Preliminaries -- Introductory examples -- IPython : an interactive computing and development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advanced NumPy -- Appendix: Python language essentials
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SUMMARY OR ABSTRACT
Text of Note
Serves as an introduction to Python for data-intensive applications