blocks|key|261521|text|您可以从.ipynb导出所有代码，并将其保存为.py脚本。然后您可以在您的终端运行脚本。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|261522|​|261523|📷|atomic|261524|261525|希望能帮上忙。|261526|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/5b05a1539e0f2a7cf27cce8930cb8f3c.png|imageAlt^0|4|6|N|3|0|0|0|1|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@$9|X|A|Y|B|C]|$9|Z|A|10|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|11|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|12|8|@]|D|@$9|13|A|14|1|15]]|E|$]]|$1|K|3|G|5|6|7|16|8|@]|D|@]|E|$]]|$1|L|3|M|5|6|7|17|8|@]|D|@]|E|$]]|$1|N|3|-4|5|6|7|18|8|@]|D|@]|E|$]]]|O|$P|$5|Q|R|S|E|$T|U|V|-4]]]]

You can export all your code from <code>.ipynb</code> and save it as a <code>.py</code> script. Then you can run the script in your terminal.

<a href="https://i.stack.imgur.com/c1Dvz.png"><img src="https://i.stack.imgur.com/c1Dvz.png" alt="code export sample"></a>

Hope it helps.

blocks|key|467411|text|在命令行中，您可以使用以下命令将笔记本转换为python：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|467412|jupyter+nbconvert+--to+python+nb.ipynb|code-block|syntax|javascript|467413|https://github.com/jupyter/nbconvert|offset|length|467414|您可能必须安装python+迷雾包：|467415|sudo+pip+install+-U+mistune|467416|entityMap|0|LINK|mutability|MUTABLE|url|1|https://pypi.org/project/mistune^0|0|0|0|10|0|0|E|2|1|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Y|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Z|8|@]|9|@$I|10|J|11|1|12]]|A|$]]|$1|K|3|L|5|6|7|13|8|@]|9|@$I|14|J|15|1|16]]|A|$]]|$1|M|3|N|5|D|7|17|8|@]|9|@]|A|$E|F]]|$1|O|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|H]]|V|$5|R|S|T|A|$U|W]]]]

From the command line you can convert a notebook to python with this command:

<pre><code>jupyter nbconvert --to python nb.ipynb
</code></pre>

<a href="https://github.com/jupyter/nbconvert" rel="noreferrer">https://github.com/jupyter/nbconvert</a>

You may have to install the python <a href="https://pypi.org/project/mistune" rel="noreferrer">mistune</a> package:

<pre><code>sudo pip install -U mistune
</code></pre>

blocks|key|467471|text|nbconvert允许您使用--execute标志运行笔记本：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|467472|jupyter+nbconvert+--execute+<notebook>|code-block|syntax|javascript|467473|如果您想运行一个笔记本并生成一个新的笔记本，可以添加--to+notebook|467474|jupyter+nbconvert+--execute+--to+notebook+<notebook>|467475|或者，如果您想用新的输出替换现有的笔记本：|467476|jupyter+nbconvert+--execute+--to+notebook+--inplace+<notebook>|467477|因为这是一个非常长的命令，所以可以使用别名：|467478|alias+nbx="jupyter+nbconvert+--execute+--to+notebook"
nbx+[--inplace]+<notebook>|467479|entityMap^0|E|9|0|0|Q|D|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@$9|Z|A|10|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|11|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@]|E|$]]|$1|M|3|N|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|16|8|@]|D|@]|E|$]]|$1|Q|3|R|5|H|7|17|8|@]|D|@]|E|$I|J]]|$1|S|3|T|5|6|7|18|8|@]|D|@]|E|$]]|$1|U|3|V|5|H|7|19|8|@]|D|@]|E|$I|J]]|$1|W|3|-4|5|6|7|1A|8|@]|D|@]|E|$]]]|X|$]]

nbconvert allows you to run notebooks with the <code>--execute</code> flag:

<pre><code>jupyter nbconvert --execute &lt;notebook&gt;
</code></pre>

If you want to run a notebook and produce a new notebook, you can add <code>--to notebook</code>:

<pre><code>jupyter nbconvert --execute --to notebook &lt;notebook&gt;
</code></pre>

Or if you want to replace the existing notebook with the new output:

