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Python for data science : a hands-on introduction / by Yuli Vasiliev.

By: Material type: TextTextPublisher: San Francisco : No Starch Press, [2022]Description: xviii, 217 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781718502208
  • 1718502206
Subject(s): Additional physical formats: Online version:: Python for data scienceDDC classification:
  • 005.13/3 23/eng/20220325
Contents:
The basics of data -- Python data structures -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.
Summary: "Shows programmers the best ways to leverage Python for data-driven applications. Loaded with practical examples, the book provides a wide-ranging tour of Python's abilities to obtain, transform, and analyze data"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Botho University Ghana Open Shelves 005.13/3 VAS (Browse shelf(Opens below)) Available BUGH24030007

Includes index.

The basics of data -- Python data structures -- Python data science libraries -- Accessing data from files and APIs -- Working with databases -- Aggregating data -- Combining data sets -- Creating visualizations -- Analyzing location data -- Analyzing time series data -- Gaining insight from data -- Machine learning for data analysis.

"Shows programmers the best ways to leverage Python for data-driven applications. Loaded with practical examples, the book provides a wide-ranging tour of Python's abilities to obtain, transform, and analyze data"-- Provided by publisher.

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