Bookmarks
Accelerate
Accelerate is a language for array-based computations, designed to exploit massive parallelism.
Template Haskell
Intuitively Template Haskell provides new language features that allow us to convert back and forth between concrete syntax, i. e.
Haskell as fast as C: working at a high altitude for low level performance
After the last post about high performance, high level programming, Slava Pestov, of Factor fame, wondered whether it was generally true that “if you want good performance you have to write C…
On Competing with C Using Haskell
Mark Karpov wrote in his article on Migrating text metrics to pure Haskell how he originally did foreign calls out to C for many of the functions in his text metric package, but now ported them to Haskell when he learned that Haskell can give you performance comparable to C.
Performance
Moreover, it's often not clear if two programs which supposedly have the same functionality really do the same thing.
For Beginners
Occasional writings about Haskell.
Parse, don’t validate
The text discusses the importance of parsing over validating in Haskell to prevent errors and enhance code reliability by using strong argument types. Parsing upfront helps maintain consistency and avoids potential issues with partial input processing, demonstrating the benefits of type-driven design in Haskell programming. The text also touches on the subjective nature of programming languages, highlighting differing perceptions of Haskell and the challenges faced by learners in navigating diverse opinions.
An opinionated beginner’s guide to Haskell in mid-2019
This guide is for beginners in Haskell or those transitioning from similar languages, offering advice on learning resources and tools. It emphasizes the importance of writing Haskell code, getting help online, choosing popular platforms, and sticking to the default Prelude. The guide also touches on application architecture, using records, debugging techniques, and the experimental nature of Haskell as both a research and industrial language.
Subcategories
- applications (9)
- compression (9)
- computer_vision (8)
- deep_learning (94)
- ethics (2)
- generative_models (25)
- interpretability (17)
- natural_language_processing (24)
- optimization (7)
- recommendation (2)
- reinforcement_learning (11)
- supervised_learning (1)