5 Python Libraries I Wish I'd Found Sooner | HackerNoon
Briefly

Rich enhances terminal outputs, transforming chaotic print statements into organized displays with features like progress bars and markdown rendering. It facilitates easier debugging. Polars provides faster DataFrame operations than Pandas, ensuring efficient data processing, which is crucial for large datasets. This library decreases runtimes significantly and simplifies data handling. Both Rich and Polars represent developments in Python that could save developers considerable time and frustration, enabling them to harness existing solutions effectively rather than reinventing the wheel.
Polars offers superior DataFrame operations that outperform Pandas in speed and efficiency, making data processing significantly faster without sacrificing functionality.
Rich turns terminal outputs into beautifully formatted displays, elevating the debugging experience from chaotic text to visually understandable formatted information.
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