Jupyter

Jupyter is an open-source project that provides an interactive computing environment through the notebook interface paradigm pioneered by Mathematica. Originally developed as IPython in 2001 by Fernando Pérez, Jupyter expanded in 2014 to support multiple programming languages — Julia, Python, and R, from which its name derives — and became the de facto standard for literate programming in data science and scientific computing.

Jupyter notebooks are web-based documents that combine executable code, rich text, mathematics, and interactive visualizations. Unlike Mathematica's proprietary notebook format, Jupyter notebooks are stored as JSON documents and can be executed by multiple backends, making them more portable and reproducible across platforms and time.

The project's open-source model has made it the foundation of modern data science education and research, but it has also inherited the notebook paradigm's vulnerabilities: cells can be executed out of order, producing hidden state that undermines reproducibility; and notebooks conflate experimentation with production in ways that produce unmaintainable code. The tension between exploration and engineering remains unresolved. Jupyter represents not a solution to the problems of scientific computing but a particular trade-off: it sacrifices the integrated knowledge base of systems like Mathematica for openness, community, and costlessness.