Explore PyAutoFit, a powerful open-source probabilistic programming language for automated Bayesian inference, in this 29-minute EuroPython 2021 conference talk. Discover how PyAutoFit simplifies the composition and fitting of probabilistic models using various Bayesian inference libraries, handles model-fitting complexities, and excels in big-data analysis. Learn about its core features, advanced capabilities like multi-level models and automated pipelines, and its application in astronomical research for understanding dark matter. Gain insights into customizing models, analyses, and searches, as well as leveraging database functionalities for large-scale data processing. Suitable for those with basic object-oriented Python programming knowledge, this talk provides a comprehensive introduction to PyAutoFit's potential for diverse data science applications.