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How to use Python with Apache Kafka

https://cnfl.io/podcast-episode-262 | Can you use Apache Kafka® and Python together? What’s the current state of Python support? And what are the best options to get started? In this episode, Dave Klein joins Kris to talk about all things Kafka and Python: the libraries, the tools, and the pros & cons. He also talks about the new course he just launched to support Python programmers entering the event-streaming world. 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. Dave explains that Python opens up a world of opportunity and is ripe for expansion. So if you are ready to dive in, head over to developer.confluent.io to learn more about Dave’s course. EPISODE LINKS ► Blog: Getting Started with Python for Apache Kafka: https://cnfl.io/blog-kafka-for-python... ► Course: Apache Kafka for Python Developers: https://cnfl.io/intro-python-for-kafk... ► Step-by-step guide: Building a Python client application for Kafka: https://cnfl.io/getting-started-pytho... ► Coding in Motion: https://cnfl.io/coding-in-motion-epis... ► Building and Designing Events and Event Streams with Apache Kafka: https://cnfl.io/designing-events-epis... ► Kris Jenkins’ Twitter:   / krisajenkins   ► Streaming Audio Playlist:    • Streaming Audio Podcast | Apache Kafk...   ► Join the Confluent Community: https://cnfl.io/confluent-community-e... ► Learn more with Kafka tutorials, resources, and guides at Confluent Developer: https://cnfl.io/confluent-developer-e... ► Live demo: Intro to Event-Driven Microservices with Confluent: https://cnfl.io/demo-intro-to-event-d... ► Use PODCAST100 to get an additional $100 of free Confluent Cloud usage: https://cnfl.io/try-cloud-episode-262 ► Promo code details: https://cnfl.io/podcast100-details-ep... 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! ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #streamprocessing #apachekafka #kafka #python #microservices #confluent