Data Wrangling with Python
Tips and Tools to Make Your Life Easier
Publisher: O'Reilly Media
Final Release Date: February 2016
Pages: 508

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
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oreillyData Wrangling with Python
 
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5.0

Great tool for learning how to get and clean data

By breaking out of science

from Washington, DC

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Pros

  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Intermediate
    • Novice
    • Student

    Comments about oreilly Data Wrangling with Python:

    This book provides a great intro to getting and munging data from a wide variety of sources: text files, Excel files, PDFs, and web-scraping. It also introduces many valuable tools for working with data using Python, both as part of the main text and in the appendices. This book is written to be approachable from everyone from beginner to novice Python users. While I have been using Python in science for 4 years, I found the sections on web scraping to be a great resource.

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