This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9781491948811.

Bestandsnummer des Verk�ufers 5813415

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Bibliografische Details

Titel

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

Verlag

O'reilly Media

Ver�ffentlichungsdatum

2016

Sprache

Englisch

ISBN-10

1491948817

ISBN-13

9781491948811

Bindung

Softcover

Zustand

Poor

Verk�uferkataloge

Computing

�ber diesen Titel

Inhaltsangabe

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

�ber die Autorin bzw. den 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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