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Autor: Clinton W. Brownley
ISBN-13: 9781491922507
Einband: PDF
Seiten: 352
Sprache: Englisch
eBook Typ: PDF
eBook Format: PDF
Kopierschutz: Adobe DRM [Hard-DRM]
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Foundations for Analytics with Python

From Non-Programmer to Hacker
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If youre like many of Excels 750 million users, you want to do more with your datalike 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 formatsby using Python.After author Clinton Brownley takes you through Python basics, youll be able to write simple scripts for processing data in spreadsheets as well as databases. Youll 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 Pythons 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
If youre like many of Excels 750 million users, you want to do more with your datalike 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 formatsby using Python.After author Clinton Brownley takes you through Python basics, youll be able to write simple scripts for processing data in spreadsheets as well as databases. Youll 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 Pythons 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

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Autor: Clinton W. Brownley
ISBN-13 :: 9781491922507
ISBN: 1491922508
Verlag: O'Reilly Media
Seiten: 352
Sprache: Englisch
Sonstiges: Ebook, Maximale Downloadanzahl: 3