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Writing production-level Python code involves ensuring that the code is not only functional, but also efficient, maintainable, and easy to understand. To achieve these goals, it is important to follow best practices in Python development, such as using logging and testing to ensure the code is correct and easy to debug.
I have extensive experience in Python, including developing an authentication SDK for WSO2 Identity Server and mentoring an anomaly detection project. In my work, I have implemented standards to ensure that our Python projects meet production-level. I am sharing my key learnings in this article to help other Python developers create stable, readable, and extendable code for production environments.
