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Newest success stories

Python on Arm: 2025 Update

Want to know how Python is performing on Arm across Linux, Windows, and the cloud? Our 2025 update highlights the latest JIT improvements, ecosystem milestones like GitHub runners and PyTorch on Windows, and the continued collaboration driving it all forward. Read more

Using Python to build a solution for instant tokenized real estate redemptions

Python programmability on Algorand makes the entire development lifecycle easier and means more affordable and efficient maintenance and upgrades going forward. Read more

Zama Concrete ML: Simplifying Homomorphic Encryption for Python Machine Learning

To simplify the adoption of FHE, which involves a complex and resource-intensive technological stack, Zama developed tools that streamline the integration of FHE into applications. Since Python is the de facto standard for building machine learning (ML) applications, it was an obvious choice to create an open-source FHE library in Python. Read more

Building Robust Codebases with Python's Type Annotations

Maintaining our ever-evolving Python codebase poses an intricate challenge: how do we make updates to reflect the changing rules and regulations of 200+ global markets without compromising access to the systems that our engineers and traders use on a daily basis? While an inner layer of shared business logic enables coherency in our codebase performance, it also means small regulatory changes can impact many systems. In this article, Python Engineer John Lekberg details how we use Python type annotations to minimize the time and risk involved in manual verification. Read more

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