Presentation: Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services

Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compi

Related Stories

📰

Kubernetes v1.37: Introducing Node Lifecycle Conditions

Google is a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Assistants

Enterprise-grade PostgreSQL with AlloyDB Omni RPM Orchestrator is generally available

Meta's Recipe for Building Agents as "Organizational Second Brains"