Kód: 05192109
In this practical guide, you'll learn how to leverage the power of the command line for doing data science. By combining small, yet powerful, command-line tools, you can quickly obtain, scrub, explore, and model your data. Even if ... celý popis
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In this practical guide, you'll learn how to leverage the power of the command line for doing data science. By combining small, yet powerful, command-line tools, you can quickly obtain, scrub, explore, and model your data. Even if you're already comfortable processing data with R or Python, being able to integrate the command line into your existing workflow will make you a more efficient and productive data scientist. Learn essential concepts and built-in commands of the *nix command line Get started with your own Data Science Toolbox on either Linux, Mac OS X, or Microsoft Windows Use classic command-line tools such as grep, sed, and awk Obtain data from websites, APIs, databases, and spreadsheets Parallelize and distribute data-intensive pipelines to remote machines, including AWS EC2 Clean data in CSV, JSON, and XML/HTML formats using csvkit, and jq, and scrape Apply dimensionality reduction, clustering, regression, and classification algorithms Visualize data and results from the command line using gnuplot and ggplot Turn Bash one-liners and existing Python and R code into reusable command-line tools
Zařazení knihy Knihy v angličtině Computing & information technology Databases Data capture & analysis
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