µServices and API

Join James in this three-session series about (even more) Python basics for experts. He'll tackle what's real, how we can tell it's real, and how we can do less work.

How do things really work? What’s really going on behind the scenes? How much of this really matters; how much does one really need to know to be effective?

Do you want to explore how to better design and iterate through the designs of your programs? Do you like watching a complex program emerge from a simple, yet methodical sequence of considerations and decisions? If so, join us for this 3-part series!

“SQL: good enough for 1986.Good enough for 2022.”—Let’s bring our SQL knowledge into the modern era!

The "Correctness" seminar series offers an in-depth exploration of Python programming with a strong emphasis on ensuring accuracy and reliability.

In this seminar series, we will share with you some of the hardest problems we have had to solve in pandas and NumPy (and, in our bonus session, hard problems that we have had to solve in Matplotlib!).

The "Investigate the Hype" seminar series offers an in-depth exploration of different software that will help make your code more efficient. We'll dive into Textual, DuckDB, Polars, and Apache Arrow and see if they're really worth all the hype!

Data scientists often need to build dashboards or other web-based interactive tools to present their results and analyses. Even if your organization has a development team, sometimes if you want something done right, you need to do it yourself!

Don't let sluggish code hold you back! Discover how to measure and optimize your code's performance in this seminar series.

Looking to enhance your Python skills? If so, join us for this unique seminar series presented in a “lab-style” format, wherein our experienced instructors will live-code solutions to pre-written problems. In our “Python: How the experts do it!”

Take a bug-hunting journey to identify common pitfalls, edge-cases, and anti-patterns in your code! These mistakes will transcend simple typos and syntax errors, instead pointing to deep conceptual and knowledge gaps when using common tools and libraries.

No CS degree? No problem! No CS knowledge? No worry; join us for "The Computer Science You Never Took in College… (That Actually Matters!)”

Learn how to write better bots with Python! We'll look at several specific, popular industry tools, and also do a deep dive into the core Python mechanics useful not just in writing but also managing the bots we create.