Lab Sheets and Jupyter Notebook Scripts for Y3S1 module DATA SCIENCE & ANALYTICS IT3080 (SLIIT)

Welcome to the Lab Sheets and Jupyter Notebook Scripts Repository! This repository contains a collection of lab sheets and Jupyter Notebook scripts for various scientific and technical subjects. Whether you are a student, researcher, or simply curious about these topics, you'll find valuable resources here to assist you in your learning journey.

Introduction
Repository Structure
Getting Started
Usage
Contributing

Introduction

In this repository, you will find a comprehensive set of lab sheets and Jupyter Notebook scripts covering a wide range of topics. These materials are designed to facilitate hands-on learning, experimentation, and exploration of various scientific and technical subjects. Whether you are a student looking for lab assignments or a researcher seeking code examples and data analysis tools, you will find something useful here.

Repository Structure

The repository is organized as follows:

.
├── lab_sheets/
│   ├── lab_sheet_1.pdf
│   ├── lab_sheet_2.pdf
│   ├── ...
│   └── lab_sheet_n.pdf
├── notebooks/
│   ├── script_1.ipynb
│   ├── script_2.ipynb
│   ├── ...
│   └── script_n.ipynb
├── data/
│   ├── dataset_1/
│   │   ├── data_file_1.csv
│   │   ├── data_file_2.csv
│   │   ├── ...
│   │   └── data_file_n.csv
│   ├── dataset_2/
│   ├── ...
│   └── dataset_n/
├── README.md
└── LICENSE

The lab_sheets directory contains PDF files of lab sheets or assignments for various topics. You can use these sheets as guides for your experiments or assignments.
The notebooks directory contains Jupyter Notebook scripts (.ipynb) that provide code examples, demonstrations, and solutions related to the lab sheets. You can run these notebooks locally to interactively explore the topics covered.
The data directory contains datasets used in some of the lab sheets and Jupyter Notebook scripts. You may need these datasets to complete exercises or perform data analysis tasks.

Getting Started

To get started with this repository, follow these steps:

Clone the repository to your local machine using Git:

git clone https://github.com/yourusername/lab-sheets-and-notebooks.git

Navigate to the specific lab sheet or Jupyter Notebook script you are interested in within the lab_sheets or notebooks directory.
Follow the instructions in the lab sheets or run the Jupyter Notebook scripts to explore the content and complete exercises.
If the lab sheets or notebooks require datasets, download the necessary data from the data directory.

Usage

Feel free to use the materials in this repository for your personal learning, academic assignments, or research projects. You can download lab sheets, run Jupyter Notebooks, and adapt the code to your specific needs.

If you find any errors, have suggestions for improvements, or want to contribute additional lab sheets or scripts, please see the Contributing section.

Contributing

We welcome contributions from the community. If you have lab sheets, Jupyter Notebook scripts, or datasets that you would like to add to this repository, follow these steps:

Fork the repository to your own GitHub account.
Create a new branch for your changes:
```
git checkout -b feature/add-lab-sheet
```
Make your changes, add your lab sheets, notebooks, or datasets, and commit them.
Push your changes to your forked repository:
```
git push origin feature/add-lab-sheet
```
Create a pull request to merge your changes into the main repository.

We will review your contribution and merge it if it aligns with the goals of the repository.

Happy learning and exploring!