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.

To keep things simple, let’s start with just two lines of Python code to import the NumPy package for basic scientific computing and create an array of four numbers. The Python code looks like ...

In most modern languages, to import a file, you must either create an instance of the library to use or call a static method directly. Either way, you do something in code to execute anything within ...

import numpy as np np.array ... How NumPy speeds array math in Python. A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.

But if I initialize Python in an different thread and import the module in this thread, numpy crashes when calling import_array(). More precise the crash happens wenn PyImport_ImportModule("numpy.core ...

or add return NULL; after import_array() in wrap_import_array implementation for py3 i googled around the web, with no similar result. wierd. hope this workaround would help someone else. another ...