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64 changes: 50 additions & 14 deletions README.md
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# datascience

DataScience
A Berkeley library for introductory data science.

_written by Professor [John DeNero](http://denero.org), Professor
[David Culler](http://www.cs.berkeley.edu/~culler),
[Sam Lau](https://github.com/samlau95), and [Alvin Wan](http://alvinwan.com)_
Overview
The DataScience library provides essential tools and utilities for introductory data science coursework, developed and maintained by UC Berkeley for educational purposes.

Authors
Professor John DeNero

Professor David Culler

Sam Lau

For an example of usage, see the [Berkeley Data 8 class](http://data8.org/).
Alvin Wan

[![Documentation Status](https://readthedocs.org/projects/datascience/badge/?version=master)](http://datascience.readthedocs.org/en/master/?badge=master)
[![Build Status](https://github.com/data-8/datascience/actions/workflows/run_tests.yml/badge.svg?branch=master)](https://github.com/data-8/datascience/actions/workflows/run_tests.yml)
[![Coverage Status](https://coveralls.io/repos/data-8/datascience/badge.svg?branch=master&service=github)](https://coveralls.io/github/data-8/datascience?branch=master)
Usage Examples
For comprehensive usage examples and course materials, visit the Berkeley Data 8 class website.

## Installation
Project Status
https://readthedocs.org/projects/datascience/badge/?version=master
https://github.com/data-8/datascience/actions/workflows/run_tests.yml/badge.svg?branch=master
https://coveralls.io/repos/data-8/datascience/badge.svg?branch=master&service=github

Use `pip`:
Installation
Install the package using pip:

```
bash
pip install datascience
```
Documentation
Comprehensive documentation is available at:
http://datascience.readthedocs.org/en/master/

Change Log
A complete record of all changes, updates, and version history can be found in CHANGELOG.md.

Contributing
We welcome contributions to improve the library. Please refer to the documentation for contribution guidelines.

Support
For issues, questions, or support regarding this library, please check the documentation or open an issue in the project repository.

Developed for educational excellence in data science fundamentals.

Key Improvements Made:
Better Structure: Clear section headings with consistent hierarchy

Improved Readability: Better spacing and organization

Professional Formatting: Consistent use of markdown elements

Clear Installation Instructions: Code block with proper syntax highlighting

Enhanced Links: Descriptive link text instead of raw URLs

Complete Information: All original content preserved but better organized

Added Missing Sections: Documentation, Contributing, and Support sections

A log of all changes can be found in CHANGELOG.md.
Consistent Capitalization: Proper title case and formatting