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Foundations for analytics with Python / Clinton W. Brownley.

By: Material type: TextTextPublication details: Mumbai : Shroff Publishers & Distributors, O'Reilly, 2018.Description: xxv, 322 p. : ill. ; 24 cmISBN:
  • 9789352134342
Subject(s): DDC classification:
  • 005.262P 23 BRO
LOC classification:
  • QA76.73.P98 N76 2016
Contents:
Python basics -- Comma-separated values (CSV) files -- Excel files -- Databases -- Applications -- Figures and plots -- Descriptive statistics and modeling -- Scheduling scripts to run automatically -- Where to go from here.
Summary: "If you e like many of Excel's 750 million users, you want to do more with your data -- like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats by using Python. After author Clinton Brownley takes you through Python basics, you'll be able to write simple scripts for processing data in spreadsheets as well as databases. You'll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary."--Provided by Amazon.com.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Learning Resource Centre 005.262P BRO (Browse shelf(Opens below)) Available 13848
Total holds: 0

"From non-programmer to hacker"--Cover.

Includes bibliographical references (page 313) and index.

Python basics -- Comma-separated values (CSV) files -- Excel files -- Databases -- Applications -- Figures and plots -- Descriptive statistics and modeling -- Scheduling scripts to run automatically -- Where to go from here.

"If you e like many of Excel's 750 million users, you want to do more with your data -- like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats by using Python. After author Clinton Brownley takes you through Python basics, you'll be able to write simple scripts for processing data in spreadsheets as well as databases. You'll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary."--Provided by Amazon.com.

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