Motivating Examples — Jupyter Notebook 7.4.7 documentation

The Markdown parser included in the Jupyter Notebook is MathJax-aware. This means that you can freely mix in mathematical expressions using the MathJax subset of Tex and LaTeX. Some examples from the MathJax demos site are reproduced below, as well as the Markdown+TeX source. Motivating Examples# The Lorenz Equations# Source# \begin{align} \dot{x} & = \sigma(y-x) \\ \dot{y} & = \rho x - y - xz \\

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Jupyter上での数式入力のサンプルコード。