Mojo Miji – A Guide to Mojo Programming Language from a Pythonista's Perspective (mojo-lang.com)

Mojo Miji is a practical, Pythonista-focused guide to the Mojo programming language (compatible with Mojo v0.25.6, 2025-09-22) that walks readers from basic syntax through advanced usage, with example programs available on GitHub. Structured in seven parts, it covers onboarding (getting started), core language features (variables, literals and type inference, basic and composite data types, strings, functions, operators, control flow, and error handling), and higher-level constructs like structs (analogous to Python classes), modules and packages. Later chapters focus on advanced Mojo topics, applying Mojo to real problems, extending the language, and include a glossary, practical tips, and traps the author encountered. For the AI/ML community the guide is significant because it acts as a low-friction bridge for Python developers to adopt Mojo’s performance- and systems-oriented features while retaining familiar idioms. Key technical takeaways include explicit coverage of type behavior and inference, composite data structures, error/exception patterns, module packaging, and struct-based design—essential for writing performant, modular code. The “Apply” and “Extend” sections promise hands-on examples and extension patterns useful for ML kernel development or integrating Mojo into Python-centric workflows, while the tips and glossary help avoid common pitfalls during migration.