Introduction to SymPy Stats: Symbolic Probability in Python

Authors : Chirag Agarwalla, Niraj Kumar, Nishanth P Hegde

Brief summary : SymPy Stats is a module within the SymPy library that enables symbolic probability and statistical computations in Python. It allows users to define random variables, compute probabilities, and perform algebraic analysis on statistical properties like expectation, variance, and independence. With SymPy Stats, you can work with various probability distributions (e.g., normal, exponential, and discrete), compute conditional probabilities, and handle symbolic statistical operations without relying on numerical approximations. It is a powerful tool for theoretical analysis, probabilistic modeling, and symbolic computations in fields like finance, engineering, and machine learning.

00:00 Introduction
00:29 Key Features
01:50 Demonstration
03:19 Conclusion