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Awesome GitHub RepositoriesNumerical Interoperability Layers
Interface layers specifically designed to bridge high-level scientific code with low-level compiled numerical routines.
Distinct from Python-C Interfaces: Distinct from general Python-C interfaces: focuses on the performance-critical bridge for numerical data processing rather than general-purpose C extensions.
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Awesome Numerical Interoperability Layers GitHub Repositories
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- scipy/scipy
scipy/scipy
14,474Ver en GitHubSciPy is a scientific computing library for Python that provides a comprehensive collection of mathematical algorithms and numerical tools for research and engineering. It functions as a high-performance numerical analysis framework, bridging high-level Python code with compiled C and Fortran routines to execute complex computations at hardware speeds. The library is built upon array-based data structures that utilize strided memory layouts to enable efficient data manipulation and slicing. By employing vectorized operation dispatch and linking to optimized hardware-specific linear algebra li
Bridges high-level Python code with compiled C and Fortran routines to execute complex computations at hardware speeds.
Pythonalgorithmsclosemberpython
