Data Wrangling with Python
商品資訊
ISBN13：9781491948811
出版社：Oreilly & Associates Inc
作者：Jacqueline Kazil; Katharine Jarmul
出版日：2016/02/25
裝訂／頁數：平裝／300頁
規格：22.9cm*17.1cm*3.2cm (高/寬/厚)
商品簡介
Digging into data does not have to be painful. With Data Wrangling Using 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.
作者簡介
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.
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