Since, I was not able to use all the latex commands in Code even after using the %%latex keyword or the $..$ limiter, I installed the nbextensions through which I could use the latex commands in Markdown. After following the instructions here: https://github.com/ipython-contrib/IPython-notebook-extensions/blob/master/README.md and then restarting the Jupyter and then localhost:8888/nbextensions and then activating "Latex Environment for Jupyter", I could run many Latex commands. Examples are here: https://rawgit.com/jfbercher/latex_envs/master/doc/latex_env_doc.html

\section{First section}
\textbf{Hello}
$
\begin{equation} 
c = \sqrt{a^2 + b^2}
\end{equation}
$
\begin{itemize}
\item First item
\item Second item
\end{itemize}
\textbf{World}

如你所见，我仍然无法使用uspackage。但也许将来会有所改进。

有一天我在使用colab时遇到了这个问题。我发现最省事的方法就是在打印之前运行这段代码。那么，一切都很有魅力。

from IPython.display import Math, HTML

def load_mathjax_in_cell_output():
  display(HTML("<script src='https://www.gstatic.com/external_hosted/"
               "mathjax/latest/MathJax.js?config=default'></script>"))
get_ipython().events.register('pre_run_cell', load_mathjax_in_cell_output)
import sympy as sp
sp.init_printing()

结果如下所示:

这是当您想要控制文档序言时的另一种解决方案。编写整个文档，将其发送到system latex，将pdf转换为png，使用IPython。显示加载和显示。

import tempfile
import os.path
import subprocess
from IPython.display import Image, display

with tempfile.TemporaryDirectory(prefix="texinpy_") as tmpdir:
    path = os.path.join(tmpdir, "document.tex")
    with open(path, 'w') as fp:
        fp.write(r"""
        \documentclass[12pt]{standalone}
        \begin{document}
        \LaTeX{}
        \end{document}
        """)
    subprocess.run(["lualatex", path], cwd=tmpdir)
    subprocess.run(["pdftocairo", "-singlefile", "-transp", "-r", "100", "-png", "document.pdf", "document"], cwd=tmpdir)
    im = Image(filename=os.path.join(tmpdir, "document.png"))
    display(im)

我正在使用Jupyter笔记本电脑。 我必须写

%%latex
$sin(x)/x$

来获得LaTex字体。

您可以选择一个要降价的单元格，然后编写由mathjax解释的latex代码，就像上面提到的应答器之一一样。

另外，iPython笔记本教程的Latex部分很好地解释了这一点。

你可以这样做:

from IPython.display import Latex
Latex(r"""\begin{eqnarray}
\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{eqnarray}""")

或者这样做:

%%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}

更多信息在此链接

如果您的主要目标是做数学运算，那么SymPy提供了一种很好的方法来实现看起来很棒的函数乳胶表达式。