https://github.com/tirendazacademy/pandasai-tutorials

Tutorials for PandasAI
https://github.com/tirendazacademy/pandasai-tutorials

ai data-analysis data-science data-visualization llms openai pandas pandasai python

Last synced: about 2 months ago
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Tutorials for PandasAI

• Host: GitHub
• URL: https://github.com/tirendazacademy/pandasai-tutorials
• Owner: TirendazAcademy
• Created: 2023-07-05T17:34:01.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-04T19:01:43.000Z (10 months ago)
• Last Synced: 2024-03-05T11:27:38.706Z (10 months ago)
• Topics: ai, data-analysis, data-science, data-visualization, llms, openai, pandas, pandasai, python
• Language: Jupyter Notebook
• Homepage:
• Size: 206 KB
• Stars: 4
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Learn PandasAI with Examples

[![](https://img.shields.io/badge/python-darkblue?&style=plastic&logo=python&logoColor=white)]()

[![](https://img.shields.io/badge/pandasai-darkred?&style=plastic&logo=pandas&logoColor=white)]()

[![](https://img.shields.io/badge/ollama-black?&style=plastic&logo=ollama&logoColor=white)]()

[![](https://img.shields.io/badge/streamlit-darkgreen?&style=plastic&logo=streamlit&logoColor=white)]()

[![](https://img.shields.io/badge/chainlit-blue?&style=plastic&logo=chainlit&logoColor=white)]()

[![](https://img.shields.io/badge/llama3-640D6B?&style=plastic&logo=meta&logoColor=white)]()

Welcome to my PandasAI repo. This repo includes tutorials on how to use Pandas AI. Let me briefly explain this tool.

[PandasAI](https://docs.pandas-ai.com/en/latest/) is an amazing Python library that allows you to talk to your data. It helps you to explore, clean, and analyze your data using generative AI.

### Features:

- Ask questions about your data in natural language.

- Generate plots to visualize your data.

- Clean datasets by addressing missing values.

- Enhance data quality through feature generation.

- Connect to various data sources like CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc.

To install PandasAI, run this command: 

```

# Using poetry (recommended)

poetry add pandasai

# Using pip

pip install pandasai

```

### 🚀 My YouTube Videos (Python code walkthrough) 👇



- [MySQL with PandasAI](https://youtu.be/o88et_D8qlg)

- [PandasAI Agent](https://youtu.be/9nyiePIrtbE)

- [PandasAI with Llama-3](https://youtu.be/_dDaNgBDoHY)

- [Data visualization with PandasAI](https://youtu.be/j-FQnJvesH4)

- [Build an app with PandasAI, Ollama and Streamlit](https://youtu.be/-bt9grGmNvs)

- [Pandas with Groq API](https://youtu.be/C6R9JLHZDH0)

- [Data Analysis with PandasAI and Ollama](https://youtu.be/bw_e6xgGSTY)

- [Introduction to Pandas AI](https://youtu.be/aUds2W7A_FY)

### 🚀 Medium

- [Meet PandasAI](https://levelup.gitconnected.com/pandasai-unlocking-the-power-of-data-with-generative-ai-3196cbccba34)

🔗 Let's connect [YouTube](http://youtube.com/tirendazacademy) | [Medium](http://tirendazacademy.medium.com) | [X](http://x.com/tirendazacademy) | [Linkedin](https://www.linkedin.com/in/tirendaz-academy) 😎