Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney.
Material type:
TextPublisher: Beijing : O'Reilly, [2022]Copyright date: ©2022Edition: Third editionDescription: xvi, 561 pages : illustrations ; 24 cmContent type: - text
- still image
- unmediated
- volume
- 9781098104030
- 109810403X
- 006.312 23
- QA76.73.P98 M42 2022
| Item type | Current library | Collection | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|
Books
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Zayed Military University General Stacks | General Collection | QA76.73.P98 M42 2022 (Browse shelf(Opens below)) | Available | 1000116 |
Previous edition: 2017.
Includes index.
Includes bibliographical references and index.
Preliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
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