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This repository contains Jupyter Notebooks for important data science libraries.
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These notebooks serve as a resource for learning and practicing data manipulation, analysis, and visualization.
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Python.ipynb: This notebook covers the basics of Python like data types, variables, functions and more. -
NumPy.ipynb: This notebook introduces NumPy, a fundamental library for numerical computing in Python. -
Pandas.ipynb: In this notebook, you will learn about Pandas, a powerful data manipulation library. -
MatPlotLib.ipynb: This notebook explores the Matplotlib library for data visualization in Python.
- Clone the repository to your local machine using the following command :
git clone https://github.com/TheMrityunjayPathak/DataScience.git
- Launch Jupyter Notebook and open the desired notebook file :
jupyter notebook
- Follow along with the Notebook and run the code cells to explore the concepts and examples.
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Contributions are Welcome!
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If you would like to add more notebooks or make improvements to existing ones, feel free to submit a pull request.
- This repository is licensed under the MIT License. Feel free to use the code and notebooks for your own learning and projects.
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The notebooks in this repository are created based on various online tutorials, courses, and documentation.
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Special thanks to the open-source community for their contributions to the Python, NumPy, Pandas, and Matplotlib libraries, making data science more accessible and powerful.
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