Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...

Abstract: In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort ...

Abstract: In recent years, many researchers have investigated optical interconnections as parallel computing. Optical interconnections are attractive due to their high bandwidth and concurrent access ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The prefix sum problem in computer science is a popular programming puzzle used to test the ...

Various modern applications of computer science and machine learning use multidimensional datasets that span a single expansive coordinate system. Two examples are using air measurements over a ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

NumPy or Numeric Python is a powerful library for scientific calculations. It works with ndarray (array object in NumPy) that could be single or multi- dimensional. To perform different calculations ...