Foundations for Analytics with Python
From Non-Programmer to Hacker
Publisher: O'Reilly Media
Final Release Date: August 2016
Pages: 356

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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oreillyFoundations for Analytics with Python
 
5.0

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5.0

Excellent "practical" python book

By GeeDay

from Portland, Oregon

About Me Data Scientist

Verified Reviewer

Pros

  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Novice

    Comments about oreilly Foundations for Analytics with Python:

    Book provides practical examples, a very good launching pad after basic understanding of python fundamentals. Author went to great length to make book descriptive.. I would have liked to see more exercises.

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