
Streamlit
Analytics
Build data apps and prototypes from Python scripts
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Full sizemarimo is a Python notebook whose cells respond to changes in the values they depend on. Start with a small dataset, define a variable and update it to see which results rerun. This can help researchers or developers understand the execution order of an analysis and maintain the notebook in version control. The notebook is stored as a Python file, which is useful when deciding how to run or reuse it outside the editor. Check compatibility with the libraries and widgets you intend to use. For migration, try one existing notebook and compare its outputs and dependency assumptions before moving larger analyses.
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