Foundations for analytics with Python / Clinton W. Brownley.
Material type: TextPublication details: Mumbai : Shroff Publishers & Distributors, O'Reilly, 2018.Description: xxv, 322 p. : ill. ; 24 cmISBN:- 9789352134342
- 005.262P 23 BRO
- QA76.73.P98 N76 2016
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Books | Learning Resource Centre | 005.262P BRO (Browse shelf(Opens below)) | Available | 13848 |
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005.262P BRO Python : the complete reference / | 005.262P BRO Python : the complete reference / | 005.262P BRO Python : the complete reference / | 005.262P BRO Foundations for analytics with Python / | 005.262P BRO Python : the complete reference / | 005.262P BUD Exploring Python / | 005.262P DEI Intro to Python for Computer Science and Data Science : learning to program with AI, big data and the cloud |
"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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