EA - Announcing Squigglepy, a Python package for Squiggle by Peter Wildeford

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Announcing Squigglepy, a Python package for Squiggle, published by Peter Wildeford on October 19, 2022 on The Effective Altruism Forum. Squiggle is a "simple programming language for intuitive probabilistic estimation". It serves as its own standalone programming language with its own syntax, but it is implemented in JavaScript. I like the features of Squiggle and intend to use it frequently, but I also frequently want to use similar functionalities in Python, especially alongside other Python statistical programming packages like Numpy, Pandas, and Matplotlib. The squigglepy package here implements many Squiggle-like functionalities in Python. The package also has useful utility functions for Bayesian networks (using rejection sampling), pooling forecasts (via weighted geometric mean of odds and others), laplace (including the time-invariant version), and kelly betting. The package and documentation are available on GitHub. The package can be downloaded from Pypi using pip install squigglepy. This package is unofficial and supported by myself and Rethink Priorities. It is not affiliated with or associated with the Quantified Uncertainty Research Institute, which maintains the Squiggle language (in JavaScript). This package is also new and not yet in a stable production version, so you may encounter bugs and other errors. Please report those so they can be fixed. It's also possible that future versions of the package may introduce breaking changes. This package is available under an MIT license. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.