Congratulations to Fernando Pérez for the shout out from Nature, featuring IPython/Jupyter among the “Ten computer codes that transformed science”, along with Fortran and the fast Fourier Transform. Below is an excerpt from Jeffrey M. Perkel's article:

Like other computational notebooks, IPython Notebook combined code, results, graphics and text in a single document. But unlike other such projects, IPython Notebook was open-source, inviting contributions from a vast developer community. And it supported Python, a popular language for scientists. In 2014, IPython evolved into Project Jupyter, supporting some 100 languages and allowing users to explore data on remote supercomputers as easily as on their own laptops.

“For data scientists, Jupyter has emerged as a de facto standard,” Nature wrote in 2018. At the time, there were 2.5 million Jupyter notebooks on the GitHub code-sharing platform; today, there are nearly 10 million, including the ones that document the 2016 discovery of gravitational waves and the 2019 imaging of a black hole. “That we made a small contribution to those projects is extremely rewarding,” Pérez says.