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Title: (Re)-connecting foundational libraries with their communities: Successes, failures, and surprises in building the napari ...

Synthetic Aperture Radar (SAR) is transforming how we observe our planet. It sees through clouds, smoke, and darkness, ...

scipy.interpolate.make_interp_spline: modern 1-D splines Returns a callable BSpline. k=3 is cubic. Extrapolation is a choice.

A session featuring updates and roadmaps from maintainers of core Scientific Python libraries and tools.

scipy.integrate.quad: integrate a Python function Returns integral and error estimate. Singularities need points= or weight=.

Many scientific workflows rely on derivatives of complex models: Fisher forecasts, sensitivity analysis, gradient-based inference, ...

Introducing novel software tools into the classroom is increasingly challenging. Fortunately, the richness of the modern web ...

After 3 years, Pixi is widely adopted in the scientific Python ecosystem. At SciPy 2026, we want to show why. Scientific Python has ...

scipy.linalg.solve: Ax=b with SciPy's solvers Prefer solve over inv. assume_a= when you know structure. scipy.linalg.solve — one ...

Speaker - Michael Zargham SciPy 2026 - www.scipy2026.scipy.org/ Graduate textbooks in applied mathematics are notoriously ...

scipy.optimize.minimize: find a minimum with a method you choose Pass fun, x0, method=. jac= helps. Check success before ...

The breakout AI repo of the week is not a model. It is 163 plain-text skills that just crossed 38600 stars — and skill-equipped ...

Speaker: Bhupendra Raut SciPy 2026 - www.scipy2026.scipy.org/ _Adapt v0.1_ is a real-time, reproducible data-analysis ...

scipy.linalg.lstsq: least squares when A is rectangular Under/over-determined systems. Residuals tell you fit quality.

In 2004, Matthew Brett asked me a provocative question born of frustration with existing fMRI tools: "Why don't we rewrite them in ...

scipy.stats.bootstrap: confidence intervals without a formula Pass data and statistic. method= and confidence_level= matter.

scipy.stats.norm: pdf, cdf, ppf for the Gaussian loc and scale are mean and std. ppf is the inverse cdf. scipy.stats.norm — one API, ...

NumPy gives you fast arrays. SciPy gives you algorithms — the industrial-strength numerical routines that working scientists and ...

scipy.stats.ttest_ind: two-sample t-test without Excel equal_var=False is Welch. p-value is not effect size. scipy.stats.ttest_ind ...

scipy.spatial.ConvexHull: convex envelope of points vertices and simplices. Degenerate inputs raise QhullError. scipy.spatial.