This type of array consists of a values buffer and a validity buffer. This more closely matches how data is represented in Polars, so it would be good to support. There are two main benefits: Some ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

2. By replacing `np.object` with `object`, you're telling NumPy to use Python's built-in object type for the array's data type, which is perfectly acceptable and the recommended approach moving ...