-
python3-papermill+all-2.6.0-3.lbn36.noarch
This is a metapackage bringing in all extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+azure-2.6.0-3.lbn36.noarch
This is a metapackage bringing in azure extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+black-2.6.0-3.lbn36.noarch
This is a metapackage bringing in black extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+gcs-2.6.0-3.lbn36.noarch
This is a metapackage bringing in gcs extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+github-2.6.0-3.lbn36.noarch
This is a metapackage bringing in github extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+hdfs-2.6.0-3.lbn36.noarch
This is a metapackage bringing in hdfs extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+s3-2.6.0-3.lbn36.noarch
This is a metapackage bringing in s3 extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill-2.6.0-3.lbn36.noarch
papermill is a tool for parameterizing, executing, and analyzing Jupyter
Notebooks.
Papermill lets you:
- parameterize notebooks
- execute notebooks
This opens up new opportunities for how notebooks can be used. For example:
- Perhaps you have a financial report that you wish to run with different
values on the first or last day of a month or at the beginning or end of the
year, using parameters makes this task easier.
- Do you want to run a notebook and depending on its results, choose a
particular notebook to run next? You can now programmatically execute a
workflow without having to copy and paste from notebook to notebook manually.
Papermill takes an opinionated approach to notebook parameterization and
execution based on our experiences using notebooks at scale in data pipelines.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill-2.6.0-3.lbn36.noarch
papermill is a tool for parameterizing, executing, and analyzing Jupyter
Notebooks.
Papermill lets you:
- parameterize notebooks
- execute notebooks
This opens up new opportunities for how notebooks can be used. For example:
- Perhaps you have a financial report that you wish to run with different
values on the first or last day of a month or at the beginning or end of the
year, using parameters makes this task easier.
- Do you want to run a notebook and depending on its results, choose a
particular notebook to run next? You can now programmatically execute a
workflow without having to copy and paste from notebook to notebook manually.
Papermill takes an opinionated approach to notebook parameterization and
execution based on our experiences using notebooks at scale in data pipelines.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill-2.6.0-3.lbn36.noarch
papermill is a tool for parameterizing, executing, and analyzing Jupyter
Notebooks.
Papermill lets you:
- parameterize notebooks
- execute notebooks
This opens up new opportunities for how notebooks can be used. For example:
- Perhaps you have a financial report that you wish to run with different
values on the first or last day of a month or at the beginning or end of the
year, using parameters makes this task easier.
- Do you want to run a notebook and depending on its results, choose a
particular notebook to run next? You can now programmatically execute a
workflow without having to copy and paste from notebook to notebook manually.
Papermill takes an opinionated approach to notebook parameterization and
execution based on our experiences using notebooks at scale in data pipelines.
Located in
LBN
/
…
/
Core Linux
/
BastionLinux 36
