It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

We’ve seen how elements on Streamlit pages can range from simple text labels or HTML controls to more elaborate elements like maps, charts, audio/video playback, or advanced interactions like ...

In order to convert the JavaScript data embedded in the charts to Python, we are going to perform a clever trick. We are going to stitch together JavaScript functions using fragments of the code ...

From there, users can apply Excel’s formulas, charts and PivotTables to the data they have calculated in Python (Figure A). Figure A. A demonstration of Python calculations typed into an Excel cell.

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