In this episode Michael talks with Vlad Polyakov and Kunal Samant about Post Quantum Cryptography TLS 1.3 support in Azure Front Door.

We also discuss Azure Security news about Azure Application Gateway (WAF and IPv6 support), Azure Functions, Azure Payments HSM v2 and Azure Storage.

https://aka.ms/azsecpod

Why should every Python developer know about the CPython ABI? This week on the show, we speak with Nathan Goldbaum about free-threaded Python and the changes to the Python Application Binary Interface.

Nathan recently joined the CPython core developer team and has been building community support for free-threaded Python. Nathan shares his NumPy background and his work on shipping a new DType in NumPy 2.0. He also discusses his work on PyO3 and leading the effort to support thread-safe Rust extensions for use with the free-threaded build of Python.

This episode is sponsored by PropelAuth.

Topics:

• 00:00:00 – Introduction
• 00:01:51 – The evolution of Free-Threaded Python
• 00:03:42 – Changes to the Application Binary Interface
• 00:05:16 – Improving the garbage collector
• 00:07:04 – Why should developers know about the ABI?
• 00:11:31 – What has changed with ABI?
• 00:19:42 – Sponsor: PropelAuth
• 00:20:18 – Python 3.13 and the updated PyObject
• 00:23:15 – EuroPython talk - What Every Python Developer Should Know About the ABI
• 00:31:13 – How did you get involved with NumPy?
• 00:35:33 – Video Course Spotlight
• 00:37:24 – Working on NumPy conference talk
• 00:42:23 – LLMs, aesthetic taste, and intentional software design
• 00:43:16 – Working on NumPy 2.0, DTypes, and building the String DType
• 00:54:43 – The stages of intentional design
• 00:57:34 – How does it connect to working on the ABI?
• 00:59:11 – Rust, PyO3, and the Spinning Jenny Project
• 01:04:03 – What are you excited about in the world of Python?
• 01:05:23 – What do you want to learn next?
• 01:06:34 – How can people follow your work online?
• 01:06:50 – Thanks and goodbye

Show Links:

• What Every Python Developer Should Know About the CPython ABI - Quansight Labs
• What every Python developer should know about the CPython ABI - Nathan Goldbaum - YouTube
• Python Free-Threading Guide
• Unraveling Community Support For Free-Threaded Python - Lysandros Nikolaou & Nathan Goldbaum - YouTube
• Compatibility Status Tracking - Python Free-Threading Guide
• PEP 779 – Criteria for supported status for free-threaded Python
• PEP 703 – Making the Global Interpreter Lock Optional in CPython
• Memory Management in Python – Real Python
• Nathan Goldbaum - From no CPython C API experience to shipping a new DType in NumPy 2.0 - YouTube
• The yt Project: Home
• yt - PyPI
• The Recurse Center
• Working with Arrays of Strings And Bytes — NumPy v2.6.dev0 Manual
• NEP: add NEP-0058 for bytestringdtype by ngoldbaum · Pull Request #32433 · numpy/numpy
• PyO3: Rust bindings for the Python interpreter
• Quansight Labs - Blog
• Nathan Goldbaum - LinkedIn
• Nathan Goldbaum - ngoldbaum - GitHub

Level up your Python skills with our expert-led courses:

• Speed Up Python With Concurrency
• NumPy Techniques and Practical Examples
• Converting Documents to Markdown With MarkItDown

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About Niddy

Nadab “Niddy” Akhtar is the Managing Partner of Excite Capital, where he develops quantum-inspired decision systems designed to help leaders interpret volatility rather than simply react to it. His work reframes markets as dynamic, evolving systems—using AI, intelligent control, and mathematical ideas associated with quantum mechanics to estimate changing conditions, model possible trajectories, and adapt as new information emerges.

With a background in Wall Street investment banking, mergers and acquisitions, and capital formation, Niddy brings both financial-market experience and systems-level thinking to complex, high-stakes decisions. Beyond markets, he applies the same architecture to energy infrastructure and autonomous-drone applications for commercial and defense use.

Niddy has presented his ideas through TEDx and serves on the Milken Institute’s FinTech Advisory Council. In this conversation, he explores why conventional prediction models often fail in changing environments, what driving a Ferrari on a mountain road can teach us about risk, and why the most effective systems are built not to rely on yesterday’s patterns—but to sense and respond to what is unfolding now.

Today We Talk About

• Startig a bar
• Investment firms
• Taking dirty data and making it intelligent
• Relationship Capital
• Feature Creep… follow the North Star
• Operate on feedback
• Quantum
• Practical Quantum
• Quantum Computing vs. Quantum algorithms
• Entanglement within markets
• Beyond the Rearview Mirror
• World AI

Connect with Niddy

• LinkedIn
• Inastagram
• Website

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