Showing 6 open source projects for "empty"

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  • 1
    nb-clean

    nb-clean

    Clean Jupyter notebooks of outputs, metadata, and empty cells

    nb-clean cleans Jupyter notebooks of cell execution counts, metadata, outputs, and (optionally) empty cells, preparing them for committing to version control. It provides both a Git filter and pre-commit hook to automatically clean notebooks before they're staged, and can also be used with other version control systems, as a command line tool, and as a Python library. It can determine if a notebook is clean or not, which can be used as a check in your continuous integration pipelines. nb-clean can also be used as a pre-commit hook. ...
    Downloads: 0 This Week
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  • 2
    WordCloud.jl

    WordCloud.jl

    Word cloud generator in julia

    ...This visualization solution guarantees precise results. Each word appears only once, and its font size is determined solely by the provided weight. Words are never repeated or shrunk artificially to fill empty spaces. It utilizes intelligent strategies and efficient nesting algorithms, implemented entirely in Julia (see Stuffing.jl). As a result, it can easily generate high-resolution word clouds.
    Downloads: 0 This Week
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  • 3
    missingno

    missingno

    Missing data visualization module for Python

    Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset. Just pip install missingno to get started. This quickstart uses a sample of the NYPD Motor Vehicle Collisions Dataset dataset. The msno.matrix nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion. At a...
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  • 4
    NYCOpenData-Profiling-Analysis

    NYCOpenData-Profiling-Analysis

    Open Data Profiling, Quality and Analysis on NYC OpenData dataset

    Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all...
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  • 5
    DVCS-Ripper

    DVCS-Ripper

    Rip web accessible (distributed) version control systems: SVN/GIT/HG

    DVCS Ripper is a security and forensics toolkit that reconstructs source code repositories accidentally exposed on web servers. It understands multiple version-control systems—Git, Mercurial, Bazaar, and Subversion—and crawls their metadata directories to rebuild full history where possible. The utilities handle partial or blocked directory listings by guessing object paths and assembling missing pieces from loose files. Investigators and red-teamers use it to demonstrate the risk of...
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  • 6
    Visual Turing Machine is a tool for visually designing Turing machines. This means no coding in abstract scripting languages, but simple point&click design. It uses the a..z symbol set, plus the "empty" # symbol, and also simulates an infinite tape.
    Downloads: 1 This Week
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