In SciPy there are modules whose names don’t start with an underscore, but that should be considered private. To clarify which modules these are, we define below what the public API is …

Here is a step-by-step guide to setting up a project to use SciPy, with uv, a Python package manager. Install uv following, the instructions in the uv documentation.

For global optimization, other choices of objective function, and other advanced features, consider using SciPy’s Global optimization tools or the LMFIT package.

It switches between two implementations depending on the problem definition. It is the most versatile constrained minimization algorithm implemented in SciPy and the most appropriate …

Integration (scipy.integrate) # The scipy.integrate sub-package provides several integration techniques including an ordinary differential equation integrator. An overview of the module is …

Typically, global minimizers efficiently search the parameter space, while using a local minimizer (e.g., minimize) under the hood. SciPy contains a number of good global optimizers. Here, …

To demonstrate this function’s usage we use a signal x supplied with SciPy (see scipy.datasets.electrocardiogram). Let’s find all peaks (local maxima) in x whose amplitude …

SciPy has many functions for performing hypothesis tests that return a test statistic and a p-value, and several of them return confidence intervals and/or other related information.

The user_data is the data contained in the scipy.LowLevelCallable. In the call forms with xx, n is the length of the xx array which contains xx[0] == x and the rest of the items are numbers …

Examples Try it in your browser! Let us consider the problem of minimizing the Rosenbrock function. This function is implemented in rosen in scipy.optimize.