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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
This proposal includes the "objects" feature from OEP8. Note: the object() and has_key() functions have already been added to the development snapshot, but are still shown here. The idea is to add a ...
Astronomers have spotted something strange and spectacular: a mysterious object that keeps emitting pulses every 44 minutes. In a press release from Australia’s Curtin University, which was part of ...
You often have to make quick judgments about the number of objects you encounter in the world. You might see a group of people walking toward you. It is useful to know whether there are roughly five, ...
Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
Defining a list in Python is easy—just use the bracket syntax to indicate items in a list, like this: list_of_ints = [1, 2, 3] Items in a list do not have to all be the same type; they can be any ...
Abstract: We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main ...
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