Foundations for Analytics with Python

From Non-Programmer to Hacker

Nonfiction, Computers, Application Software, Business Software, Programming, Programming Languages, Business & Finance
Cover of the book Foundations for Analytics with Python by Clinton W. Brownley, O'Reilly Media
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Author: Clinton W. Brownley ISBN: 9781491922484
Publisher: O'Reilly Media Publication: August 16, 2016
Imprint: O'Reilly Media Language: English
Author: Clinton W. Brownley
ISBN: 9781491922484
Publisher: O'Reilly Media
Publication: August 16, 2016
Imprint: O'Reilly Media
Language: English

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 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.

  • 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 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.

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