https://github.com/jsgiraldo/datascienceecosystem

https://github.com/jsgiraldo/datascienceecosystem

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/jsgiraldo/datascienceecosystem
• Owner: jsgiraldo
• Created: 2024-11-24T07:07:33.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-24T07:11:55.000Z (about 2 months ago)
• Last Synced: 2024-11-24T08:19:34.305Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Science Ecosystem

## Overview

This Jupyter Notebook summarizes the tools and ecosystems used in data science. It includes various sections detailing popular programming languages, libraries, and tools utilized by data scientists.

## Objectives

- List popular languages for Data Science

- Enumerate libraries commonly used in Data Science

- Present various tools available for Data Science

## Contents

1. **Title**: Data Science Tools and Ecosystem

2. **Introduction**: Overview of the notebook's purpose

3. **Data Science Languages**: A list of popular languages used by data scientists

4. **Data Science Libraries**: Commonly used libraries in data science

5. **Data Science Tools**: A table summarizing various tools

6. **Arithmetic Expressions**: Examples of arithmetic operations in Python

7. **Conversion Examples**: Converting minutes to hours

8. **Author Information**: Details about the author

## Usage

To run this notebook, you will need to have Jupyter Notebook installed. You can clone this repository and open the notebook using Jupyter.

```bash

git clone https://github.com/yourusername/DataScienceEcosystem.git

cd DataScienceEcosystem

jupyter notebook