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The document discusses the use of NumPy for array manipulation and distance calculations, specifically with the MNIST dataset containing 70,000 handwritten digit images. It includes Python code for loading the dataset, printing digits as ASCII art, calculating Euclidean distances between images, and predicting labels based on distances. Additionally, it covers SQL basics, including commands for data definition, manipulation, control, and examples of creating and modifying tables.

Author

hajeera.nk

Language

EN