Data-science-tools/main (1).py at main · YassoBases/Data-science-tools · GitHub

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# Data Science Tools and Ecosystem

## Introduction
This notebook provides an overview of Data Science tools and ecosystems, including languages, libraries, and tools used in Data Science.

## Data Science Languages
- Python
- R
- SQL
- Julia
- Scala

## Data Science Libraries
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- TensorFlow
- Keras

## Data Science Tools
| Tool           | Description                   |
|----------------|-------------------------------|
| Jupyter        | Notebook environment          |
| RStudio        | Integrated development environment for R |
| Apache Spark   | Cluster-computing framework   |
| TensorFlow     | Machine learning library      |
| Tableau        | Data visualization tool       |


## Arithmetic Expression Examples
Below are examples of simple arithmetic operations.

# Example: Multiplying and Adding Numbers
result = (20 + 5) * 4
result


# Example: Converting Minutes to Hours
minutes = 200
hours = minutes / 60
hours


## Objectives
- List popular languages for Data Science
- List commonly used libraries in Data Science
- Create a table of Data Science tools
- Demonstrate simple arithmetic operations


## Author
Yasser Bases