Showing 8 open source projects for "3.7"

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    Veeam Data Platform v13.1

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  • 1
    cuDF

    cuDF

    GPU DataFrame Library

    ...For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
    Downloads: 6 This Week
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  • 2
    atpbar

    atpbar

    Progress bars for threading and multiprocessing tasks on terminal

    Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which...
    Downloads: 12 This Week
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  • 3
    PythonCall & JuliaCall

    PythonCall & JuliaCall

    Python and Julia in harmony

    Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays...
    Downloads: 24 This Week
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  • 4
    harmonypy

    harmonypy

    Integrate multiple high-dimensional datasets with fuzzy k-means

    Harmony is an algorithm for integrating multiple high-dimensional datasets. harmonypy is a port of the harmony R package by Ilya Korsunsky. Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq.
    Downloads: 1 This Week
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  • 5
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen.
    Downloads: 0 This Week
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  • 6

    Stanford Data Miner

    Tools for integration and analysis of heterogeneous immunological data

    ...Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. Both apps use MySQL for back-end data persistence. Currently, the documentation contained herein is not intended to provide comprehensive instructions on installing and configuring the system. Please contact a project administrator for more information.
    Downloads: 0 This Week
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  • 7
    Optimus

    Optimus

    Agile Data Preparation Workflows made easy with Pandas

    Easily write code to clean, transform, explore and visualize data using Python. Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs.
    Downloads: 0 This Week
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  • 8

    Ubuntu -16.04-DataScience-stack

    To provide a customized environment to practice data science

    Although its a relatively easy task to setup, a customized environment to practice data science with the python tool stack is less common, including this site, Vagrant boxes and osboxes.org. Hence this project is kicked out as of early 2019.
    Downloads: 0 This Week
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