How to use Python with Apache Kafka

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Dave has been an active member of the Kafka community for many years and noticed that there were a lot of Kafka resources for Java but few for Python. So he decided to create a course to help people get started using Python and Kafka together.

Historically, Java has had the most documentation, and people have often missed how good the Python support is for Kafka users. Python and Kafka are an ideal fit for machine learning applications and data engineering in general. Yet there are a lot of use cases for building, streaming, and machine learning pipelines. In fact, someone conducted a survey to find out what languages were most popular in the Kafka community and Python came in second after Java. That’s how Dave got the idea to create a course for newbies.

In this course, Dave combines video lectures with code-heavy exercises to give developers a taste of what the code looks like, how to structure it, a preview of the shape of the code, and the structure of the classes and the functions so you can get hands-on practice using the library. He also covers building a producer and a consumer and using the admin client. And, of course, there is a module that covers working with the schemas supported by the Kafka library.

EPISODE LINKS

TIMESTAMPS
0:00 - Intro
1:09 - What are the Python clients for Apache Kafka?
3:11 - What are the use cases for using Python with Kafka?
4:59 - What inspired the course on Python for Kafka?
7:05 - Librd Kafka wrapper vs. native client
10:37 - Tips for getting starting in Python with Kafka
13:06 - What should you know about types, type checking, schemas, and validation of type schemas?
17:19 - When would you use the AdminClient in Python?
20:35 - Are there options similar to Kafka Streams for Python?
23:49 - What was it like creating the course?
26:48 - What is the structure of the course?
30:19 - It's a wrap!

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