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adam.chlipala.net | ||
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www.artima.com
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bartoszmilewski.com
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| | | | | This is part 9 of Categories for Programmers. Previously: Functoriality. See the Table of Contents. So far I've been glossing over the meaning of function types. A function type is different from other types. Take Integer, for instance: It's just a set of integers. Bool is a two element set. But a function type a->b... | |
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kuruczgy.com
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| | | | | [AI summary] The article explores the intersection of functional programming and logic through the lens of dependent types. It begins with foundational concepts like type constructors and inductive types, then delves into the Curry-Howard isomorphism, which links programs to mathematical proofs. The discussion covers how types represent propositions, functions as implications, and inductive types as proof strategies. Examples include defining logical relations like less than or equal to and equality, and demonstrating how to prove properties like universal quantification and mathematical identities. The article concludes with an overview of resources for further study in proof assistants like Coq and Idris, emphasizing the practical applications of dependent... | |
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andreabergia.com
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| | | Error handling is a fundamental aspect of programming. Unless you are writing hello world, you will need to handle errors in your code. In this post, I will discuss a bit the most common approaches used by various programming languages. Return error codes This is one of the most ancient strategies - if a function can fail, it can simply return an error code - often a negative number, or null. | ||
