Python for data analysis / Wes McKinney.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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APU Library Open Shelf | Book | QA76.73.P98 M42 2013 c.1 (Browse shelf (Opens below)) | 1 | Available (No use restrictions) | 00033153 | |
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APU Library Open Shelf | Book | QA76.73.P98 M42 2013 c.2 (Browse shelf (Opens below)) | 2 | Available (No use restrictions) | 00033154 |
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QA76.73.P98 H54 2003 c.2 Python programming with the Java class libraries : | QA76.73.P98 L36 2019 c.1 Natural language processing in action : | QA76.73.P98 L88 2001 c.1 Programming Python / | QA76.73.P98 M42 2013 c.1 Python for data analysis / | QA76.73.P98 M42 2013 c.2 Python for data analysis / | QA76.73.P98 P67 2022 c.1 Python for cybersecurity : using Python for cyber offense and defense / | QA76.73.P98 R36 2015 c.1 Fluent Python / |
Includes index.
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 -- Advancded NumPy.
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