Today we'll look into static and dynamic systems. We'll discuss what does it mean for a programming language or a framework to be static or dynamic.
In the second part of the podcast, we'll focus on some of the properties of static systems and how they can help in better compile-time optimizations, development experience, and more!
Jan 2025
Episode 23 - Building a minimal reactive framework
This episode explores building a minimal reactive framework using signals as a reactivity primitive. We'll look into implementing a simple component model, composing components, separating the view into static and dynamic parts, and implementing fine-grained reactivity.
17m 54s
Jul 2020
Episode 21 - Maps, Hash Maps, Tree Maps, and Hash Tables
Today in less than 20 minutes, we'll explore what maps are and how they work under the hood. We'll talk about the differences between treemaps, hash maps, and hash tables. We'll dig pretty in-depth...By the end of the episode, you'll understand how to implement hash tables using ... Show More
16m 30s
Jul 2020
Nora Jones on Resilience Engineering, Mental Models, and Learning from Incidents
In this podcast, Nora Jones, Co-Founder and CEO at Jeli and co-author of O’Reilly’s “Chaos Engineering: System Resiliency in Practice”, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: chaos engineering and resilience engineering, planning and running ... Show More
36 m
Jul 2017
067: Latest Developments in the Field of AI and How it is Changing the World
In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Al ... Show More
38m 57s