There are several Python libraries available that can perform array manipulation like APL. These libraries include NumPy, SciPy, Pandas, xarray, and Dask.

NumPy is a popular library for numerical computing and provides a high-performance multidimensional array object. SciPy is built on top of NumPy and offers a range of scientific computing tools, including linear algebra and optimization algorithms. Pandas is a library that provides data manipulation tools for working with structured data, including time series data. xarray is a library that works with labeled multidimensional arrays, and Dask is a library for parallel computing that can speed up array manipulation on large datasets.
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