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1. Python Pandas Ditches NumPy for Speedier PyArrow

   Pandas 3.0 will significantly boost performance by replacing NumPy with PyArrow as its default engine, enabling faster loading and reading of columnar data.

   2025-05-27 Tags: python, pandas, numpy, pyarrow, data analysis, performance, machine learning by klotz
2. A Fresh Look at Clustering Algorithms | by Dmitry Selemir | Towards Data Science

   2021-10-24 Tags: clustering, python, machine learning, numpy by klotz
3. 1.6. Nearest Neighbors — scikit-learn 0.24.2 documentation

   >>> from sklearn.neighbors import NearestCentroid
   >>> import numpy as np
   >>> X = np.array( [-1, -1 » , -2, -1 » , -3, -2 » , 1, 1 » , 2, 1 » , 3, 2 » ])
   >>> y = np.array( 1, 1, 1, 2, 2, 2 » )
   >>> clf = NearestCentroid()
   >>> clf.fit(X, y)
   NearestCentroid()
   >>> print(clf.predict( [-0.8, -1 » ]))
   1 »

   2021-09-02 Tags: knn, centroid, machine learning, numpy, python by klotz

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