This tutorial was originally contributed by Justin Johnson. We will use the Python programming language for all assignments in this course. Python is a great general-purpose programming language on ...

# Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing.

Fortunately, the NumPy and SciPy modules are a popular and effective way to greatly improve the performance of Python for numerical computing. In this course you will learn to use the basics of the ...

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

Pandas vs NumPy: Choosing the Best Python Tool for Data Science Python, being one of the most dynamic landscape in data science, has become a force to be reckoned with, with its uniform set of ...

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.