How to explore data in Python with PyGWalker and Streamlit
Streamlit
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Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps in only a few lines of code
Video Description
In this video, Elwynn Chen, the creator of PyGWalker, gives us a walkthrough on how to get started with PyGWalker. Briefly, PyGWalker (open-source alternative to Tableau) turns your DataFrame into an interactive UI for visual exploration of your data. He'll show us how to use it in Jupyter, with Snowflake and in a Streamlit app. Resources 🌎 PyGWalker (Website) https://kanaries.net/pygwalker 🐙 PyGWalker (GitHub) https://github.com/kanaries/pygwalker/ ❄️ PyGWalker with Snowflake https://docs.kanaries.net/pygwalker/api-reference/snowflake 🎈 PyGWalker with Streamlit https://pygwalker.kanaries.net/tutorials/use-pygwalker-with-streamlit 🤝 Connect with Elwynn on LinkedIn https://www.linkedin.com/in/elwynn-chen-50950a168/ 🕐 Timeline 0:00 Introduction 1:12 Case 1: Use PyGWalker to explore bike sharing dataset 8:18 Case 2: Using PyGWalker with Snowflake 10:20 Case 3: Using PyGWalker with Streamlit 15:19 Summary #streamlit #pygwalker #eda
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