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Read parquet data directly into numpy array

Project description

JollyJack

Features

  • Reading parquet data from parquet file directly into numpy array

Required:

  • pyarrow ~= 16.0

JollyJack operates on top of pyarrow, making it an essential requirement for both building and using PalletJack. While our source package is compatible with recent versions of pyarrow, the binary distribution package specifically requires the latest major version of pyarrow.

Installation

pip install jollyjack

How to use:

TODO:


Project details


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Source Distribution

jollyjack-0.1.0.tar.gz (121.2 kB view hashes)

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jollyjack-0.1.0-cp312-cp312-win_amd64.whl (50.9 kB view hashes)

Uploaded CPython 3.12 Windows x86-64

jollyjack-0.1.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (795.5 kB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

jollyjack-0.1.0-cp311-cp311-win_amd64.whl (50.6 kB view hashes)

Uploaded CPython 3.11 Windows x86-64

jollyjack-0.1.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (787.0 kB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

jollyjack-0.1.0-cp310-cp310-win_amd64.whl (50.3 kB view hashes)

Uploaded CPython 3.10 Windows x86-64

jollyjack-0.1.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (770.4 kB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

jollyjack-0.1.0-cp39-cp39-win_amd64.whl (50.3 kB view hashes)

Uploaded CPython 3.9 Windows x86-64

jollyjack-0.1.0-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (770.2 kB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64 manylinux: glibc 2.28+ x86-64

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