<pre><code>jupyter nbconvert --execute --to notebook --inplace &lt;notebook&gt;
</code></pre>

Since that's a really long command, you can use an alias:

<pre><code>alias nbx="jupyter nbconvert --execute --to notebook"
nbx [--inplace] &lt;notebook&gt;
</code></pre>

blocks|key|2494932|text|更新，引用作者的评论，以提高可见度：|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2494933|作者注：“这个项目是在木星的execute+API之前开始的，它现在是从命令行运行笔记本的推荐方法。|blockquote|2494934|安装runipy库，允许在终端上运行代码。|2494935|pip+install+runipy|code-block|syntax|javascript|2494936|编译代码之后：|2494937|runipy+<YourNotebookName>.ipynb|2494938|你也可以试一试。所有信息都是这里|2494939|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.python.org/pypi/runipy^0|0|I|0|0|0|0|0|0|E|2|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@$9|14|A|15|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|16|8|@]|D|@]|E|$]]|$1|I|3|J|5|6|7|17|8|@]|D|@]|E|$]]|$1|K|3|L|5|M|7|18|8|@]|D|@]|E|$N|O]]|$1|P|3|Q|5|6|7|19|8|@]|D|@]|E|$]]|$1|R|3|S|5|M|7|1A|8|@]|D|@]|E|$N|O]]|$1|T|3|U|5|6|7|1B|8|@]|D|@$9|1C|A|1D|1|1E]]|E|$]]|$1|V|3|-4|5|6|7|1F|8|@]|D|@]|E|$]]]|W|$X|$5|Y|Z|10|E|$11|12]]]]

Update with quoted comment by author for better visibility:

<blockquote>
 Author's note "This project started before Jupyter's execute API, which is now the recommended way to run notebooks from the command-line. Consider runipy deprecated and unmaintained." – Sebastian Palma
</blockquote>

Install runipy library that allows running your code on terminal

<pre><code>pip install runipy
</code></pre>

After just compiler your code:

<pre><code>runipy &lt;YourNotebookName&gt;.ipynb
</code></pre>

You can try cronjob as well. All information is <a href="https://pypi.python.org/pypi/runipy" rel="noreferrer">here</a>

blocks|key|261603|text|对于新版本，而不是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|261604|ipython+nbconvert+--to+python+<YourNotebook>.ipynb|code-block|syntax|javascript|261605|您可以使用ipython的jupyter+instend：|261606|jupyter+nbconvert+--to+python+<YourNotebook>.ipynb|261607|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

For new version instead of:

<pre><code>ipython nbconvert --to python &lt;YourNotebook&gt;.ipynb
</code></pre>

You can use jupyter instend of ipython:

<pre><code>jupyter nbconvert --to python &lt;YourNotebook&gt;.ipynb
</code></pre>

blocks|key|261617|text|在我的例子中，最适合我的命令是：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|261618|jupyter+nbconvert+--execute+--clear-output+<notebook>.ipynb|code-block|syntax|javascript|261619|为什么？此命令不会创建额外的文件(就像.py文件)，而且每次执行笔记本时单元格的输出都会被覆盖。|offset|length|style|CODE|261620|如果你跑：|261621|jupyter+nbconvert+--help|261622|-清除-输出当前文件的清晰输出并保存到位，覆盖现有笔记本。|blockquote|261623|entityMap^0|0|0|J|3|0|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|W|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|X|8|@$I|Y|J|Z|K|L]]|9|@]|A|$]]|$1|M|3|N|5|6|7|10|8|@]|9|@]|A|$]]|$1|O|3|P|5|D|7|11|8|@]|9|@]|A|$E|F]]|$1|Q|3|R|5|S|7|12|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|U|$]]

In my case, the command that best suited me was:

<pre><code>jupyter nbconvert --execute --clear-output &lt;notebook&gt;.ipynb
</code></pre>

Why? This command does not create extra files (just like a <code>.py</code> file) and the output of the cells is overwritten everytime the notebook is executed.

