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.

NumPy arrays have many of the behaviors of conventional Python objects, so it’s tempting to use common Python metaphors for working with them. If we wanted to create a NumPy array with the ...

Dynamic languages, most notably Python, are establishing themselves in the enterprise like never before. CIOs should weigh the benefits and drawbacks of Python carefully--and consider that their ...