Functional Programming for Beginners

Massiv vs. Accelerate: Two Paths to High-Performance CPU Computing in Haskell

Programmers commonly use languages like Python, or C/C++ for those seeking higher performance, to handle array manipulation with libraries such as NumPy, SciPy, or deep learning frameworks like TensorFlow. Although Haskell is not a mainstream language, some developers favor its functional paradigm and strong typing. Importantly, Haskell offers its own libraries for high-performance array manipulation. This article will introduce two of the most popular Haskell libraries for this purpose, Massiv

Hasktorch: LibTorch Haskell bindings for deep learning using FFI

This blog post will introduce Hasktorch, a Haskell binding for deep learning. We'll explore how Hasktorch leverages Foreign Function Interface (FFI) to integrate with Libtorch. The post will demonstrate this integration with a small example. It aims to clarify the mechanics of using Hasktorch for those interested in functional deep learning.

Hiring for Haskell? Here's What You Need to Know

Discover how to hire skilled Haskell developers or bring in expert Haskell consulting to accelerate your next project.