Back in 2023, Chris Lattner, creator of LLVM, and his team at Modular unveiled a new language called Mojo. Its syntax resembled Python, but it compiled to machine-native code and offered memory-safety features akin to Rust. It also offered cross-compatibility with existing Python programs, one of many hints that Mojo aimed to capture the math, stats, and machine learning segment of Python developers.
Now in 2026, the first beta version of Mojo 1.0 is out, and with that the shape of the language is far clearer than before. Most crucially: Mojo is not a drop-in replacement for Python. It still features Python-esque syntax and uses many of Python’s concepts, but is unmistakably headed in its own direction. As of 1.0 and beyond, Mojo aims to be a systems language with precise control over memory and strong types, while sporting convenience features inspired by higher-level languages.
Mojo basics
Mojo syntax resembles Python at first glance. The use of indents instead of braces to delineate blocks, common keywords (def for functions, etc.), how control flow is handled (if/else/while/for), exceptions, and type annotations will all be familiar to Python developers.
Where Mojo breaks with Python, and stakes out its own territory, starts with how values are handled in variables. Variables have strong types, either assigned through annotations or inferred automatically from their first assignment. If you set a to equal 1, you cannot set it to "Greetings earthlings" later. (In Python, the objects themselves are strongly typed but the names used to refer to them do not have types.)
