How Mojo Is Synthesising Python and ML Performance in 202...

What this episode covers

Episode 36 of The Programming Languages Podcast examines Mojo, the new language from Modular AI that aims to combine Python's usability with C-like performance for machine learning workloads. Lucas and Luna break down Mojo's unique 'syntactic sugar plus MLIR' approach, why it's not just another Python competitor, and what the 2026 ecosystem looks like — including the just-released Mojo 1.0 standard library. They explore concrete benchmarks (up to 35000x speedup on certain matrix operations), the controversial decision to keep Mojo closed source, and whether it truly threatens Python in data science. The conversation also touches on Mojo's borrow checker (Rust-like memory safety) and how it integrates with existing Python tooling like NumPy and PyTorch. #Mojo #ModularAI #Python #MachineLearning #MLIR #Performance #SystemsProgramming #BorrowChecker #DataScience #AI #Compiler #OpenSource #NumPy #PyTorch #Technology #ProgrammingLanguages #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding?

This episode is 10 minutes long.

When was this The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding episode published?

This episode was published on June 7, 2026.

What is this episode about?

Episode 36 of The Programming Languages Podcast examines Mojo, the new language from Modular AI that aims to combine Python's usability with C-like performance for machine learning workloads. Lucas and Luna break down Mojo's unique 'syntactic sugar...

Can I download this The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding episode?

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