![]() ![]() On Twitter, Jeremy Howard shared his perspective:Ī Mojo app can be compiled into a small, standalone, fast-starting binary. The community is curious about language development. The environment offers sample notebooks with detailed notes. Mojo does not yet have a downloadable runtime environment, but this allows Mojo to run on any computer with a browser. In order to experience working with Mojo, users can access Modular Playground, a web-based Jupyter Notebook environment with early access. These language features contribute to Mojo's unique characteristics compared to Python. Mojo functions take immutable arguments by default and require explicit typing, as well as local variable declarations. Another distinctive keyword in Mojo is fn, used to define functions. In addition, Mojo uses its struct keyword, distinct from Python's class, to define types with fixed arrangements optimised for native machine speed, much like the C/C++ and Rust equivalents. These restrictions are enforced during compilation, preventing any attempt to mutate immutable references. ![]() For instance, Mojo allows using keywords such as let and var to declare variables, indicating whether they are immutable or mutable. There are completely new and non-existent elements in Python, and those existing Python features with reduced dynamics. Mojo introduces new language features that can be divided into two groups. Python, on the other hand, relies on runtime interpretation. Mojo is compiled into machine code using the LLVM toolchain, providing better performance through the use of Mojo-specific features. It achieves this by using Multi-Level Intermediate Representation (MLIR) to seamlessly scale hardware types without introducing complexity. Mojo shows significant speed improvements, making it 35000x faster than Python (PyPy is 22x faster and Scalar C++ 5000x faster in comparison with Python). Mojo, created by Chris Lattner, offers programmability and extensibility to AI programmers, enabling efficient programming on AI hardware. There are gradual plans to make it available to open-source. Mojo aims for excellence in data science and machine learning, providing a fast alternative to Python. It is at an early stage of development and offers users an online playground to explore its features. Mojo is a newly presented programming language that combines the simplicity of Python with the speed and memory security of Rust.
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