Bayesian Methods for Hackers
blob/master/Chapter1_Introduction/Ch1_Introduction_PyMC2.ipynbThis article introduces PyMC2, a Python library for probabilistic programming and Bayesian methods.
Get more great content for getting started with python.
blob/master/Chapter1_Introduction/Ch1_Introduction_PyMC2.ipynb
Bayesian methods are a way of analyzing data that allows for uncertainty. Probabilistic programming is a way of coding Bayesian methods. PyMC2 is a Python library that allows users to code probabilistic programming. It is a powerful and flexible tool that can be used to solve a variety of problems. PyMC2 has several features that make it attractive to users. It is easy to use and has a wide range of features. It also has a large and active user base.
PyMC2 is a great tool for Bayesian data analysis. It allows users to quickly code and run Bayesian models. It is easy to use and has a wide range of features. PyMC2 is also supported by a large and active user base. This makes it easy to find help and support when needed.
PyMC2 is a great tool for Bayesian data analysis. It is easy to use and has a wide range of features. It allows users to quickly code and run Bayesian models. It also has a large and active user base, making it easy to find help and support when needed.
Overall, PyMC2 is a great tool for Bayesian data analysis. It is easy to use and has a wide range of features. It allows users to quickly code and run Bayesian models and is supported by a large and active user base. This makes it a great choice for anyone looking to use probabilistic programming.
Check out the full post at github.com.