Distributed Computing with PySpark Chained Conditions (2nd Wed Talk)

Join us for a hands-on workshop where we’ll break down chained conditions in PySpark — a powerful technique for writing clean, efficient, and flexible filters for complex datasets!

What to Expect:


• Learn how to build and combine conditional filters using PySpark’s expressive syntax
• Explore real-world examples from data cleaning, transformations, and analytics workflows
• Discover best practices for readable and scalable PySpark code
• Receive take-home resources and code templates to reinforce your learning

Whether you’re just getting started with PySpark or looking to level up your data wrangling and transformation skills, this session will give you the tools and confidence to tackle real-world data filtering tasks like a pro.

Also, we're going to have another "after hour." After the presentation is over, anyone who wants to stay and do a bit of coding or chatting is welcome to hang out. Think of it like a mini open workshop.