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A01=Christian Heinrich Spiess
A01=Jacqueline Kazil
A01=Katharine Jarmul
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Age Group_Uncategorized
Author_Christian Heinrich Spiess
Author_Jacqueline Kazil
Author_Katharine Jarmul
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Category1=Non-Fiction
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COP=United States
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Language_English
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Data Wrangling with Python

★★★★★
★★★★★

English

By (author): Christian Heinrich Spiess Jacqueline Kazil Katharine Jarmul

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 See more
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A01=Christian Heinrich SpiessA01=Jacqueline KazilA01=Katharine JarmulAge Group_UncategorizedAuthor_Christian Heinrich SpiessAuthor_Jacqueline KazilAuthor_Katharine Jarmulautomatic-updateCategory1=Non-FictionCategory=UMWCategory=UNCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=Activesoftlaunch
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Product Details
  • Weight: 874g
  • Dimensions: 177 x 232mm
  • Publication Date: 15 Mar 2016
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781491948811

About Christian Heinrich SpiessJacqueline KazilKatharine Jarmul

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.

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