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### Rationale for this change The tests are failing on windows when using numpy 2.0 RC, probably related to default integer bitwidth. ### What changes are included in this PR? ### Are these changes tested? ### Are there any user-facing changes? * GitHub issue: #41319 * GitHub Issue: #41924 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
Python library for Apache Arrow
This library provides a Python API for functionality provided by the Arrow C++ libraries, along with tools for Arrow integration and interoperability with pandas, NumPy, and other software in the Python ecosystem.
Installing
Across platforms, you can install a recent version of pyarrow with the conda package manager:
conda install pyarrow -c conda-forge
On Linux, macOS, and Windows, you can also install binary wheels from PyPI with pip:
pip install pyarrow
If you encounter any issues importing the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.
Development
See Python Development in the documentation subproject.
Building the documentation
See documentation build instructions in the documentation subproject.