The Apache Arrow team is pleased to announce the 0.4.1 release of the project. This is a bug fix release that addresses a regression with Decimal types in the Java implementation introduced in 0.4.0 (see ARROW-1091). There were a total of 31 resolved JIRAs.
See the Install Page to learn how to get the libraries for your platform.
Max Risuhin contributed fixes to enable binary wheel installers to be generated for Python 3.5 and 3.6. Thus, 0.4.1 is the first Arrow release for which PyArrow including bundled Apache Parquet support that can be installed with either conda or pip across the 3 major platforms: Linux, macOS, and Windows. Use one of:
pip install pyarrow conda install pyarrow -c conda-forge
Turbodbc, a fast C++ ODBC interface with Python bindings, released
version 2.0.0 including reading SQL result sets as Arrow record batches. The
team used the PyArrow C++ API introduced in version 0.4.0 to construct
pyarrow.Table objects inside the
turbodbc library. Learn more in their
documentation and install with one of:
pip install turbodbc conda install turbodbc -c conda-forge