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You're reading from  Full Stack Web Development with Remix

Product typeBook
Published inNov 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781801075299
Edition1st Edition
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Author (1)
Andre Landgraf
Andre Landgraf
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Andre Landgraf

Andre is a full stack developer from Germany. He graduated with an MS in Information Systems from the Technical University of Munich and was also awarded an MS in Computer Science from Sofia University in Palo Alto. Andre currently lives in Cupertino, California, and he works as a Software Engineer at LinkedIn. Andre loves learning, writing, and speaking about all things web. In his free time, he tutors aspiring developers and builds for the web.
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Further reading

The Remix documentation outlines the full stack data flow in Remix here: https://remix.run/docs/en/2/discussion/data-flow.

You can find Remix’s documentation about data loading here: https://remix.run/docs/en/2/guides/data-loading.

You can find Remix’s documentation about mutations here: https://remix.run/docs/en/2/guides/data-writes.

The Remix team has created an amazing video series called Remix Singles that goes in depth into how to work with data in Remix. The series starts with a video about data loading, which you can find here: https://www.youtube.com/watch?v=NXqEP_PsPNc.

MDN Web Docs is a great place to learn more about the HTTP protocol: https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP.

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Full Stack Web Development with Remix
Published in: Nov 2023Publisher: PacktISBN-13: 9781801075299

Author (1)

author image
Andre Landgraf

Andre is a full stack developer from Germany. He graduated with an MS in Information Systems from the Technical University of Munich and was also awarded an MS in Computer Science from Sofia University in Palo Alto. Andre currently lives in Cupertino, California, and he works as a Software Engineer at LinkedIn. Andre loves learning, writing, and speaking about all things web. In his free time, he tutors aspiring developers and builds for the web.
Read more about Andre Landgraf