NCA-ADS - Foundations of Accelerated Data Science - Section 5.1
Apply Python fundamentals with NumPy, pandas, and Jupyter.
Apply core Python data science tools - NumPy for array operations, pandas for tabular data, and Jupyter for interactive notebooks - as the foundation of accelerated workflows. Recognise how these libraries integrate with RAPIDS and form the base layer that cuDF and cuML replace or extend.
NumPypandasJupyter
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