PyXL: A Chip That Runs Python at Turbo Speeds - Ron Livne
Python is powerful but slow - held back by interpreter overhead and dynamic typing. What if it ran natively on hardware? I built PyXL, a custom processor designed to accelerate Python execution in silicon, eliminating its biggest performance bottlenecks. PyXL achieves massive efficiency gains per cycle, even significantly surpassing high-end CPUs like the M1 Pro! Come see how Python can break free from its speed limits without rewriting a single line of code.

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The chaotic locals() and how we fixed it - Tian Gao

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What's New in the Linux Kernel... from Python - Geoffrey Thomas

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CSC372 Group Project - Joshua Carlson & Mustafa Abushwareb

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Using Rust in Free-Threaded vs Regular Python 3.13 - David Hewitt

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Casey Muratori – The Big OOPs: Anatomy of a Thirty-five-year Mistake – BSC 2025

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AI Bubble: How AI's push towards IPOs became a death drive | Ed Zitron

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The insane engineering of Deepseek V4

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Program Your Own Computer in Python - Glyph

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I Hacked This Temu Router. What I Found Should Be Illegal.

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Once You Understand it, You Will Think Everything Else is Silly - Toyota E-CVT

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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

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Why This Genius Race Car Was Banned

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AlphaFold - The Most Useful Thing AI Has Ever Done

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The Insane Genius of a Formula 1 Gearbox

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Programming in Assembly without an Operating System

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Quantum Computing Is a Lie (Here’s What I Discovered)

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Supercharge your Python library using AST parsing - Adam Glustein

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I've used Linux for 12 years, but I never knew these 17 facts

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The Question Nobody Ever Explains: Where Does the Kernel End?

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