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NVIDIA
DLI Accelerating Data Engineering Pipelines - Base Environment
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NVIDIA
NVIDIA
DLI Accelerating Data Engineering Pipelines - Base Environment

Base environment used in the NVIDIA Deep Learning Institute (DLI) Course Accelerating Data Engineering Pipelines, along with other useful libraries for aspiring and professional Data Engineers.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
05/21/2021 9:56 AM UTC
sha256:8a6f16b48da315781d51c2e0c10d7d25a2f7c1c02aaea27d9ca1dd1e790dd001RUN
/bin/bash -c #(nop) ADD file:8a881e6953accdc8b4f595eb2e0905abba9d47bd5437a3ebde58e6d83f6bf724 in /usr/local/bin
05/21/2021 9:56 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) EXPOSE 8888
05/21/2021 9:56 AM UTC
sha256:07aeaedea0cd71566f3d622b68db800897f4bcc6a7d7dff9e4bfd8021351970aRUN
/bin/bash -c #(nop) ADD dir:c39450f2eaee107d91165ab399308f0ffe86bf53b28386064c6586a6d8eacafa in .
05/21/2021 9:56 AM UTC
sha256:4149d6bb2102ae6fd98f44f22e72b2171e173dca7e797550d3fd45fdb6239f7dRUN
/bin/bash -c #(nop) WORKDIR /dli/task
05/19/2021 7:34 AM UTC
sha256:c06debf4e835f27ea12ffd36e63147258bff7ffe1b34121ae73b83fb9e744f03RUN
/bin/bash -c #(nop) WORKDIR /dli
05/19/2021 7:34 AM UTC
sha256:69a81bf820909bc2f62aff39fd4dc79624553ba8694ceb513045178906a090a8RUN
/bin/bash -c conda run -n rapids jupyter lab build
05/19/2021 7:34 AM UTC
sha256:d494c2a472f948e9f2c5c8c0782b79d4ce5bedf110e0da7eee744d4087ffde59RUN
/bin/bash -c conda run -n rapids jupyter labextension install jupyterlab-plotly
05/19/2021 7:33 AM UTC
sha256:7a13d5c65668e99ee51deb9d0efb77592a848d2950aeb1d8eab92d7846f8fcefRUN
/bin/bash -c conda run -n rapids pip install --upgrade jupyterlab
05/19/2021 7:31 AM UTC
sha256:9cef1636e2a5b1fcc0f33be245f9e270b258b01e2aed0ae72e3a4b7b9e49cbf7RUN
/bin/bash -c conda run -n rapids pip install nvtabular
05/19/2021 7:31 AM UTC
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