Foundations for Analytics with Python

"No programming experience is necessary"--Back cover.

About the author

Clinton Brownley, Ph.D., is a data scientist at Facebook, where he is responsible for a wide variety of data pipelining, statistical modeling, and data visualization projects that inform data-driven decisions about large-scale infrastructure. Clinton is a Past-President of the San Francisco Bay Area Chapter of the American Statistical Association and a Council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Summary

If you're 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 & scale the processing and analysis of data in different formats by using Python.

Product details

• Authors: Clinton Brownley, Clinton W. Brownley, Brownley Clinton
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 31.10.2016
• EAN: 9781491922538
• ISBN: 978-1-4919-2253-8
• Dimensions: 178 mm x 233 mm x 21 mm
• Weight: 610 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > General, dictionaries; Web programming, COMPUTERS / Internet / Web Programming, Python Excel data science data analysis scripting.