Tutorial

Learn how to reprocess a stream of data with the Quix Streams Python library and Apache Kafka. You'll ingest some GPS telemetry data into a topic and replay the stream to try out different distance calculation methods.

Learn why data compression is vital and how use it with Kafka and kafka-python, focussing on gzip—one of the strongest compression tools that Kafka supports.

Use the Quix Streams Python library to continuously stream email records from a CSV file, get an ML inference for each record, then stream the results back to a new Kafka topic.

Use Python to process time series data and send it to Apache Kafka. You'll use a large sample data set from an online-retailer and send the records in batches with Pandas and the kafka-python library.

How to build a powerful currency alerting pipeline in a few minutes with Quix and CoinAPI.

An in-depth tutorial on how one data scientist created a real-time predictor of bike availability — a use case you can apply to any fleet or mobility solution.

Take a machine learning project using streaming data from idea to production deployment. It takes just 15 minutes with this step-by-step blog and video tutorial.

Python is the primary language for machine learning applications, but it isn’t easily compatible with streaming data — until now. Introducing the Quix SDK made for Python developers.

Start processing real-time data in Python in 10 minutes with Quix. This quick start guide with source code shows how.