In this Guide, you will learn how to:
- Apply best practices for sustainability and energy efficiency by using the Rust language.
- Level up to using a more robust language, Rust, with GitHub Copilot.
- Think differently about the false appearance of progress in data science and MLOps projects.
- Continuous improvement is essential for operational efficiency.
- Rust is a performant and energy-efficient language that may be a better choice for MLOps than Python or C/C++ in certain cases.
- GitHub Copilot is a game-changer for Rust development, minimizing the impact of syntax on productivity.
- Rust's modern design and toolchain support multi-core threads, typing, and packaging.
- Rust's performance and cybersecurity safety make it an excellent choice for edge and embedded ML.
- Organizations can benefit from Rust's improved cost profiles, even if starting small.
