Data Science Agents Hub & Python Fundamentals

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Overview

A comprehensive repository for Introduction to Data Science featuring:

• AI-powered data science agents built in Google Colab for automating data tasks (upload, preview, analysis, visualization).
• Python fundamentals study materials as organized Jupyter notebooks.

Perfect for students learning Python basics + data science automation + agent-based systems.

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Features

Agents:

• Instant CSV file upload & preview

Study Materials:

• Structured Python tutorials from basics to data structures
• Hands-on Jupyter notebooks
• Progressive learning path

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Agents Included

Agent	Documentation	Description
CSV Upload Agent	Full System Guide | Beginner Walkthrough	Professional Data Science Agent with automated fetch and deep audit capabilities

More agents coming soon! Contribute your own via pull requests.

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Study Materials

Complete Python Fundamentals course in Jupyter notebooks:

Notebook	Topics Covered
Python Basics: Data Types & Variables	Print/output, data types, variables, type conversion, user input, literals
Operators, Conditionals & Loops	Arithmetic/relational operators, if-else, modules, while/for loops
Advanced Loops & Patterns	Nested loops, number patterns, break/continue/pass
Strings	String operations, functions, slicing, common programs (palindrome, etc.)
Lists	List creation, operations, functions, comprehensions
Dictionaries	Dict creation, operations, functions, comprehensions

Run notebooks: Open in Jupyter/Colab for interactive learning.

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Quick Start

For Agents (Google Colab):

1. Open the agent MD file (e.g., CSV Upload Agent)
2. Copy-paste code cells into new Colab notebook
3. Run commands to interact with the agent

For Study Materials:

1. Download notebooks from Study_Materials/
2. Open in Jupyter Lab or Google Colab
3. Execute cells sequentially

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Contributing

1. Fork the repo
2. Create your feature branch (git checkout -b feature/AmazingAgent)
3. Commit changes (git commit -m 'Add amazing agent')
4. Push to branch (git push origin feature/AmazingAgent)
5. Open Pull Request

Branch naming: blackboxai/your-feature

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License

This project is licensed under the MIT License - see LICENSE file (create if needed).

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Authors

• Anoneurx

Happy learning & automating!