If you run:

<pre><code>jupyter nbconvert --help
</code></pre>

<blockquote>
 --clear-output
 Clear output of current file and save in place, overwriting the existing notebook.
</blockquote>

blocks|key|2495079|text|在终端中运行ipython：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2495080|ipython|code-block|syntax|javascript|2495081|然后定位您的脚本并放置在那里：|2495082|%25run+your_script.ipynb|2495083|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

In your Terminal run ipython: 

<pre><code>ipython
</code></pre>

then locate your script and put there:

<pre><code>%run your_script.ipynb
</code></pre>

blocks|key|2495129|text|您还可以使用boar包在python代码中运行笔记本。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2495130|from+boar.running+import+run_notebook

outputs+=+run_notebook("nb.ipynb")|code-block|syntax|javascript|2495131|如果您更新了您的笔记本，您将不必再次将其转换为python文件。|2495132|有关详细信息，请访问：|2495133|https://github.com/alexandreCameron/boar/blob/master/USAGE.md|2495134|entityMap|0|LINK|mutability|MUTABLE|url^0|6|4|0|0|0|0|0|1P|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@$9|Y|A|Z|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|10|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|11|8|@]|D|@]|E|$]]|$1|M|3|N|5|6|7|12|8|@]|D|@]|E|$]]|$1|O|3|P|5|6|7|13|8|@]|D|@$9|14|A|15|1|16]]|E|$]]|$1|Q|3|-4|5|6|7|17|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|P]]]]

You can also use the <code>boar</code> package to run your notebook within a python code.

<pre class="lang-py prettyprint-override"><code>from boar.running import run_notebook

outputs = run_notebook("nb.ipynb")
</code></pre>

If you update your notebook, you won't have to convert it again to a python file.

<hr>

More information at:

<a href="https://github.com/alexandreCameron/boar/blob/master/USAGE.md" rel="nofollow noreferrer">https://github.com/alexandreCameron/boar/blob/master/USAGE.md</a>

blocks|key|2495146|text|从终点站运行|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2495147|jupyter+nbconvert+--execute+--to+notebook+--inplace+--allow-errors+--ExecutePreprocessor.timeout=-1+my_nb.ipynb|code-block|syntax|javascript|2495148|默认超时时间为30秒。-1取消限制。|2495149|如果希望将输出笔记本保存到新的笔记本中，可以使用标志--output+my_new_nb.ipynb。|offset|length|style|CODE|2495150|entityMap^0|0|0|0|Q|O|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|S|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|T|8|@$K|U|L|V|M|N]]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

From the terminal run
<pre><code>jupyter nbconvert --execute --to notebook --inplace --allow-errors --ExecutePreprocessor.timeout=-1 my_nb.ipynb
</code></pre>
The default timeout is 30 seconds. -1 removes the restriction.
If you wish to save the output notebook to a new notebook you can use the flag <code>--output my_new_nb.ipynb</code>

blocks|key|260637|text|我也遇到了同样的问题，我找到了造纸厂。相对于其他解决方案，您可以在笔记本运行时看到结果。当笔记本花了很长时间时，我发现这个特性很有趣。它非常容易使用：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|260638|pip+install+papermill
papermill+notebook.ipynb+output.ipynb|code-block|syntax|javascript|260639|它还提供了其他方便的选项，如将输出文件保存到亚马逊S3、Google等。有关更多信息，请参见该页面。|260640|entityMap|0|LINK|mutability|MUTABLE|url|https://papermill.readthedocs.io/en/latest/index.html^0|F|3|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@$A|T|B|U|1|V]]|C|$]]|$1|D|3|E|5|F|7|W|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|X|8|@]|9|@]|C|$]]|$1|K|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|L|$M|$5|N|O|P|C|$Q|R]]]]

I had the same problem and I found <a href="https://papermill.readthedocs.io/en/latest/index.html" rel="nofollow noreferrer">papermill</a>. The advantages against the others solutions is that you can see the results while the notebook is running. I find this feature interesting when the notebook takes very long. It is very easy to use:
<pre><code>pip install papermill
papermill notebook.ipynb output.ipynb
</code></pre>
It has also, other handy options as saving the output file to Amazon S3, Google Cloud, etc. See the page for more information.

