pymc — Easy Examples
Bayesian modeling with MCMC/NUTS sampling for posterior inference
Getting started with pymc
Installation and basic usage of pymc.
python
# Install: pip install pymc import pymc # Basic pymc usage print(f"Using pymc") # See documentation for detailed examples
Expected Output
# Expected output shown below # (Run locally with: pymc)
pymc is a third-party package. Bayesian modeling with MCMC/NUTS sampling for posterior inference. Install with: pip install pymc
Common pymc operations
Frequently used features of pymc.
python
# Install: pip install pymc import pymc # Common pymc patterns print(f"pymc version: {pymc.__version__}")
These are the most commonly used features of pymc in everyday development.
Want to try these examples interactively?
Open Easy Playground