Usage Recommendations (Teradata Package for Python on IBM PowerPC) - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Teradata Package for Python
Release Number
20.00
Published
March 2025
ft:locale
en-US
ft:lastEdition
2026-02-20
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nvi1706202040305.ditamap
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plt1683835213376.ditaval
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rkb1531260709148
Product Category
Teradata Vantage

Recommendations

  • Use conda-forge channel provided by conda package manager for scientific packages.
    conda install -c conda-forge numpy pandas scikit-learn lightgbm matplotlib
  • Use pip only for pure Python packages.
    pip install teradataml --no-cache-dir
  • Keep dependencies consistent.
    conda list  # Check what's installed via conda
    pip list    # Check what's installed via pip

Considerations

  • Don’t install scientific packages via pip on PowerPC.
    pip install numpy pandas scikit-learn  # This will fail with compiler errors
  • Don't try to compile from source.
    pip install --no-binary=:all: numpy   # This will fail on PowerPC
  • Don't mix conda and pip for the same packages.
    conda install numpy
    pip install numpy  # This can cause conflicts

Environment Support

If you encounter issues:
  • Check your architecture:
    uname -m' should show 'ppc64le
  • Verify conda-forge channel:
    conda config --show channels
  • Update conda:
    conda update conda
  • Check package conflicts:
    conda list | grep numpy