JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
How chunked arrays turned a frozen machine into a finished climate model ...
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Arguably the simplest way to use rust from python – no manual compilation step, setup work or binding code required. rustimport provides a simple CLI, makes sure the compiled extension stays up to ...
Abstract: In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort ...
represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame. manage and manipulate mobility data of various formats (call detail records, GPS data, data from ...
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