PragTob
Careful what data you send or how to tank your performance with Task.async
I ran into an interesting problem recently where simple concurrency on the BEAM via Task.async made my application a lot slower and a lot more memory hungry. This blog post illustrates the issue with a short example, where processing 3 non-trivial actions on a list in parallel is slower than doing it sequentially, and then explains why this happens and what can or can’t be done about it.
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Apparently he decided to live-stream how he’s going to create a semver library.
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Just listening to this now…
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In episode 78 of Thinking Elixir, we talk with Chase Granberry about Logflare. We learn why Chase started the company, what Logflare does...
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The V Programming Language
Simple language for building maintainable programs
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Use WebRTC to build web applications that stream media and data in real time directly from one user to another, all in the browser.
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We’ve talked about his book briefly here but it is quickly becoming obsolete - so he’s decided to create a series of 7 podcasts, the firs...
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Author Spotlight
Mike Riley
@mriley
This month, we turn the spotlight on Mike Riley, author of Portable Python Projects. Mike’s book ...
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Leverage Elixir and the Nx ecosystem to build intelligent applications that solve real-world problems in computer vision, natural languag...
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Explore the power of Ash Framework by modeling and building the domain for a real-world web application.
Rebecca Le @sevenseacat and ...
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Overarching tutorial for Python beginner and intermediate developers that teaches web development with the Flask framework.
Miguel Gr...
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Woke up to this today: Claude Code’s complete source code exposed via npm source map. Not a snippet. All 512,000 lines. 1,900 TypeScript ...
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