Read Foundations for Analytics with Python: From Non-Programmer to Hacker

Foundations for Analytics with Python: From Non-Programmer to Hacker

Clinton W. Brownley

4.9/5 (9403 ratings)

Description: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 syntaxUse Python s csv module to read and parse CSV filesRead multiple Excel worksheets and workbooks with the xlrd modulePerform database operations in MySQL or with the mysqlclient moduleCreate Python applications to find specific records, group data, and parse text filesBuild statistical graphs and plots with matplotlib, pandas, ggplot, and seabornProduce summary statistics, and estimate regression and classification modelsSchedule your scripts to run automatically in both Windows and Mac environments"We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Foundations for Analytics with Python: From Non-Programmer to Hacker. To get started finding Foundations for Analytics with Python: From Non-Programmer to Hacker, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1491922532

Description: 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 syntaxUse Python s csv module to read and parse CSV filesRead multiple Excel worksheets and workbooks with the xlrd modulePerform database operations in MySQL or with the mysqlclient moduleCreate Python applications to find specific records, group data, and parse text filesBuild statistical graphs and plots with matplotlib, pandas, ggplot, and seabornProduce summary statistics, and estimate regression and classification modelsSchedule your scripts to run automatically in both Windows and Mac environments"We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Foundations for Analytics with Python: From Non-Programmer to Hacker. To get started finding Foundations for Analytics with Python: From Non-Programmer to Hacker, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Foundations for Analytics with Python: From Non-Programmer to Hacker

Foundations for Analytics with Python: From Non-Programmer to Hacker

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