A simple example of how to use pybind11 with numpy and publish this as a library on PyPI and conda-forge. This C++/Python library creates a std::vector of 16-bit ints, and provides a Python interface ...

NumPy, which stands for Numerical Python, is a foundational package for numerical computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a large ...

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 ...

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 ...

Python, being one of the most dynamic landscape in data science, has become a force to be reckoned with, with its uniform set of libraries that are tailored for data manipulation, analysis and ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...