blocks|key|261716|text|使用ipython|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|261717|ipython+--TerminalIPythonApp.file_to_run=<notebook>.ipynb|code-block|syntax|javascript|261718|通常，我更喜欢这个选项，因为它实际上是自我描述的.如果您喜欢使用较少的字符，请使用：|261719|ipython+-c+"%25run+<notebook>.ipynb"|261720|这基本上就是基托已经建议(不幸的是隐藏了一点)作为一个评论。|261721|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/users/7898913/keto|1|https://stackoverflow.com/questions/35545402/how-to-run-an-ipynb-jupyter-notebook-from-terminal#comment113515332_58774096^0|2|7|0|0|0|0|6|2|0|R|2|1|0^^$0|@$1|2|3|4|5|6|7|10|8|@$9|11|A|12|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|13|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|14|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|16|8|@]|D|@$9|17|A|18|1|19]|$9|1A|A|1B|1|1C]]|E|$]]|$1|Q|3|-4|5|6|7|1D|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X]]|Y|$5|T|U|V|E|$W|Z]]]]

Using ipython:
<pre class="lang-sh prettyprint-override"><code>ipython --TerminalIPythonApp.file_to_run=&lt;notebook&gt;.ipynb
</code></pre>
Normally, I would prefer this option as it is really self-describing. If you prefer to use less characters, use:
<pre class="lang-sh prettyprint-override"><code>ipython -c &quot;%run &lt;notebook&gt;.ipynb&quot;
</code></pre>
which is basically what <a href="https://stackoverflow.com/users/7898913/keto">Keto</a> already suggested (unfortunately a little bit hidden) as a <a href="https://stackoverflow.com/questions/35545402/how-to-run-an-ipynb-jupyter-notebook-from-terminal#comment113515332_58774096">comment</a>.

blocks|key|261729|text|您还可以使用jupytext+https://jupytext.readthedocs.io/en/latest/index.html。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|261730|这让你可以对你的笔记本。因此，对于每个ipynb文件，您也有一个.py文件以及一些注释。可以像往常一样执行.py文件。不过，您可以享受两个世界的好处，只需花费一个额外的文件。|261731|哦，顺便说一句，如果您使用的是版本控制，那么您只能使用一个很好的差异来提交.py文件，而不是使用丑陋的.ipynb差异。|261732|(+.py文件中的语法类似于Databricks笔记本，您熟悉它们.)|261733|entityMap|0|LINK|mutability|MUTABLE|url|https://jupytext.readthedocs.io/en/latest/index.html^0|6|8|F|1G|0|0|J|5|W|3|1H|3|0|11|3|1F|6|0|2|3|0^^$0|@$1|2|3|4|5|6|7|T|8|@$9|U|A|V|B|C]]|D|@$9|W|A|X|1|Y]]|E|$]]|$1|F|3|G|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]|$9|14|A|15|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|16|8|@$9|17|A|18|B|C]|$9|19|A|1A|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1B|8|@$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|L|3|-4|5|6|7|1E|8|@]|D|@]|E|$]]]|M|$N|$5|O|P|Q|E|$R|S]]]]

You can also use <code>jupytext</code> <a href="https://jupytext.readthedocs.io/en/latest/index.html" rel="nofollow noreferrer">https://jupytext.readthedocs.io/en/latest/index.html</a>.
This allows you to pair your notebook. So for each <code>ipynb</code> file you have a <code>.py</code> file as well with some comments. The <code>.py</code> file can be executed as usual.
You can enjoy benefits of two worlds with the cost of one extra file though.
Oh, and by the way if you are using version control you can only commit <code>.py</code> files with a nice diff instead of the ugly <code>.ipynb</code> diffs.
(The syntax in the <code>.py</code> files is similar to Databricks notebooks iy you are familiar with them...)

blocks|key|467758|text|在批处理文件中粘贴下面的内容。使用ipython运行.ipynb文件。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|467759|@echo+on
call+"C:\ProgramData\Anaconda3\Scripts\activate.bat"
ipython+"path\test.ipynb"
pause|code-block|syntax|javascript|467760|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

