Newest success stories
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
Building a Dependency Graph of Our Python Codebase
Prioritizing cutting-edge speed and supporting the rapid growth of Hudson River Trading’s codebase can have unintended effects that require innovative solutions. For those working on our Python codebase, this means addressing “code tangling,” the coupling of unrelated code through unintuitive import cycles. In this article, George Farcasiu, Noah Kim, Jacob Brugh, and Jiahao Li discuss how they mitigate the cost and time burden of this issue by creating new tools to analyze and untangle dependencies efficiently. Read more
Lincoln Loop: Building a sustainable business inspired by Python’s ethos
Since its founding in 2007, Lincoln Loop has been building sites for their clients with Python and Django. They credit Python's philosophy of practicality and explicitness, along with the rich ecosystem of open-source libraries available on PyPI, as keys to their success. Additionally, the inclusivity, openness, and strong culture of collaboration in the Python community have enabled the agency to find and hire great people who are lifelong learners. Read more
Newest success stories by category
Arts
Business
Lincoln Loop: Building a sustainable business inspired by Python’s ethos
Using Python for commercial cloud backup
Using Python to make unstable APIs reliable
Python for Financial Machine Learning at Union Investment
Python in a classic enterprise setting - hand-rolled microservices for supply chain / ERP
Data Science
How HyperFinity Is Streamlining Its Serverless Architecture with Snowflake's Snowpark for Python
Reimagining data science with Python-based operators in Einblick’s visual canvas
Using Python with Gretel.ai to Generate Synthetic Location Data
Education
Elementary school education: Is it love or just Python?
Using Python to Automate Tedious Tasks
Government
Saving the world with Open Data and Python
Scientific
Why Python Matters for the VR Community
Python for Collaborative Drug Discovery
Python for Scientific Data Visualization
Software Development
Zama Concrete ML: Simplifying Homomorphic Encryption for Python Machine Learning
Building Robust Codebases with Python's Type Annotations
Building a Dependency Graph of Our Python Codebase
Bleeding Edge Dependency Testing Using Python
How We Created a Python Development Framework for Non-Developers
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