shenker opened a new issue, #38137:
URL: https://github.com/apache/arrow/issues/38137
### Describe the enhancement requested
```python
import random
import array
import numpy as np
import pyarrow as pa
x = array.array("B", [random.randint(0, 255) for i in range(50000)])
```
`%timeit pa.array(x, pa.uint8())`: 2.5 ms ± 64 µs per loop (mean ± std.
dev. of 7 runs, 100 loops each)
`%timeit pa.array(np.asarray(x), pa.uint8())`: 6.79 µs ± 45.4 ns per loop
(mean ± std. dev. of 7 runs, 100,000 loops each)
Converting to a numpy array gives a 350x speedup. `array.array` isn't
commonly used but it is part of the Python standard library, so should probably
be supported by `pa.array`.
### Component(s)
Python
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