In a batch file paste the below. Use ipython to run .ipynb files.
<pre><code>@echo on
call &quot;C:\ProgramData\Anaconda3\Scripts\activate.bat&quot;
ipython &quot;path\test.ipynb&quot;
pause
</code></pre>

blocks|key|467844|text|我已经对这个主题做了一些研究，并在下面的4种在命令行中运行木星笔记本的方法上写了一篇文章，总结了我的发现。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|467845|1.使用nbconvert|style|CODE|467846|nbconvert转换软件包已经安装在木星笔记本中。它可以用来执行笔记本电脑。此外，它还具有许多特性：|467847|可以将笔记本输出到PDF或HTML，|unordered-list-item|467848|可以将代码隐藏在输出笔记本中，|467849|即使在单元格中出现错误，也可以执行笔记本。|467850|示例笔记本执行：|467851|jupyter+nbconvert+--execute+--to+notebook+--allow-errors+your-notebook.ipynb+|code-block|syntax|javascript|467852|上面的命令将输出your-notebook.nbconvert.ipynb文件，即使有错误，也会执行所有单元格。|467853|2.使用papermill|467854|造纸厂允许您对笔记本进行参数化。可以将变量定义为参数(带有单元格标记)。|467855|示例命令：|467856|papermill+-p+name+Piotrek+your-notebook.ipynb+output-notebook.ipynb|467857|具有注入参数的示例笔记本：|467858|📷|atomic|467859|​|467860|3.手动下载笔记本作为.py脚本|467861|有一个选项可以手动下载笔记本作为.py脚本：|467862|467863|467864|467865|下载后，您可以将执行权限添加到文件中，并将其作为命令行脚本运行。|467866|4.使用jupytext|467867|jupytext包允许您同步.ipynb文件和.py文件。您不需要手动转换笔记本到脚本。|467868|entityMap|0|LINK|mutability|MUTABLE|url|https://mljar.com/blog/run-jupyter-notebook-command-line/|1|https://github.com/jupyter/nbconvert|2|https://papermill.readthedocs.io/en/latest/|3|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/7b7b94ba3e65ad8ebf0d2554e0e6eab2.png|imageAlt|4|https://developer.qcloudimg.com/http-save/yehe-900000/dacf58d75363b408380434cf5e20570b.png|5|https://github.com/mwouts/jupytext^0|K|H|0|0|4|9|0|0|B|1|0|0|0|0|0|0|8|T|0|4|9|0|0|3|2|0|0|0|0|0|1|3|0|0|B|3|0|G|3|0|0|0|1|4|0|0|0|4|8|0|E|6|N|3|0|8|5|0^^$0|@$1|2|3|4|5|6|7|2D|8|@]|9|@$A|2E|B|2F|1|2G]]|C|$]]|$1|D|3|E|5|6|7|2H|8|@$A|2I|B|2J|F|G]]|9|@]|C|$]]|$1|H|3|I|5|6|7|2K|8|@]|9|@$A|2L|B|2M|1|2N]]|C|$]]|$1|J|3|K|5|L|7|2O|8|@]|9|@]|C|$]]|$1|M|3|N|5|L|7|2P|8|@]|9|@]|C|$]]|$1|O|3|P|5|L|7|2Q|8|@]|9|@]|C|$]]|$1|Q|3|R|5|6|7|2R|8|@]|9|@]|C|$]]|$1|S|3|T|5|U|7|2S|8|@]|9|@]|C|$V|W]]|$1|X|3|Y|5|6|7|2T|8|@$A|2U|B|2V|F|G]]|9|@]|C|$]]|$1|Z|3|10|5|6|7|2W|8|@$A|2X|B|2Y|F|G]]|9|@]|C|$]]|$1|11|3|12|5|6|7|2Z|8|@]|9|@$A|30|B|31|1|32]]|C|$]]|$1|13|3|14|5|6|7|33|8|@]|9|@]|C|$]]|$1|15|3|16|5|U|7|34|8|@]|9|@]|C|$V|W]]|$1|17|3|18|5|6|7|35|8|@]|9|@]|C|$]]|$1|19|3|1A|5|1B|7|36|8|@]|9|@$A|37|B|38|1|39]]|C|$]]|$1|1C|3|1D|5|6|7|3A|8|@]|9|@]|C|$]]|$1|1E|3|1F|5|6|7|3B|8|@$A|3C|B|3D|F|G]]|9|@]|C|$]]|$1|1G|3|1H|5|6|7|3E|8|@$A|3F|B|3G|F|G]]|9|@]|C|$]]|$1|1I|3|1D|5|6|7|3H|8|@]|9|@]|C|$]]|$1|1J|3|1A|5|1B|7|3I|8|@]|9|@$A|3J|B|3K|1|3L]]|C|$]]|$1|1K|3|1D|5|6|7|3M|8|@]|9|@]|C|$]]|$1|1L|3|1M|5|6|7|3N|8|@]|9|@]|C|$]]|$1|1N|3|1O|5|6|7|3O|8|@$A|3P|B|3Q|F|G]]|9|@]|C|$]]|$1|1P|3|1Q|5|6|7|3R|8|@$A|3S|B|3T|F|G]|$A|3U|B|3V|F|G]]|9|@$A|3W|B|3X|1|3Y]]|C|$]]|$1|1R|3|-4|5|6|7|3Z|8|@]|9|@]|C|$]]]|1S|$1T|$5|1U|1V|1W|C|$1X|1Y]]|1Z|$5|1U|1V|1W|C|$1X|20]]|21|$5|1U|1V|1W|C|$1X|22]]|23|$5|24|1V|25|C|$26|27|28|-4]]|29|$5|24|1V|25|C|$26|2A|28|-4]]|2B|$5|1U|1V|1W|C|$1X|2C]]]]

