Foundations for analytics with Python / Clinton W. Brownley.
Material type:
TextLanguage: English Publisher: Sebastopol, CA : O'Reilly Media, Inc., 2016Edition: First editionDescription: xxv, 322 pages : illustrations ; 24 cmISBN: 9781491922538; 1491922532Subject(s): Python (Computer program language) | Electronic data processing | Electronic spreadsheets -- Data processing | Electronic spreadsheets -- Computer programsDDC classification: 005.13'3 | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | Institute of Public Enterprise, Library S Campus | 005.13'3 BRO (Browse shelf) | Available | 45234 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.13'3 BRO (Browse shelf) | Available | 45235 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.13'3 BRO (Browse shelf) | Available | 44465 |
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| 005.1'068'5 WAL.S Software Quality assurance a practical approach / | 005.1'1 BOO.O Object oriented analysis design with applications / | 005.13'3 BRO Foundations for analytics with Python / | 005.13'3 BRO Foundations for analytics with Python / | 005.13'3 BRO Foundations for analytics with Python / | 005.13'3 HAN.C C Interfaces and implementation techniques for creating reusable software / | 005.13'3 SAH Data structures, algorithms and applications in C++ / |
"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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