<jupyter_start><jupyter_text>https://towardsdatascience.com/write-markdown-latex-in-the-jupyter-notebook-10985edb91fd \begin{matrix}1 & 2 & 3\\a & b & c\end{matrix} Round brackets:\begin{pmatrix}1 & 2 & 3\\a & b & c\end{pmatrix} Pipes:\begin{vmatrix}1 & 2 & 3\\a & b & c\end{vmatrix} \begin{align}\begin{vmatrix}\cos(\theta) & -\sin(\theta) \\\sin(\theta) & \cos(\theta)\end{vmatrix}\begin{vmatrix} x \\ y \end{vmatrix} = \begin{vmatrix}x \cos(\theta) - y \sin(\theta) \\x \sin(\theta) + y \cos(\theta)\end{vmatrix}\end{align} $$a_{ij}$$<jupyter_code>%%latex

this does not work for me, but supposedly it does.

\documentclass{article}

\usepackage[margin=1in]{geometry}% Just for this example
\setlength{\parindent}{0pt}% Just for this example

\begin{document}

There are a number of horizontal spacing macros for LaTeX:

\begin{tabular}{lp{5cm}}
  \verb|a\,b|                     & a\,b \quad $a\, b$ \\
  \verb|a\thinspace b|            & a\thinspace b \quad $a\thinspace b$ \\
  \verb|a\!b|                     & a\!b \quad $a\!b$ \\
  \verb|a\negthinspace b|         & a\negthinspace b \quad $a\negthinspace b$ \\
  \verb|a\:b|                     & a\:b \quad $a\:b$ \\
  \verb|a\>b|                     & a\>b \quad $a\>b$ \\
  \verb|a\medspace b|             & a\medspace b \quad $a\medspace b$ \\
  \verb|a\negmedspace b|          & a\negmedspace b \quad $a\negmedspace b$ \\
  \verb|a\;b|                     & a\;b \quad $a\;b$ \\
  \verb|a\thickspace b|           & a\thickspace b \quad $a\thickspace b$ \\
  \verb|a\negthickspace b|        & a\negthickspace b \quad $a\negthickspace b$ \\
  \verb|$a\mkern\thinmuskip b$|   & $a\mkern\thinmuskip b$ (similar to \verb|\,|) \\
  \verb|$a\mkern-\thinmuskip b$|  & $a\mkern-\thinmuskip b$ (similar to \verb|\!|) \\
  \verb|$a\mkern\medmuskip b$|    & $a\mkern\medmuskip b$ (similar to \verb|\:| or \verb|\>|) \\
  \verb|$a\mkern-\medmuskip b$|   & $a\mkern-\medmuskip b$ (similar to \verb|\negmedspace|) \\
  \verb|$a\mkern\thickmuskip b$|  & $a\mkern\thickmuskip b$ (similar to \verb|\;|) \\
  \verb|$a\mkern-\thickmuskip b$| & $a\mkern-\thickmuskip b$ (similar to \verb|\negthickspace|) \\
  \verb|a\enspace b|              & a\enspace b \\
  \verb|$a\enspace b$|            & $a\enspace b$ \\
  \verb|a\quad b|                 & a\quad b \\
  \verb|$a\quad b$|               & $a\quad b$ \\
  \verb|a\qquad b|                & a\qquad b \\
  \verb|$a\qquad b$|              & $a\qquad b$ \\
  \verb|a\hskip 1em b|            & a\hskip 1em b \\
  \verb|$a\hskip 1em b$|          & $a\hskip 1em b$ \\
  \verb|a\kern 1pc b|             & a\kern 1pc b \\
  \verb|$a\kern 1pc b$|           & $a\kern 1pc b$ \\
  \verb|$a\mkern 17mu b$|         & $a\mkern 17mu b$ \\
  \verb|a\hspace{35pt}b|          & a\hspace{35pt}b \\
  \verb|$a\hspace{35pt}b$|        & $a\hspace{35pt}b$ \\
  \verb|axyzb|                    & axyzb \\
  \verb|a\hphantom{xyz}b|         & a\hphantom{xyz}b (or just \verb|\phantom|) \\
  \verb|$axyzb$|                  & $axyzb$ \\
  \verb|$a\hphantom{xyz}b$|       & $a\hphantom{xyz}b$ (or just \verb|\phantom|) \\
  \verb|a b|                      & a b \\
  \verb|$a b$|                    & $a b$ \\
  \verb|a\space b|                & a\space b \\
  \verb|$a\space b$|              & $a\space b$ \\
  \verb|a\ b|                     & a\ b \\
  \verb|$a\ b$|                   & $a\ b$ \\
  \verb|a{ }b|                    & a{ }b \\
  \verb|$a{ }b$|                  & $a{ }b$ \\
  \verb|a~b|                      & a~b \\
  \verb|$a~b$|                    & $a~b$ \\
  \verb|a\hfill b|                & a\hfill b \\
  \verb|$a\hfill b$|              & $a\hfill b$
\end{tabular}

\end{document}<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.2071756137038036, 'fraction_numerical': 0.010520636633396278, 'mean_word_length': 1.6353944562899787, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 9, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '471224', 'license': 'MIT', 'n_tokens_mistral': 1604, 'n_tokens_neox': 1478, 'n_words': 291, 'path': 'python/latex_examples.ipynb', 'repo_name': 'rtp-aws/devpost_aws_disaster_recovery', 'size': '3707'}