In this tutorial, Marcus Hellberg shows how to build a full-stack todo app with a Spring Boot Java backend and a React Typescript frontend connected with the new Hilla framework. Create the app with:
npx @hilla/cli init –react todo 0:00 – Intro
0:18 – Creating a Hilla Spring Boot + React project
1:08 – Adding database dependencies
1:50 – Starting the dev server (Spring Boot and Vite)
2:37 – Creating a Todo View
4:32 – Creating the backend data model
6:40 – Creating an Endpoint server API
9:20 – Fetching todos from the server
12:38 – Adding new todos: input and server call
16:57 – Listing todos
18:03 – Updating todos
20:55 – Outro PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=nIWshZR_wtU https://www.youtube.com/watch?v=ssw1ANCV1h8

The outline of the talk goes as follows: -We will make a very brief introduction to pandas, we will talk about its importance, and we will point out some of its shortcomings (as its own creator did half a decade ago (10 minutes)
-We will enumerate some of the current pandas alternatives and classify them (pandas-like vs bespoke, single-node vs distributed) (5 minutes)
-We will do a live demo of how to analyze and manipulate a relatively big dataset using Polars inside Orchest Cloud y and showcase some of its unique capabilities (20 minutes).
-Recommendations and conclusions (5 minutes). After the talk, you will have more information on how some of the modern alternatives to pandas fit into the ecosystem, and will understand why Polars is so exciting and promising. Prior exposure to data manipulation with Python (not necessarily with pandas) will help make the most of the presentation. The talk will build upon this blog post about Polars. PUBLICATION PERMISSIONS:
PyData Organizer provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/@PyDataTV https://www.youtube.com/watch?v=R0Y3LtZuUy8

Over the last few years, Kubernetes has skyrocketed in popularity and is now considered THE cloud operating system. The beauty of Kubernetes is it provides an infrastructure abstraction layer for running software applications and application services that makes complex things easier to use. But is there a next layer beyond Kubernetes that can abstract even more? Yes! Let’s talk about it. This webinar discusses:
– The three computing epochs, pre-Kubernetes, Kubernetes, and post-Kubernetes
– Not just serverless; it’s database-less, broker-less, ops-less, and more PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=FPSJ6MKDWP0 https://www.youtube.com/watch?v=Ztfb2yJ_hks