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" Python for data analysis / "
Wes McKinney
| Document Type
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BL
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| Record Number
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601522
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| Doc. No
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b430741
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| Main Entry
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McKinney, Wes
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| Title & Author
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Python for data analysis /\ Wes McKinney
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| Page. NO
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xiii, 452 pages :: illustrations ;; 24 cm
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| ISBN
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9781449319793
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: 1449319793
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| Notes
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Includes index
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| Contents
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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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| Abstract
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Serves as an introduction to Python for data-intensive applications
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| Subject
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Python (Computer program language)
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| Subject
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Programming languages (Electronic computers)
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| Subject
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Data mining
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| Dewey Classification
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005.13/3
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| LC Classification
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QA76.73.P98M42 2013
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