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Scientific Python (SciPy)

Definition
AI-generated

SciPy is a Python ecosystem library built on NumPy, offering modules for optimization, integration, interpolation, linear algebra, sparse matrices, and classical statistics (distributions, tests).

Topics
Programming
URL
https://scipy.org/
Related
Numerical Python (NumPy) pandas Python

Why it matters in GWAS

Code paths that rely on SciPy for optimization or sparse linear algebra appear in simulation studies and custom GWAS tooling; version skew between NumPy and SciPy can break binary wheels in older environments.

Example usage

"The power simulation minimized the likelihood surface with scipy.optimize and reported calibrated rejection rates."

Numerical Python (NumPy) pandas Python Saddlepoint Approximation
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Virtanen P, et al. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods.
← SCANPY Score function →

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