#537: Datastar: Modern web dev, simplified

#537: Datastar: Modern web dev, simplified

You love building web apps with Python, and HTMX got you excited about the hypermedia approach -- let the server drive the HTML, skip the JavaScript build step, keep things simple. But then you hit that last 10%: You need Alpine.js for interactivity, your state gets out of sync, and suddenly you're juggling two unrelated libraries that weren't designed to work together. What if there was a single 11-kilobyte framework that gave you everything HTMX and Alpine do, and more, with real-time updates, multiplayer collaboration out of the box, and performance so fast you're actually bottlenecked by the monitor's refresh rate? That's Datastar. On this episode, I sit down with its creator Delaney Gillilan, core maintainer Ben Croker, and Datastar convert Chris May to explore how this backend-driven, server-sent-events-first framework is changing the way full-stack developers think about the modern web.

Avsnitt(541)

#510: 10 Polars Tools and Techniques To Level Up Your Data Science

#510: 10 Polars Tools and Techniques To Level Up Your Data Science

Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the ...

18 Juni 20251h 2min

#509: GPU Programming in Pure Python

#509: GPU Programming in Pure Python

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA ...

11 Juni 202557min

#508: Program Your Own Computer with Python

#508: Program Your Own Computer with Python

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR ...

6 Juni 20251h 11min

#507: Agentic AI Workflows with LangGraph

#507: Agentic AI Workflows with LangGraph

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has l...

2 Juni 20251h 3min

#506: ty: Astral's New Type Checker (Formerly Red-Knot)

#506: ty: Astral's New Type Checker (Formerly Red-Knot)

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming u...

19 Maj 20251h 4min

#505: t-strings in Python (PEP 750)

#505: t-strings in Python (PEP 750)

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() w...

13 Maj 20251h 11min

#504: Developer Trends in 2025

#504: Developer Trends in 2025

What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking epi...

5 Maj 20251h 9min

#503: The PyArrow Revolution

#503: The PyArrow Revolution

Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those ...

28 Apr 20251h 8min

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