Data wrangling with Python

Data wrangling with Python

by Kazil, Jacqueline

Type Book
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Digging into data does not have to be painful. With Data Wrangling with Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don't have to be a programmer to tell them. What you need is to understand the context of the data and to know a few of the techniques found in this book. You'll learn enough Python to be empowered to engage with your data…

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Title Statements

  • Full title :Data wrangling with Python / Jacqueline Kazil and Katharine Jarmul.

Summary

Digging into data does not have to be painful. With Data Wrangling with Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You don't have to be a programmer to tell them. What you need is to understand the context of the data and to know a few of the techniques found in this book. You'll learn enough Python to be empowered to engage with your data, through a series of examples that grow in complexity throughout the book.

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Edition Statements

  • Publication Date:©2016
  • Edition:First edition

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol, CA
  • Language:eng
  • Publication Date:©2016

Notes

Includes index.

The Physical Object

  • Description:xvi, 488 pages : : illustrations ; : 23 cm

Edition Identifiers

  • ISBN:9781491948811, 1491948817
  • oclc:ocn943665040
  • LC Classification:QA76.73.P98
  • Dewey Decimal:005.133

Table of Contents

Introduction to Python -- Python basics -- Data meant to be read by machines -- Working with Excel files -- PDFs and problem solving in Python -- Acquiring and storing data -- Data cleanup: investigation, matching, and formatting -- Data cleanup: standardizing and scripting -- Data exploration and analysis -- Presenting your data -- Web scraping: acquiring and storing data from the web -- Advanced web scraping: screen scrapers and spiders -- APIs -- Automation and scaling -- Conclusion.

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