Brownley, Clinton W., <br/><br/>
Foundations for analytics with Python / 
Clinton W. Brownley. 
 - First edition. 
 - Sebastopol, CA :    O'Reilly Media, Inc.,  2016. 
 - xxv, 322 pages :  illustrations ;  24 cm 
<br/><br/> "From non-programmer to hacker"--Cover. 
<br/><br/>Includes bibliographical references (page 313) and index. 
<br/><br/>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. 
<br/><br/> "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. 
<br/><br/><label>ISBN: </label>9781491922538 1491922532 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Python (Computer program language)<br/>Electronic data processing.<br/>Electronic spreadsheets--Data processing.<br/>Electronic spreadsheets--Computer programs.
<br/><br/><label>Dewey Class. No.: </label>005.13'3  / BRO