Showing 5 open source projects for "text processing"

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  • 1
    TUI apps

    TUI apps

    Terminal User Interface (TUI) apps

    ...The repository includes a Python regular-expression playground and more than 100 regex exercises. Separate programs provide over 50 grep exercises, over 50 sed exercises, and over 80 GNU awk exercises. A broader CLI text-processing app contains more than 70 additional challenges, while another section covers beginner-to-intermediate Python practice. The collection also includes small terminal games such as Square Tic Tac Toe and Connect Square. Each application is kept as a separate project, making the repository useful both for learners and for developers studying TUI design.
    Downloads: 1 This Week
    Last Update:
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  • 2
    ansifilter

    ansifilter

    ANSI sequence filter

    Ansifilter handles text files containing ANSI terminal escape codes. The command sequences may be stripped or be interpreted to generate formatted output (HTML, RTF, TeX, LaTeX, BBCode and Pango Markup).
    Downloads: 5 This Week
    Last Update:
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  • 3
    Script Echo Color

    Script Echo Color

    Terminal text colorizing and simplifies script coding.

    ScriptEchoColor simplifies Linux terminal text colorizing, formatting and several steps of script coding.
    Downloads: 0 This Week
    Last Update:
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  • 4
    ddgr

    ddgr

    DuckDuckGo from the terminal

    ...The tool also supports options like opening a selected result in a web browser, piping results into other tools, and restricting searches to specific formats such as text-only or JSON for further processing. Because it avoids third-party tracking and ads built into many browser search experiences, ddgr appeals to users seeking greater control over data and a faster, distraction-free search flow.
    Downloads: 8 This Week
    Last Update:
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  • 5
    Data Science at the Command Line

    Data Science at the Command Line

    Data science at the command line

    ...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: 1 This Week
    Last Update:
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