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Get started with PyGWalker, a straightforward Python library turning your Pandas dataframes into a visually interactive interface. Seamlessly integrate it into your Jupyter Notebook or Streamlit apps and make your data exploration as intuitive as using Tableau.
In this tutorial, I walk you through the PyGWalker functionalities, its integration with Streamlit, and how you can use it as a handy alternative to Tableau in Python.
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โถ Get the source code here: https://github.com/Sven-Bo/PyGWalker-Guide-for-Streamlit-and-Jupyter
โญ ๐ง๐๐ ๐๐ฆ๐ง๐๐ ๐ฃ๐ฆ:
0:00 โ Intro
0:15 โ Setup & Dataset
0:31 โ PyGWalker in Notebooks
4:00 โ PyGWalker in Streamlit
5:01 โ Outro
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