By Clinton W. Brownley
Many of Excel's 750 million clients wish to do extra with their facts, similar to repeating related analyses over thousands of documents or combining the information in lots of records for research at one time. This useful advisor exhibits formidable non-programmers find out how to automate and scale facts processing and research of alternative information codecs with Python, utilizing business-relevant examples with entire, easy-to-read code.
Beginning with the fundamentals of Python, writer Clinton Brownley indicates you ways to house Excel, CSV, and textual content records in Python, best as much as scheduling scripts to immediately assemble and technique details with out human intervention. more effective than many different introductions to Python, this ebook offers abilities you could instantly practice on your job.
- Automate and scale info processing with just a wisdom of Excel
- Get an outstanding, functional advent to scripting languages in general
- Learn suggestions via real-world company examples, together with 3 in-depth projects
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Extra info for Foundations for Analytics with Python
This element signifies a general note. This element signifies a warning or caution. The text, figures, and examples are a work in progress, and several chapters are yet to be written. We are releasing the book before it is finished because we hope that it is already useful in its current form and because we would love your feedback in order to create the best possible finished product. com/cbrownley/foundations-for-analytics-with-python. This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation.
Brownley Foundations for Analytics with Python by Clinton W. Brownley Copyright © 2016 Clinton Brownley. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. com ). com . isbn=0636920038375 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Foundations for Analytics with Python, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc.
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