{"id":18963688,"url":"https://github.com/tirendazacademy/pandasai-tutorials","last_synced_at":"2026-03-27T03:43:57.187Z","repository":{"id":179003356,"uuid":"662698363","full_name":"TirendazAcademy/PandasAI-Tutorials","owner":"TirendazAcademy","description":"Tutorials for PandasAI ","archived":false,"fork":false,"pushed_at":"2024-03-04T19:01:43.000Z","size":211,"stargazers_count":4,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-03-05T11:27:38.706Z","etag":null,"topics":["ai","data-analysis","data-science","data-visualization","llms","openai","pandas","pandasai","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TirendazAcademy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2023-07-05T17:34:01.000Z","updated_at":"2024-04-15T13:05:18.473Z","dependencies_parsed_at":null,"dependency_job_id":"5baef9cf-543d-4059-b93f-d1ec597ad0db","html_url":"https://github.com/TirendazAcademy/PandasAI-Tutorials","commit_stats":null,"previous_names":["tirendazacademy/pandasai-tutorials"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TirendazAcademy%2FPandasAI-Tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TirendazAcademy%2FPandasAI-Tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TirendazAcademy%2FPandasAI-Tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TirendazAcademy%2FPandasAI-Tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TirendazAcademy","download_url":"https://codeload.github.com/TirendazAcademy/PandasAI-Tutorials/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249201117,"owners_count":21229004,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","data-analysis","data-science","data-visualization","llms","openai","pandas","pandasai","python"],"created_at":"2024-11-08T14:21:24.929Z","updated_at":"2026-03-27T03:43:52.139Z","avatar_url":"https://github.com/TirendazAcademy.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Learn PandasAI with Examples\n\n[![](https://img.shields.io/badge/python-darkblue?\u0026style=plastic\u0026logo=python\u0026logoColor=white)]()\n[![](https://img.shields.io/badge/pandasai-darkred?\u0026style=plastic\u0026logo=pandas\u0026logoColor=white)]()\n[![](https://img.shields.io/badge/ollama-black?\u0026style=plastic\u0026logo=ollama\u0026logoColor=white)]()\n[![](https://img.shields.io/badge/streamlit-darkgreen?\u0026style=plastic\u0026logo=streamlit\u0026logoColor=white)]()\n[![](https://img.shields.io/badge/chainlit-blue?\u0026style=plastic\u0026logo=chainlit\u0026logoColor=white)]()\n[![](https://img.shields.io/badge/llama3-640D6B?\u0026style=plastic\u0026logo=meta\u0026logoColor=white)]()\n\nWelcome to my PandasAI repo. This repo includes tutorials on how to use Pandas AI. Let me briefly explain this tool.\n\n[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.\n\n### Features:\n\n- Ask questions about your data in natural language.\n- Generate plots to visualize your data.\n- Clean datasets by addressing missing values.\n- Enhance data quality through feature generation.\n- Connect to various data sources like CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc.\n\nTo install PandasAI, run this command: \n\n```\n# Using poetry (recommended)\npoetry add pandasai\n\n# Using pip\npip install pandasai\n```\n\n\u003c!-- YOUTUBE:START --\u003e\n\n\u003c!-- YOUTUBE:END --\u003e\n\n### 🚀 My YouTube Videos (Python code walkthrough) 👇\n\n\u003ca href=\"https://www.youtube.com/channel/UCFU9Go20p01kC64w-tmFORw\" target=\"_blank\"\u003e\u003cimg src=\"https://github.com/TirendazAcademy/PandasAI-Tutorials/blob/main/Images/pandaai-5.png\" alt=\"IMAGE ALT TEXT HERE\" width=\"480\" height=\"360\" border=\"10\" /\u003e\u003c/a\u003e\n\n- [MySQL with PandasAI](https://youtu.be/o88et_D8qlg)\n- [PandasAI Agent](https://youtu.be/9nyiePIrtbE)\n- [PandasAI with Llama-3](https://youtu.be/_dDaNgBDoHY)\n- [Data visualization with PandasAI](https://youtu.be/j-FQnJvesH4)\n- [Build an app with PandasAI, Ollama and Streamlit](https://youtu.be/-bt9grGmNvs)\n- [Pandas with Groq API](https://youtu.be/C6R9JLHZDH0)\n- [Data Analysis with PandasAI and Ollama](https://youtu.be/bw_e6xgGSTY)\n- [Introduction to Pandas AI](https://youtu.be/aUds2W7A_FY)\n\n### 🚀 Medium\n- [Meet PandasAI](https://levelup.gitconnected.com/pandasai-unlocking-the-power-of-data-with-generative-ai-3196cbccba34)\n\n🔗 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) 😎\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirendazacademy%2Fpandasai-tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftirendazacademy%2Fpandasai-tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirendazacademy%2Fpandasai-tutorials/lists"}