Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Foundations for Analytics with Python: From Non-Programmer to Hacker

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

Brownley, Clinton W.

Paperback

ApplicationsDatabasesProgramming

ISBN10: 1491922532
ISBN13: 9781491922538
Publisher: O'Reilly Media
Published: Oct 4 2016
Pages: 349
Weight: 1.20
Height: 0.80 Width: 6.90 Depth: 9.10
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

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