Data Science at the Command Line (eBook, PDF) - Janssens, Jeroen
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  • Format: PDF

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. Youll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you startedwhether youre on Windows, OS X, or Linuxauthor Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.Discover why the command line is an agile, scalable, and extensible technology. Even if youre already comfortable processing data with, say,…mehr

Produktbeschreibung
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. Youll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you startedwhether youre on Windows, OS X, or Linuxauthor Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.Discover why the command line is an agile, scalable, and extensible technology. Even if youre already comfortable processing data with, say, Python or R, youll greatly improve your data science workflow by also leveraging the power of the command line.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on plain text, CSV, HTML/XML, and JSONExplore data, compute descriptive statistics, and create visualizationsManage your data science workflow using DrakeCreate reusable tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelines using GNU ParallelModel data with dimensionality reduction, clustering, regression, and classification algorithms

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Autorenporträt
Jeroen Janssens is an assistant professor of data science at Tilburg University. As an independent consultant and trainer, he helps organizations making sense of their data. Previously, he was a data scientist at Elsevier in Amsterdam and startups YPlan and Visual Revenue in New York City. Jeroen holds an MSc in artificial intelligence from Maastricht University and a PhD in machine learning from Tilburg University. He's passionate about building open source tools for data science.