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Data Science Notebook

This repository contains a Jupyter Notebook used for demonstrating basic data science concepts.

Content Overview

  • Exercise 3: Introduction to Data Science Tools and Ecosystem.
  • Exercise 4: Popular programming languages for Data Science.
  • Exercise 5: Commonly used libraries in Data Science.
  • Exercise 6: Creating tables for Data Science tools.
  • Exercise 7: Demonstrating arithmetic operations in Python.
  • Exercise 9: Converting minutes to hours in Python.
  • Exercise 12: Sharing the notebook via GitHub.

How to Use

  1. Clone the repository to your local machine.
  2. Open the Jupyter Notebook.
  3. Follow the exercises to understand basic data science tools and concepts.

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