Francesco Tisiot shares a way to learn about the basics of Apache Kafka using Jupyter notebooks:
One of the best ways to learn a new technology is to try it within an assisted environment that anybody can replicate and get working within few minutes. Notebooks represent an excellence in this field by allowing people to share and use pre-built content which includes written descriptions, media and executable code in a single page.
This blog post aims to teach you the basics of Apache Kafka Producers and Consumers through building an interactive notebook in Python. If you want to browse a full ready-made solution instead, check out our dedicated github repository.
The classic tutorials tend to use a couple command prompts and the built-in producer and consumer shell scripts. I like this approach as a way of being able to review the code and results later as a refresher.