Python Pandas is about to get a performance boost: When the long-awaited version 3.0 of the data analysis library is released, it will come with a faster engine for loading and reading columnar data. PyArrow will take the place of NumPy, the math library Pandas has used thus far. At present, Pandas already supports PyArrow, and has done so at least since version 2 released in April 2023. And in the next version, v3.0, PyArrow will be a required dependency, with pyarrow.string being the default t...