Foundations for Analytics with Python (O'Reilly)
Wednesday, 14 September 2016

This practical guide by Clinton Brownley shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.

 

 

  • Create and run your own Python scripts by learning basic syntax
  • Use Python’s csv module to read and parse CSV files
  • Read multiple Excel worksheets and workbooks with the xlrd module
  • Perform database operations in MySQL or with the mysqlclient module
  • Create Python applications to find specific records, group data, and parse text files
  • Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn
  • Produce summary statistics, and estimate regression and classification models
  • Schedule your scripts to run automatically in both Windows and Mac environments

 

 

Author: Clinton W. Brownley
Publisher: O'Reilly
Date: December 2015
Pages: 200
ISBN: 978-1491922538
Print: 1491922532
KIndle: B01KIS81RW
Audience: Ambitious non-programmers
Level: Intermediate
Category: Python

 

 

 

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Author: David Sénécal
Publisher: Wiley
Date: July 2024
Pages: 356
ISBN: 978-1394262410
Print: 1394262418
Kindle: B0D1CJR212
Audience: General
Rating: 5
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Author:  Sinan Ozdemir
Publisher:  Addison-Wesley
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