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Foundations for analytics with python: from non-programmer to hacker, clinton brownley

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Описание

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

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