Playground

About This Repository

This repository offers an opportunity to learn about the fundamental techniques of mathematical optimization and their implementation in Python. Each notebook includes explanations of mathematical optimization concepts along with practical code examples.

How to Run Tutorials Using Binder

1. Click on the following Binder link:
2. Once the repository loads in Binder, a list of Jupyter notebooks within the tutorials directory will be displayed.
3. To start the tutorial, click on any notebook of your choice.
4. Execute the code cells in the notebook to experience the process of mathematical optimization.

Configuration with TOML File

This repository uses a config.toml file for configuration. By default, the code looks for a config.toml file in the same directory. You need to update the token value in the config.toml with your personal token issued for the API.

Example config.toml for monthly use:

[default]
url = "https://api.m.jijzept.com/"
token = "your_personal_token"

Example config.toml for pay-as-you-go user:

[default]
url = "https://api.jijzept.com/"
token = "your_personal_token"

QuickStart

1. Please access quickstart
2. Please Place config.toml in quickstart directory
3. Please run the notebook

Notice

tutorial directory currently contains old-version ones. It will be updated shortly.

Contact

For questions or feedback regarding this tutorial, please submit through GitHub Issues.