Data Wrangling with Python

Data Wrangling with Python

by Katharine Jarmul and Jacqueline Kazil
Publication Date: 04/02/2016

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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.


Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.



  • Quickly learn basic Python syntax, data types, and language concepts

  • Work with both machine-readable and human-consumable data

  • Scrape websites and APIs to find a bounty of useful information

  • Clean and format data to eliminate duplicates and errors in your datasets

  • Learn when to standardize data and when to test and script data cleanup

  • Explore and analyze your datasets with new Python libraries and techniques

  • Use Python solutions to automate your entire data-wrangling process

ISBN:
9781491948774
9781491948774
Category:
Database design & theory
Publication Date:
04-02-2016
Language:
English
Publisher:
O'Reilly Media

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