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python3-pandas+parquet-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in parquet extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
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Data Science
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BastionLinux 36
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python3-pandas+performance-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in performance extras requires for
python3-pandas.
It makes sure the dependencies are installed.
Located in
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Data Science
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BastionLinux 36
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python3-pandas+plot-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in plot extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
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Data Science
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BastionLinux 36
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python3-pandas+postgresql-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in postgresql extras requires for
python3-pandas.
It makes sure the dependencies are installed.
Located in
LBN
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Data Science
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BastionLinux 36
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python3-pandas+pyarrow-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in pyarrow extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
LBN
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Data Science
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BastionLinux 36
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python3-pandas+spss-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in spss extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
LBN
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Data Science
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BastionLinux 36
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python3-pandas+sql-other-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in sql-other extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
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Data Science
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BastionLinux 36
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python3-pandas+test-2.2.1-1.lbn36.x86_64
These are the tests for python3-pandas. This package:
• Provides the “pandas.tests” package
• Makes sure the “test” extra dependencies are installed
• Carries additonal weak dependencies for running the tests
Located in
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Data Science
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BastionLinux 36
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python3-pandas+xml-2.2.1-1.lbn36.x86_64
This is a metapackage bringing in xml extras requires for python3-pandas.
It makes sure the dependencies are installed.
Located in
LBN
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Data Science
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BastionLinux 36
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python3-pandas-stubs-1.5.3.230304-1.lbn36.noarch
pandas-stubs: Public type stubs for pandas[
