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The latest news, posts, and talks from the Arrow community

Advanced FP for the Enterprise Bee: Kleisli

Advanced FP for the Enterprise Bee: Kleisli

about 5 years ago

This fourth post in a series introduces advanced FP concepts via Kotlin and Arrow. This article looks at the Kleisli type.

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Advanced FP for the Enterprise Bee: Higher Kinded Types

Advanced FP for the Enterprise Bee: Higher Kinded Types

about 5 years ago

This third post in a series introduces advanced FP concepts via Kotlin and Arrow. This article shows the usefulness of Higher Kinded Types.

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FP concepts with Arrow

FP concepts with Arrow

about 5 years ago

A video from the Belfast Kotlin User Group with a presentation by Katie Levy and Shelby Cohen covering FP concepts with Arrow.

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Advanced FP for the Enterprise Bee: Applicatives

Advanced FP for the Enterprise Bee: Applicatives

about 5 years ago

This second post in a series introduces advanced FP concepts via Kotlin and Arrow. This article takes a deep dive into Applicatives.

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Functional Android

Functional Android

about 5 years ago

In this talk from the January 13th, 2021 Kotlin London User Group meetup, Jorge Castillo shows how to seamlessly integrate the functional programming paradigm with our Android architecture to get the most out of both worlds.

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Advanced FP for the Enterprise Bee: Traverse

Advanced FP for the Enterprise Bee: Traverse

about 5 years ago

This first post in a series introduces advanced FP concepts via Kotlin and Arrow. This article takes a deep dive into the Traverse operation.

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Roll your own Computation blocks in Kotlin

Roll your own Computation blocks in Kotlin

about 5 years ago

Computation blocks empower library authors and users to build ad-hoc operators and DSLs over any data-type getting rid of API complexity and simplifying composition. In this talk, we will learn how we can build Computation blocks over Kotlin suspend functions & the Arrow Continuations library's reset / shift capabilities. We will demonstrate the composition of well known JVM data-types and patterns such as lists, futures, streams, and IOs, where callback chains can be simply replaced by a single

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Fight Complexity with Functional Programming

Fight Complexity with Functional Programming

over 5 years ago

A Metric-driven approach to reduce Cognitive Complexity in a code base, using Functional Programming, demoed hands-on, by solving a complex real-world ubiquitous design challenge - REST API Bulk Request Validation, with an extensible Framework that separates what-to-do (Validations) from how-to-do (Validation Orchestration). Let's do a case study of a successful implementation done by our team in the world's largest SaaS org, Salesforce, using Kotlin and Arrow.

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