Python developers working with NumPy or Big Data in general might be interested in Blaze, a Python library created by Continuum Analytics and referred to by Stephen Diehl as "the next generation of NumPy." Blaze expands on NumPy's array structures by utilizing a variety of table and array-like structures and supporting a number of new features. According to Diehl:
...Blaze is designed to handle out-of-core computations on large datasets that exceed the system memory capacity, as well as on distributed and streaming data. Blaze is able to operate on datasets transparently as if they behaved like in-memory NumPy arrays.
We aim to allow analysts and scientists to productively write robust and efficient code, without getting bogged down in the details of how to distribute computation, or worse, how to transport and convert data between databases, formats, proprietary data warehouses, and other silos.