A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types. But the other big reason NumPy is fast is because it provides ways to work with arrays ...

The loads() function performs the convertion according to this table. The table cleary states that a Json object is converted to a Python Dictionary. Consider the following code. import json from ...

0.0.14 - Roll in a number of fixes from Github contributors, including fixes for oneOf handling, array validation, and Python 3 support. 0.0.13 - Lazily build object classes. Allows low-overhead use ...