This repository contains Jupyter Notebook examples for the pyOptimalEstimation library. If you are new to Jupyter Notebooks, pelase check out the official tutorial.

You can try the examples online in your browser without installing any code on binder.

Unless you have pyOptimalEstimation already installed, it is recommended to

1. Install Anaconda. Version 3.6 or higher is recommended.
2. Download or clone this repository, e.g. with the green Clone or download button.
3. Open a terminal and navigate to the folder of this repository
4. Install the conda environment pyoe_examples (so it won't mess with your default Python installation) with
   1. on Linux: conda env create -f environment_linux.yml
   2. on Mac OS X: conda env create -f environment_macosx.yml
5. In the terminal, start the Jupyter server with jupyter notebook and open one of the provided ipynb files.
6. Make sure to change the kernel to pyoe_examples with Kernel > Set_Kernel