...community. I’ve learned how to code in Python and implement various code libraries. I also created a set of tuned machine learning models to classify different crime types based on...
...tests for your code. Instead of spending time configuring your test suite, we have set up the pytest framework for you, as well as coverage.py for code coverage, so you...
...and improving the code, rather than managing server infrastructure. Additionally, the cost-effective nature of Cloud Run means that we only pay when the package is in use, providing a cost-saving...
...code, code that contains sensitive information (e.g. fraud detection components) or can pose a security risk if open. Publishing the source code will be a mandatory requirement when the service...
...see all code open sourced, regardless of usefulness to a wider audience or not. The only exceptions are configuration management code, code that contain sensitive information (e.g. fraud detection components)...
...aspects to the code, so effort should be made to code in the open and share as much as possible with the rest of DWP, government community and third parties....
...intend to make the source code for the service available. Doing this earlier rather than later makes it considerably easier. In particular, be aware of separating out configuration from implementation,...
...and has refactored the code base for legibility. The code now is well structured. Test coverage has improved vastly from having no existing tests to around 80% coverage. The team...
...team has completely rebuilt the state machine logic internally, and has refactored the code base for legibility. The code now is well structured. Test coverage has improved vastly from having...
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This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.