Data Wrangling with Python: Tips and Tools to Make Your Life Easier

Kazil, Jacqueline; Jarmul, Katharine

ISBN 10: 1491948817 ISBN 13: 9781491948811

Editorial: O'Reilly Media, 2016

Idioma: Ingl�s

Condici�n: Usado - Como Nuevo Encuadernaci�n de tapa blanda

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Descripci�n

Softcover. Good binding and cover. Light wear. Top edge scuffed. Clean, unmarked pages.

N� de ref. del art�culo 2306060073

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Detalles bibliogr�ficos

T�tulo

Data Wrangling with Python: Tips and Tools to Make Your Life Easier

Editor

O'Reilly Media

Fecha de publicaci�n

2016

Idioma

Ingl�s

ISBN 10

1491948817

ISBN 13

9781491948811

Encuadernaci�n

Paperback

Estado

As New

Cat�logos de vendedores

Computers

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Sinopsis

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

Acerca del autor

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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