Foundations for Analytics with Python (eBook, PDF)
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 produ...
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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