OOP has been so useful for me

• SQLAlchemy

  123 8,807 9.7 Python

  The Database Toolkit for Python

  

I think introduction of dataclasses, Enums, powerful data validation libraries like Pydantic and Pandera and powerful ORMs like SQLAlchemy have all made OOP in Python exceptionally a powerful style to handle specifically data-related tasks, like the ones OP is mentioning. In my personal workflow, pretty much all of data-related tasks are either solved using approaches I have just mentioned, or with a clever abstract base class to add some specific functionality to treat a piece of data exactly as I would like. I hardly ever use classes when I am coding in R, for example.

• pydantic

  167 18,733 9.8 Python

  Data validation using Python type hints

  

I think introduction of dataclasses, Enums, powerful data validation libraries like Pydantic and Pandera and powerful ORMs like SQLAlchemy have all made OOP in Python exceptionally a powerful style to handle specifically data-related tasks, like the ones OP is mentioning. In my personal workflow, pretty much all of data-related tasks are either solved using approaches I have just mentioned, or with a clever abstract base class to add some specific functionality to treat a piece of data exactly as I would like. I hardly ever use classes when I am coding in R, for example.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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