My solution to the exercises in the book named after the repo name
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1-g-h-filter.py
2-discrete-bayes.py
README.md

README.md

Kalman-and-Bayesian-Filters-in-Python-Exercise

Dependencies

To run the code it requires all the dependencies listed in Kalman-and-Bayesian-Filters-in-Python. Some of the dependencies are bundled with the book itself.

Motive

Nobody wants to write code in the browser. PyCharm and Atom + hydrogen are the alternatives. PyCharm need virtual environments to work with Jupyter notebook and as of 3/25/2018 filterpy doesn't play well with virtual environments, at least it's the case on Windows. That leaves Atom + Hydrogen. The combination allows you to write Jupyter style code in .py file, while you can enjoy the interactiveness that Jupyter notebook has. That's good because for code exercises I don't need too much text.