipulation.
• File: Assignment-1 Lists,Tuple,Dictionary.ipynb

Assignment 2: Largest Number

• Topic: Finding the largest number among three user-input values.
• Concepts: User input, variables, comparison operators, and conditional statements using if, elif, and else.
• File: Assignment-2 Largest Number.py

Assignment 3: Triangle

• Topic: Performing operations related to a triangle based on user-provided values.
• Concepts: User input, variables, conditional statements, comparison operators, and decision-making using if, elif, and else.
• File: Assignment-3 Triangle.py

Assignment 4: NumPy

• Topic: Introduction to numerical computing and array operations using NumPy.
• Concepts: NumPy arrays, array creation, indexing, slicing, mathematical operations, and basic numerical data manipulation.
• File: Assignment-4 numpy.ipynb

Additional Practice

Alongside the main assignments, this repository also contains additional Python and NumPy practice work:

• LCA-1.py — Additional Python lab/practical work.
• Numpy-Prac.ipynb — NumPy practice and experimentation.

Academic Info

• University: MIT-WPU
• Course: CSE
• Subject: Python Programming