Showing 3 open source projects for "data processing"

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  • 1
    JC

    JC

    CLI tool and python library

    CLI tool and python library that converts the output of popular command-line tools and file types to JSON or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary...
    Downloads: 2 This Week
    Last Update:
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  • 2
    Data Science at the Command Line

    Data Science at the Command Line

    Data science at the command line

    ...-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
    Downloads: 0 This Week
    Last Update:
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  • 3
    pup

    pup

    Parsing HTML at the command line

    pup is a command line tool for processing HTML. It reads from stdin, prints to stdout, and allows the user to filter parts of the page using CSS selectors. Inspired by jq, pup aims to be a fast and flexible way of exploring HTML from the terminal. If you have Go installed on your computer just run go get. If you're on OS X, use Homebrew to install (no Go required). By default pup will fill in missing tags and properly indent the page. CSS selectors have a group of specifiers called "pseudo...
    Downloads: 1 This Week
    Last Update:
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