Panthera

Leverages libpython-clj to directly access pandas and numpy, allowing Clojure code to use Python's robust data science libraries with minimal overhead, as demonstrated in the read-csv and median examples.

Integrates pandas operations into Clojure's functional style, enabling clean and expressive data manipulation chains, such as the example with subset-cols and median in the README.

Can be extended to wrap other Python libraries beyond pandas and numpy, shown in the general wrapper example, providing flexibility for future integrations.

Offers vectorized versions of Clojure functions like mod for Python objects, enhancing performance for numerical computations by leveraging numpy's efficiency.