Skip to content

Latest commit

 

History

History
81 lines (53 loc) · 2.33 KB

File metadata and controls

81 lines (53 loc) · 2.33 KB

Data Structures in Python - Assignment (SEM2, MCA SIT 2023-2025)

This repository contains the assignments related to Data Structures in Python for the second semester of the MCA program at SIT (2023-2025). The assignments demonstrate the understanding and application of various data structures in Python.

Overview

Data Structures are a fundamental part of computer science and software engineering. This course covers the implementation and usage of different data structures in Python, enhancing problem-solving and coding skills.

Assignments

The repository includes the following assignments:

  1. Assignment 1 - [Link or Description]
  2. Assignment 2 - [Link or Description]
  3. Assignment 3 - [Link or Description]
  4. Assignment 4 - [Link or Description]
  5. Assignment 5 - [Link or Description]
  6. Assignment 6 - [Link or Description]
  7. Assignment 7 - [Link or Description]
  8. Assignment 8 - [Link or Description]

Getting Started

To get started with the code in this repository, clone the repository to your local machine using the following command:

git clone https://github.com/ItzAkashBro/DS-in-Python-Assignment-SEM2-MCASIT-2023-2025.git

Prerequisites

Ensure you have the following installed on your machine:

  • Python 3.x
  • Git

Installation

  1. Navigate to the project directory:

    cd DS-in-Python-Assignment-SEM2-MCASIT-2023-2025
  2. (Optional) Create and activate a virtual environment:

    python -m venv env
    source env/bin/activate  # On Windows use `env\Scripts\activate`
  3. Install the required dependencies (if any):

    pip install -r requirements.txt

Running the Assignments

To run an assignment, navigate to the respective assignment folder and execute the Python script. For example, to run Assignment 1:

cd Assignment1
python assignment1.py

Contact Information

Feel free to connect with me on social media platforms:

Acknowledgments

Special thanks to all the instructors and contributors who helped in the learning process.

© [2023-2025] Akash Mahanta. All Rights Reserved.