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소장자료
관련콘텐츠
부가정보
Preface
1. Preliminaries
2. Introductory Examples
3. IPython: An Interactive Computing and Development Environment
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
Index
서평