StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

China’s rapid growth over the past decades positioned it as a major global economic power, but recent developments have raised questions about its trajectory. Slower growth, demographic changes, and ...

pymc-learn is a library for practical probabilistic machine learning in Python. The difference between the two models is that pymc-learn estimates model parameters using Bayesian inference algorithms ...