Month: October 2020

Data (de-) serialization is about converting between raw data items and instances of your Python classes, in order to transmit or store data. A typical example is the conversion between a Python object and its JSON string representation. This article discusses the two stand-alone frameworks marshmallow and Pydantic, which handle the conversion as well as … Read more

While Python is a dynamically typed language, it is possible to add type hints to your code. This makes code more readable and allows for static analyzers to check your code for type errors, e.g. during development or in a CI pipeline. This article discusses the advantages and drawbacks of static Python type hints in … Read more