This repository contains a Jupyter Notebook that summarizes various tools and libraries used in Data Science.
In this notebook, Data Science Tools and Ecosystem are summarized. The notebook includes:
- A list of popular languages used in Data Science.
- A list of commonly used libraries in Data Science.
- A table of various development environment open-source tools.
- Examples of evaluating arithmetic expressions in Python.
- A conversion of time units using Python code.
- DataScienceEcosystem.ipynb: The Jupyter Notebook containing all the exercises.
- Screenshots: A folder containing screenshots of each exercise step.
To run the notebook, you need to have Jupyter installed. If you don't have it installed, you can install it using the following command:
pip install jupyter