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

Kazil, Jacqueline; Jarmul, Katharine

Softcover

ISBN 10: 1491948817 ISBN 13: 9781491948811

Verlag: O'Reilly Media, 2016

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

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Reseña del editor

Digging into data does not have to be painful. With this book, 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.

Biografía 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. 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/).

Details zur Ausgabe

• Verlag: O'Reilly Media
• Erscheinungsdatum: 2016
• ISBN 10: 1491948817
• ISBN 13: 9781491948811
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 505