Sharing an event I came across about building scalable python. I think it's this Thursday.

Name: Python in Production with Astral and fal AI

Description: 
Python dominates the AI/ML ecosystem—from research notebooks to model training to inference backends—but operating Python reliably at production scale remains one of the most critical challenges teams face. Astral is revolutionizing the Python developer experience with lightning-fast tools like Ruff (the Rust-powered linter) and uv (the game-changing package manager), while fal AI has built one of the industry's most performant inference platforms, serving billions of AI predictions with sub-second latency. Join Charlie Marsh, CEO of Astral, and Batuhan Taskaya, VP Engineering at fal AI, diving into the technical decisions and operational patterns that enable Python to power mission-critical AI services at scale.

RSVP Link: https://bvp.zoom.us/webinar/register/WN_GkFIHtpdS2CojdqoKaXuLA#/registration

What will be covered:

• Modern dependency management with uv: solving the reproducibility crisis, managing virtual environments at scale, and accelerating CI/CD pipelines
• Production Python architecture patterns: working around the GIL, async vs threading considerations, and when to reach for Rust extensions
• Performance engineering for AI backends: profiling bottlenecks, optimizing hot paths, and balancing latency vs throughput
• Observability and debugging in production: structured logging, distributed tracing, and catching issues before customers do
• Deployment strategies: containerization best practices, zero-downtime deployments, and managing Python version migrations
• Live demonstrations of uv workflows and fal's production Python stack

Who Should Attend: Engineering leaders, AI/ML engineers, platform teams, and founders building Python-based products—particularly those scaling AI backends and looking to improve developer velocity without sacrificing production reliability.