Revisiting Mojo: A faster Python?
Briefly

Revisiting Mojo: A faster Python?
"When the Mojo language first appeared, it was promoted as being the best of two worlds, bringing the ease of use and clear syntax of Python, along with the speed and memory safety of Rust. For some time, the only way to evaluate those claims was using an online notebook environment that ran Mojo code on remote servers. More recently, the Mojo compiler has been released as a standalone download for Mac and Linux."
"It has since become clear that Mojo's goal is not to provide inherent compatibility with Python-that is, it isn't meant to be a runtime for existing Python programs. Instead, Mojo aims to provide a syntax that's familiar and comfortable to Python users, but a feature set that's more suited to lower-level programming than Python-for instance, to allow manual memory management in the style of Rust or C++."
Mojo offers a Python-familiar syntax combined with low-level programming features such as manual memory management similar to Rust or C++. Mojo is not designed to be a drop-in runtime for existing Python programs; instead, it prioritizes performance through ahead-of-time compilation to native machine code using the LLVM toolchain. Mojo can interoperate with the Python runtime when ecosystem compatibility is required, but calls into Python incur performance costs. Initial access was via an online notebook on remote servers; a standalone compiler is now available for macOS and Linux, with Windows support via WSL2 as an option.
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