Showing 4 open source projects for "disk"

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  • 1
    nb-clean

    nb-clean

    Clean Jupyter notebooks of outputs, metadata, and empty cells

    ...You may prefer this to the Git filter if your project already uses the pre-commit framework. Note that the Git filter and pre-commit hook work differently, with different effects on your working directory. The pre-commit hook operates on the notebook on disk, cleaning the copy in your working directory. The Git filter cleans notebooks as they are added to the index, leaving the copy in your working directory dirty.
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  • 2

    Data Spooler For Oracle #SaveUkraine

    Simplified turbo spooler for Oracle.

    #SaveUkraine #StopRussia #FreeUkraine #StopPutin #CrimeaIsUkraine #UnitedForUkraine #RussiaInvadedUkraine Exports/Spools scalar data on disk for a given Oracle table. Turbo mode spools 5x faster.
    Downloads: 0 This Week
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  • 3
    Portable Linux

    Portable Linux

    Portable Ubuntu Linux for Scientific Computing

    Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated. https://sourceforge.net/projects/portable-linux/files/ Installation 1. ...
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  • 4

    Electrophysiology & circular stats tools

    Data analysis and circular statistics with OpenElectrophy and R

    ...The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates.
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