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Newest success stories

Bleeding Edge Dependency Testing Using Python

After pip introduced a dependency resolver in October 2020, we decided to take a more prescriptive approach to dependency pinning for internal projects at Capital One. Specifically, this involved adding both lower and upper pins to any direct dependencies for all packages. However, this decision added a new form of maintenance cost: updating the pins. We needed an automated way to help remediate security vulnerabilities identified in packages and continue to support the latest version of dependencies in a way that scaled. edgetest was a solution to this problem given the number of Python packages our team supported during that time. Read more

How We Created a Python Development Framework for Non-Developers

The framework was designed to be easy to use, even for the most inexperienced users, yet flexible enough to allow developers to build new functionality for reuse and improvement. Read more

Using Python with Gretel.ai to Generate Synthetic Location Data

Generating realistic location data for users for testing or modeling simulations is a hard problem. Current approaches just create random locations inside a box, placing users in waterways or on top of buildings. This inability to make accurate, synthetic location data stifles a lot of innovative projects that require diverse and complex datasets to fuel their work. Read more

Vacation rental marketplace development using Python

When making this vacation rental marketplace we employed Python and its tools to work out complex business logic that involves data analysis and system administration. Read more

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