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#pydatanyc2024 — Public Fediverse posts

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  1. The PyData NYC 2024 talk videos are available online! youtube.com/playlist?list=PLGV

    Here is the link to the GPU acceleration in Python tutorial that I referenced above: youtu.be/Aumh3evLSKc?feature=s

    #PyDataNYC2024
    #python

  2. At PyData NYC tutorial, by Jacob Tomlinson, I learned that now it is possible to access the same array on the GPU from pytorch and cupy. I'm loving how it will let you use the strengths of different libraries without dealing with extra memory copies.

    nyc2024.pydata.org/cfp/talk/VA
    #PyDataNYC2024
    #pytorch
    #cupy

  3. At PyData NYC tutorial, by Jacob Tomlinson, I learned that now it is possible to access the same array on the GPU from pytorch and cupy. I'm loving how it will let you use the strengths of different libraries without dealing with extra memory copies.

    nyc2024.pydata.org/cfp/talk/VA
    #PyDataNYC2024
    #pytorch
    #cupy

  4. At PyData NYC tutorial, by Jacob Tomlinson, I learned that now it is possible to access the same array on the GPU from pytorch and cupy. I'm loving how it will let you use the strengths of different libraries without dealing with extra memory copies.

    nyc2024.pydata.org/cfp/talk/VA
    #PyDataNYC2024
    #pytorch
    #cupy

  5. At PyData NYC tutorial, by Jacob Tomlinson, I learned that now it is possible to access the same array on the GPU from pytorch and cupy. I'm loving how it will let you use the strengths of different libraries without dealing with extra memory copies.

    nyc2024.pydata.org/cfp/talk/VA
    #PyDataNYC2024
    #pytorch
    #cupy

  6. At PyData NYC tutorial, by Jacob Tomlinson, I learned that now it is possible to access the same array on the GPU from pytorch and cupy. I'm loving how it will let you use the strengths of different libraries without dealing with extra memory copies.

    nyc2024.pydata.org/cfp/talk/VA
    #PyDataNYC2024
    #pytorch
    #cupy