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Distributed Functions with Jonathan Magen

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Manage episode 429493142 series 3305580
Content provided by Richard Feldman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Richard Feldman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Richard talks with distributed systems scientist Jonathen Magen about functional programming in distributed systems, including languages like Gleam, Elixir, Ballerina, and Jolie. They also talk about type inference, big data, and a few other topics.


Jonathan Magen: https://yonkeltron.com or https://jawns.club/@yonkeltron


Programming languages mentioned:

https://ballerina.io

https://www.jolie-lang.org

https://gleam.run

https://elixir-lang.org


Richard's talk: Why Static Typing Came Back - https://youtu.be/Tml94je2edk


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

105 episodes

Artwork
iconShare
 
Manage episode 429493142 series 3305580
Content provided by Richard Feldman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Richard Feldman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Richard talks with distributed systems scientist Jonathen Magen about functional programming in distributed systems, including languages like Gleam, Elixir, Ballerina, and Jolie. They also talk about type inference, big data, and a few other topics.


Jonathan Magen: https://yonkeltron.com or https://jawns.club/@yonkeltron


Programming languages mentioned:

https://ballerina.io

https://www.jolie-lang.org

https://gleam.run

https://elixir-lang.org


Richard's talk: Why Static Typing Came Back - https://youtu.be/Tml94je2edk


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

105 episodes

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