How to Install and Uninstall python39-pyarrow Package on openSuSE Tumbleweed
Last updated: November 24,2024
1. Install "python39-pyarrow" package
Learn how to install python39-pyarrow on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python39-pyarrow
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2. Uninstall "python39-pyarrow" package
Please follow the steps below to uninstall python39-pyarrow on openSuSE Tumbleweed:
$
sudo zypper remove
python39-pyarrow
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3. Information about the python39-pyarrow package on openSuSE Tumbleweed
Information for package python39-pyarrow:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-pyarrow
Version : 15.0.1-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 17.1 MiB
Installed : No
Status : not installed
Source package : python-pyarrow-15.0.1-2.1.src
Upstream URL : https://arrow.apache.org/
Summary : Python library for Apache Arrow
Description :
Python library for Apache Arrow.
Apache Arrow defines a language-independent columnar
memory format for flat and hierarchical data, organized
for efficient analytic operations on modern hardware like
CPUs and GPUs. The Arrow memory format also supports
zero-copy reads for lightning-fast data access without
serialization overhead.
Arrow's libraries implement the format and provide building
blocks for a range of use cases, including high performance
analytics. Many popular projects use Arrow to ship columnar
data efficiently or as the basis for analytic engines.
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-pyarrow
Version : 15.0.1-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 17.1 MiB
Installed : No
Status : not installed
Source package : python-pyarrow-15.0.1-2.1.src
Upstream URL : https://arrow.apache.org/
Summary : Python library for Apache Arrow
Description :
Python library for Apache Arrow.
Apache Arrow defines a language-independent columnar
memory format for flat and hierarchical data, organized
for efficient analytic operations on modern hardware like
CPUs and GPUs. The Arrow memory format also supports
zero-copy reads for lightning-fast data access without
serialization overhead.
Arrow's libraries implement the format and provide building
blocks for a range of use cases, including high performance
analytics. Many popular projects use Arrow to ship columnar
data efficiently or as the basis for analytic engines.