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Yehonathan Sharvit

Author of Data-Oriented programming

Best podcasts with Yehonathan Sharvit

Ranked by the Snipd community
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39 snips
Jan 14, 2023 • 57min

The principles of data-oriented programming (Interview)

Jerod is joined by Yehonathan Sharvit, author of Data-Oriented Programming, to discuss the virtues of treating data as a first-class citizen in our applications and the four principles that make it possible. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Square – Develop on the platform that sellers trust. There is a massive opportunity for developers to support Square sellers by building apps for today’s business needs. Learn more at changelog.com/square to dive into the docs, APIs, SDKs and to create your Square Developer account — tell them Changelog sent you. Sentry – Working code means happy customers. That’s exactly why teams choose Sentry. From error tracking to performance monitoring, Sentry helps teams see what actually matters, resolve problems quicker, and learn continuously about their applications - from the frontend to the backend. Use the code CHANGELOG and get the team plan free for three months. Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Yehonathan Sharvit – Website, GitHub, XJerod Santo – GitHub, LinkedIn, Mastodon, XShow Notes: 📘 Data-Oriented Programming Principles of Data-Oriented Programming The history of DOP Something missing or broken? PRs welcome!
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6 snips
Dec 29, 2023 • 40min

Data-Oriented Programming • Yehonathan Sharvit & James Lewis

Yehonathan Sharvit, author of Data-Oriented programming, discusses with James Lewis the revolutionary concept of data-oriented programming, its benefits in reducing software complexity, and its flexibility across multiple programming languages. They explore topics such as handling large amounts of data, evolving interfaces, the advantages of immutability in managing changes, and breaking big problems into smaller ones for enhanced code readability and maintainability.