If you use jupyter notebook. in particular with deep learing and machine learning. you need some mathematical sign to note in jupyter noteboke.

Then, I recommend you to use latex, which helps you write those signs in jupyter notebook or HTLM page.

The basic way to use latex is $$ as start and end mark like this

$$c = \sqrt{a^2 + b^2}$$
\[c = \sqrt{a^2 + b^2}\]

And another way is %% sign

%%latex
\begin{align}
\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
\nabla \cdot \vec{\mathbf{B}} & = 0
\end{align}

%%latex \begin{align} \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}}
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho
\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}}
\nabla \cdot \vec{\mathbf{B}} & = 0 \end{align}

Reference

Appendix for MathJax: