小山哲央です。アメリカで開催されたSciPy2022に参加してきたので、現地の様子をこのレポートで伝えたいと思います。 SciPyについて SciPy2022は科学技術計算やデータの可視化を専門としたPythonのユーザーや開発者が結集し、知見を共有することを目的とした国際 ...

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 ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...