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Data Wrangling with Python: Tips and Tools to Make Your Life Easier by [Kazil, Jacqueline, Jarmul, Katharine]
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Data Wrangling with Python: Tips and Tools to Make Your Life Easier 1st Edition, Kindle Edition

4.0 out of 5 stars 1 customer review

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Product description

Book Description

Taming Your Data

About the Author

Jacqueline Kazil is a Presidential Innovation Fellow working on Disaster Response and Recovery at the Federal Emergency Management Agency (FEMA). Jackie is a software developer passionate about human behavior and open data. Most recently, she worked for CACI, where she was lead developer on a contract at The Library of Congress, working on projects such as Chronicling America and Congress.gov. Previously, Jackie worked for The Washington Post on news-driven data applications—including the notable Top Secret America series, which received multiple awards including the 2010 George Polk Award for Journalism and was a SXSW Finalist for Technical Achievement. She has experience in software development using best practices, data analysis, modeling and simulation, social network analysis, data handling, data storage, mapping, and geospatial analysis. She is also active in open-source community development. She founded PyLadies DC and Geo DC. She also runs Django District and assists with DC Python. Jackie received her MA in Convergence Journalism from the University of Missouri, and she is currently working on her PhD in Computational Social Science at George Mason University. She lives in Washington, DC, with her husband and their three rescued dogs.

Katharine Jarmul is a Python developer who enjoys data analysis and acquisition, web scraping, teaching Python and all things Unix. She has worked at small and large start ups before starting her consulting career overseas. Originally from Los Angeles, she learned Python while working at the Washington Post in 2008. As one of the founders of PyLadies (http://pyladies.org/), Katharine hopes to promote diversity in Python and other open source languages through education and training. She has led numerous workshops and tutorials ranging from beginner to advanced topics in Python. For more information on upcoming trainings, reach out to her on Twitter (http://twitter.com/kjam) or her her web site (http://kjamistan.com/).


Product details

  • Format: Kindle Edition
  • File Size: 9047.0 KB
  • Print Length: 510 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (4 Feb. 2016)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B01BHC06QC
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #486,653 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Top customer reviews

16 July 2016
Format: Paperback
0Comment| One person found this helpful. Was this review helpful to you? Report abuse

Most helpful customer reviews on Amazon.com

Amazon.com: 3.7 out of 5 stars 11 reviews
science_mom
1.0 out of 5 starsBarely includes anything on NumPy, nothing on Pandas - doesn't seem like it would be useful for actually 'wrangling data'
14 June 2016 - Published on Amazon.com
Format: Paperback|Verified Purchase
22 people found this helpful.
S.Ahmed
5.0 out of 5 starsI am impressed, the book is a breeze to ...
29 August 2016 - Published on Amazon.com
Format: Paperback|Verified Purchase
One person found this helpful.
Simon Zamarin
3.0 out of 5 starsGood introductory book
24 May 2016 - Published on Amazon.com
Verified Purchase
9 people found this helpful.
Amazon Customer
5.0 out of 5 starsFive Stars
7 February 2017 - Published on Amazon.com
Format: Paperback|Verified Purchase
Christiane Heiligers
5.0 out of 5 starsFive Stars
16 June 2016 - Published on Amazon.com
Format: Paperback|Verified Purchase
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