Engineering Articles (X)

Today we’re thrilled to announce that MAX Developer Edition is now available in preview for developers worldwide! 🥳🎉. In this developer blog post, we'll take an in-depth look at MAX, its key features and capabilities, and how to use it to deploy your first MAX optimized model. Using code examples we’ll illustrate its benefits, cover key concepts, and share additional resources to continue your MAX journey.

Double underscore (dunder) methods, also known as special methods in Mojo🔥 are used to define how objects behave in specific situations. Mojo🔥 is a member of the Python family and it embraces Python's dunder method syntax and extends it in new ways.

On Valentine’s Day yesterday, I wanted to create something special to celebrate my love for Mojo and Python. My search on the interwebs led me to a nifty little equation that plots a heart. The equation is quite simple and I’ll refer to this as the “heart equation” through the rest of this blog post

Mojo is built on the latest MLIR compiler technology, an evolution of LLVM which Rust lowers to. This enables programmers to write code optimized for different CPU architectures, and use the same ergonomic programming model to compile and run native GPU kernels

Open any introductory programming book and you’ll find several pages dedicated to structured programming concepts, i.e. making use of loops, conditions and functions extensively for better clarity and maintainability for your code. It helps you express your ideas and solutions neatly and elegantly in code. However, these benefits come at a cost: performance overhead. 

Mojo SDK v0.7 is the first big release of Mojo🔥 in 2024, and it’s chock full of new language and standard library feature goodness. In this blog post, I’ll share some of the key highlights from this release with examples, and discuss what they are and when to use them. I’m only going to cover the new features, for a complete list of what’s new, what’s changed, what’s removed, and what’s fixed in this release, be sure to check out the changelog in the Mojo documentation.

Did you catch Fabian's presentation at SINTEF? If you missed out, he'll be doing it again in Oslo, Norway on the 15th of February!By popular request, we're publishing the slides here, and will soon have video to go with it. Make sure to subscribe to our YouTube channel to get the alert!

Strongly typed languages need some mechanism to express generic functions, other languages don't enforce types which means every function is generic. Many languages implement some form of this feature under a variety of different names:

For ModCon 2023 we'll be hosting a competition, where the best projects from around the community will be presented on stage.

Python libraries such as NumPy and Pandas are so popular because they make engineers and data scientists productive. The first time I used NumPy, I was struck, not by its vast array of supported math functions, but by the ease with which I could manipulate arrays and matrices and, in particular, slicing rows, columns, or submatrices from large tabular datasets.