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Django's async capabilities have significantly improved, making it a viable option for production use, especially in AI applications where I/O-bound tasks are prevalent.
In this tutorial, you'll learn how to use NumPy by exploring several interesting examples. You'll read data from a file into an array and analyze structured arrays to perform a reconciliation. You'll also learn how to quickly chart an analysis and turn a custom function into a vectorized function.
PyPA’s Trusted Publishers let you upload Python packages directly from your CI pipeline to PyPI.
A streamlined and cost-effective approach that uses Docker and customizable health checks.
Learn how to achieve zero downtime in Django deployments with blue-green strategies and multi-step database migrations to handle backward-incompatible changes effectively.
This quick TIL post talks about five useful pytest options that let you control what tests to run with respect to failing tests.
Что дает использование uv