#python

New Zealand and Australia reimburse businesses for vehicles used offroad for business purposes. TomTom’s Snap to Roads API can be incorporated into a Python application that tracks the distance and fuel spent off public roads for businesses looking to claim this rebate.

Learn how to use Python and pip to create an app that can locate restaurants along road trip routes. Plan the perfect travel menu by finding restaurants that align with your ideal meal stop times!

TomTom Traffic Index 2021 contains a wealth of traffic data from around the world. We'll show you how to gain insights using data science tools such as NumPy and Seaborn for visualization. Learn how to apply your Python skills to mine traffic data for broad patterns and hidden gems.

TomTom’s historical traffic data helps data scientists analyze the best route for delivery drivers. Learn how to use the Search API, Routing API, Python, and your favorite data science tools to find start and destination point coordinates, access route information, and visualize the best route.

We’ll show you how to use data from the TomTom Routing API and a little bit of Python to make delivery ETAs more accurate.

Data fuels predictive models. Learn how to access TomTom's historical and real-time traffic data and build it into a predictive model to gain insight into future traffic accidents your company may expect on specific routes and more.

In this tutorial, we’ll make it easy for you to write a brief code project which allows you to specify the size, zoom, and city focus of a map image you wish to generate. Using a simple API call, you can generate a static map image of the location of your choosing straight from the command line, and save the image file for future use.