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Python For Data Analysis

Python for Data Analysis . Wes McKinney. 2013. 1. preliminaries 2. introductory examples 3. IPython: interactive computing 4. NumPy basics: arrays and vectorized computation 5. getting started with Pandas 6. data loading, storage, and file formats 7. data wrangling: clean, transform, merge, reshape 8. plotting and visualization 9. data aggregation and group operations 10. time series 11. financial and economic data applications 12. advanced NumPy Appendix: Python language essentials sha256: cdd0911b79755b8152bf76fa95ea5af04ad70557059acfaf811846bf5cf1f5a3

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