Tutorial - EuroSciPy 2023

Introduction to numerical optimization

by Janos Gabler & Tim Mensinger

Contents

• Installation
• Slides
• Exercises
• Troubleshooting

Warning Please pull the repo and update your conda environment before the tutorial to make sure that the most recent versions are installed.

Installation

1. Install miniconda

2. Clone the repository

   $ git clone https://github.com/OpenSourceEconomics/euroscipy-estimagic.git
   $ cd euroscipy-estimagic

3. Install and activate the environment

   $ conda env create -f environment.yml
   $ conda activate euroscipy-estimagic

   Note You have to repeat the activation step each time after closing your terminal.

4. Update the environment

   Note This step is only necessary if you have installed the environment a long time ago and want to make sure that you're using the most recent versions.

   $ cd euroscipy-estimagic
   $ conda activate euroscipy-estimagic
   $ conda env update -f environment.yml
   

   or use a completely fresh install:

   $ cd euroscipy-estimagic
   $ conda deactivate euroscipy-estimagic
   $ conda env remove --name euroscipy-estimagic
   $ conda env create -f environment.yml

Slides

You can download the slides by clicking here, or you can view them directly on GitHub here.

Exercises

You find the exercise notebooks in the folder exercises, and the corresponding solutions in the folder solutions.

Troubleshooting

If you have questions, problems with the installation or any other part of the repository, please open an issue.