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ci/deps/actions-310-minimum_versions.yaml

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# optional dependencies
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- beautifulsoup4=4.12.3
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- blosc=1.21.3
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- blosc=1.21.6
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- bottleneck=1.3.6
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- fastparquet=2024.2.0
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- fsspec=2024.2.0

ci/deps/actions-310.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- blosc>=1.21.6
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-311-downstream_compat.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- blosc>=1.21.6
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-311.yaml

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@@ -24,7 +24,7 @@ dependencies:
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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- blosc>=1.21.6
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-312.yaml

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@@ -24,7 +24,7 @@ dependencies:
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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- blosc>=1.21.6
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/circle-311-arm64.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- blosc>=1.21.6
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

doc/source/getting_started/install.rst

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@@ -305,7 +305,7 @@ Installable with ``pip install "pandas[hdf5, parquet, feather, spss, excel]"``
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Dependency Minimum Version pip extra Notes
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====================================================== ================== ================ ==========================================================
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`PyTables <https://github.com/PyTables/PyTables>`__ 3.9.2 hdf5 HDF5-based reading / writing
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`blosc <https://github.com/Blosc/c-blosc>`__ 1.21.3 hdf5 Compression for HDF5; only available on ``conda``
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`blosc <https://github.com/Blosc/c-blosc>`__ 1.21.6 hdf5 Compression for HDF5; only available on ``conda``
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`zlib <https://github.com/madler/zlib>`__ hdf5 Compression for HDF5
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`fastparquet <https://github.com/dask/fastparquet>`__ 2024.2.0 - Parquet reading / writing (pyarrow is default)
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`pyarrow <https://github.com/apache/arrow>`__ 10.0.1 parquet, feather Parquet, ORC, and feather reading / writing

pandas/compat/_optional.py

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"adbc-driver-postgresql": "0.10.0",
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"adbc-driver-sqlite": "0.8.0",
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"bs4": "4.12.3",
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"blosc": "1.21.3",
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"blosc": "1.21.6",
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"bottleneck": "1.3.6",
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"fastparquet": "2024.2.0",
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"fsspec": "2024.2.0",

pyproject.toml

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'adbc-driver-sqlite>=0.8.0',
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'beautifulsoup4>=4.12.3',
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# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
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#'blosc>=1.21.3',
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#'blosc>=1.21.6',
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'bottleneck>=1.3.6',
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'fastparquet>=2024.2.0',
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'fsspec>=2024.2.0',

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