A computer with an internet connection.If your objective is to generate a dynamic map, you probably have to go for the Maps JavaScript API where you can display a map on web page and make it interactive, but still you may find these Python APIs would be more efficient in processing your raw data rather than doing it in JavaScript code. For example, to cleanse the dirty address for a large set of data, or to calculate the distance/travelling time or get the optimal routes between multiple locations. In this article, we have reviewed through a few Google Maps APIs which hopefully will help you for any feasibility study or even in your real projects. The output would be similar to below which makes more sense for driving: We are extracting all the location points from the directions function and pass them to the path parameter to draw the connection lines. + r for i, r in enumerate(marker_points)] You will also need to install the GoogleMapspackage in your working environment, below is the pip command to install the package: You can follow the official docs to set up a new project, and from where you would get an API key for using its services. If you are a new signed up user, you would get $300 credit for you to try out all the various Google APIs. To be able to use Google Maps APIs, you will need to create a Google Cloud Service account and set up a billing method. In this article, we will be exploring how all these can be achieved with Python Google Maps APIs. If you have been thrown with a big set of location data where you need check and validate them from a map, and then find the optimal routes, you probably would think how this can be done programmatically in Python. You probably use Google Maps a lot in your daily life, such as locate a popular restaurant, check the distance between one place to another, or find the nearest driving route and shortest travelling time etc.

Create a map in google maps