I've made some research on this topic and wrote an article on <a href="https://mljar.com/blog/run-jupyter-notebook-command-line/" rel="nofollow noreferrer">4 ways to run Jupyter Notebook in command line</a> below is summary of my findings.
<h2>1. Use <code>nbconvert</code></h2>
The <a href="https://github.com/jupyter/nbconvert" rel="nofollow noreferrer">nbconvert</a> package is already installed in Jupyter Notebook. It can be used to execute notebook. Additionally it has many features:
<ul>
<li>can export notebook to PDF or HTML,</li>
<li>can hide code in output notebook,</li>
<li>can execute notebook even with errors in cells.</li>
</ul>
Example notebook execution:
<pre class="lang-bash prettyprint-override"><code>jupyter nbconvert --execute --to notebook --allow-errors your-notebook.ipynb 
</code></pre>
The above command will output <code>your-notebook.nbconvert.ipynb</code> file and will execute all cells even with errors.
<h2>2. Use <code>papermill</code></h2>
The <a href="https://papermill.readthedocs.io/en/latest/" rel="nofollow noreferrer">papermill</a> allows you to parametrize notebook. You can define variables as parameters (with cell tags).
Example command:
<pre class="lang-bash prettyprint-override"><code>papermill -p name Piotrek your-notebook.ipynb output-notebook.ipynb
</code></pre>
Example notebook with injected parameters:
<a href="https://i.stack.imgur.com/byWJm.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/byWJm.png" alt="notebook with injected parameters by papermill" /></a>
<h2>3. Manually download notebook as <code>.py</code> script</h2>
There is an option to manually download notebook as <code>.py</code> script:
<a href="https://i.stack.imgur.com/OCmut.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/OCmut.png" alt="download notebook as Python script" /></a>
After download you can add execution rights to the file and run it as a command line script.
<h2>4. Use <code>jupytext</code></h2>
The <a href="https://github.com/mwouts/jupytext" rel="nofollow noreferrer">jupytext</a> package allows you to synchronize <code>.ipynb</code> file with <code>.py</code> file. You don't need to manually convert notebook to script.

I have some code in a .ipynb file and got it to the point where I don't really need the "interactive" feature of IPython Notebook. I would like to just run it straight from a Mac Terminal Command Line.

Basically, if this were just a .py file, I believe I could just do python filename.py from the command line. Is there something similar for a .ipynb file?

How to run an .ipynb Jupyter Notebook from terminal?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我在一个.ipynb文件中有一些代码，并且已经到了不需要IPython笔记本的“交互式”功能的地步。我想直接从Mac终端命令行运行它。基本上，如果这只是一个.py文件，我相信我可以从命令行执行python filename.py。对于.ipynb文件是否有类似的内容？

问如何从终端运行.ipynb木星笔记本？
EN

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问如何从终端运行.ipynb木星笔记本？EN