📊 A comprehensive pandas mastery project with 10 modular Jupyter notebooks covering data loading, cleaning, grouping, merging, time series, visualization, and performance profiling. Includes real-world workflows, Docker, Streamlit, and reusable utils. Ideal for data scientists and analysts to learn, practice, and refer. Practice-ready and modular.
python docker open-source data-science time-series etl analytics exploratory-data-analysis jupyter-notebook pandas data-visualization cheatsheet data-analysis performance-tuning jupyterlab data-cleaning data-pipeline learning-resource memory-profiling streamlit
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Updated
Jul 29, 2025 - Jupyter Notebook