This intermediate-level training teaches you how to manage and query Stardog with Python, a popular language for data science applications. You can access your Stardog knowledge graph using Python and our wrapper library called pystardog. Learn how to create a Python virtualenv and install pystardog, manage the Stardog server with pystardog, and query Stardog. By the end of this training, you’ll be able to demonstrate pystardog in a Jupyter notebook.
More about Stardog APIs:
Stardog provides a rich set of application programmer interfaces, or APIs, to work with the product. All actions seen in Stardog Studio or in the Stardog product command line interface can be viewed as interacting with one of these APIs. As a client server architecture, each of the APIs orchestrates one of the HTTP web services that the Stardog server offers up. In many cases, Stardog stewards open source projects that offer a language specific wrapper to offer language idiomatic constructs to interacting with the HTTP service. While the official API is available in Java, orchestrating the HTTP services and offering a language wrapper is straight forward and afford the opportunity to use language specific facilities to streamline the programming experience.
In this video, we’ll be discussing Python. Like other languages, Stardog publishes this API to be consumed in application development environments that will act as a client to the Stardog server. Other language training is available, and will cover similar topics in the context of that particular programming language.
Please note that language specific training, i.e. how to use a particular programming language, is out of scope for this training. While the training may discuss certain third party libraries, parts of a standard API set available in a language, this training session will focus on the question on how to use the Stardog API and a few considerations to make when developing in a typical development environment.
Meet the trainer
Senior Software Engineer