blocks|key|2803347|text|如果您不想每次保存时都输出Python脚本，或者不想重新启动IPython内核：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2803348|在命令行上，可以使用nbconvert|offset|length|style|BOLD|CODE|2803349|$+jupyter+nbconvert+--to+script+[YOUR_NOTEBOOK].ipynb|code-block|syntax|javascript|2803350|作为一个小技巧，您甚至可以通过预先挂起的!+(用于任何命令行参数)在+an+IPython+notebook中调用上面的命令。在笔记本中：|2803351|!jupyter+nbconvert+--to+script+config_template.ipynb|2803352|在--to+script成为added之前，选择是--to+python或--to=python，但在迈向语言不可知的笔记本系统的过程中，选择是renamed。|2803353|entityMap|0|LINK|mutability|MUTABLE|url|http://nbconvert.readthedocs.io/en/stable/usage.html|1|https://github.com/ipython/ipython/commit/b28ec91e43c9ec34f8a09124706189a72be6652d|2|https://github.com/ipython/ipython/commit/b98d516ba65c^0|0|1|3|A|9|A|9|0|0|0|K|1|Z|J|1Q|7|0|0|0|28|1|B|P|B|11|B|E|5|1|20|7|2|0^^$0|@$1|2|3|4|5|6|7|15|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|16|8|@$D|17|E|18|F|G]|$D|19|E|1A|F|H]]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|I|3|J|5|K|7|1E|8|@]|9|@]|A|$L|M]]|$1|N|3|O|5|6|7|1F|8|@$D|1G|E|1H|F|H]|$D|1I|E|1J|F|G]|$D|1K|E|1L|F|G]]|9|@]|A|$]]|$1|P|3|Q|5|K|7|1M|8|@]|9|@]|A|$L|M]]|$1|R|3|S|5|6|7|1N|8|@$D|1O|E|1P|F|G]|$D|1Q|E|1R|F|H]|$D|1S|E|1T|F|H]|$D|1U|E|1V|F|H]]|9|@$D|1W|E|1X|1|1Y]|$D|1Z|E|20|1|21]]|A|$]]|$1|T|3|-4|5|6|7|22|8|@]|9|@]|A|$]]]|U|$V|$5|W|X|Y|A|$Z|10]]|11|$5|W|X|Y|A|$Z|12]]|13|$5|W|X|Y|A|$Z|14]]]]

If you don't want to output a Python script every time you save, or you don't want to restart the IPython kernel:

On the command line, you can use <a href="http://nbconvert.readthedocs.io/en/stable/usage.html" rel="noreferrer"><code>nbconvert</code></a>:

<pre><code>$ jupyter nbconvert --to script [YOUR_NOTEBOOK].ipynb
</code></pre>

As a bit of a hack, you can even call the above command in an IPython notebook by pre-pending <code>!</code> (used for any command line argument). Inside a notebook:

<pre><code>!jupyter nbconvert --to script config_template.ipynb
</code></pre>

Before <code>--to script</code> was <a href="https://github.com/ipython/ipython/commit/b28ec91e43c9ec34f8a09124706189a72be6652d" rel="noreferrer">added</a>, the option was <code>--to python</code> or <code>--to=python</code>, but it was <a href="https://github.com/ipython/ipython/commit/b98d516ba65c" rel="noreferrer">renamed</a> in the move toward a language-agnostic notebook system.

blocks|key|2803389|text|您可以从IPython应用编程接口执行此操作。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2803390|from+IPython.nbformat+import+current+as+nbformat
from+IPython.nbconvert+import+PythonExporter

filepath+=+'path/to/my_notebook.ipynb'
export_path+=+'path/to/my_notebook.py'

with+open(filepath)+as+fh:
++++nb+=+nbformat.reads_json(fh.read())

exporter+=+PythonExporter()

#+source+is+a+tuple+of+python+source+code
#+meta+contains+metadata
source,+meta+=+exporter.from_notebook_node(nb)

with+open(export_path,+'w%2B')+as+fh:
++++fh.writelines(source)|code-block|syntax|javascript|2803391|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|$]]

You can do this from the IPython API.

<pre><code>from IPython.nbformat import current as nbformat
from IPython.nbconvert import PythonExporter

filepath = 'path/to/my_notebook.ipynb'
export_path = 'path/to/my_notebook.py'

with open(filepath) as fh:
 nb = nbformat.reads_json(fh.read())

exporter = PythonExporter()

# source is a tuple of python source code
# meta contains metadata
source, meta = exporter.from_notebook_node(nb)

with open(export_path, 'w+') as fh:
 fh.writelines(source)
</code></pre>

blocks|key|3015812|text|这里有一个快速而粗糙的方法，可以在不使用V3的情况下从V4或ipynb中提取代码。它不检查单元格类型等。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3015813|import+sys,json

f+=+open(sys.argv[1],+'r')+#input.ipynb
j+=+json.load(f)
of+=+open(sys.argv[2],+'w')+#output.py
if+j["nbformat"]+>=4:
++++++++for+i,cell+in+enumerate(j["cells"]):
++++++++++++++++of.write("#cell+"%2Bstr(i)%2B"\n")
++++++++++++++++for+line+in+cell["source"]:
++++++++++++++++++++++++of.write(line)
++++++++++++++++of.write('\n\n')
else:
++++++++for+i,cell+in+enumerate(j["worksheets"][0]["cells"]):
++++++++++++++++of.write("#cell+"%2Bstr(i)%2B"\n")
++++++++++++++++for+line+in+cell["input"]:
++++++++++++++++++++++++of.write(line)
++++++++++++++++of.write('\n\n')

of.close()|code-block|syntax|javascript|3015814|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|$]]

Here is a quick and dirty way to extract the code from V3 or V4 ipynb without using ipython. It does not check cell types, etc.

<pre><code>import sys,json

f = open(sys.argv[1], 'r') #input.ipynb
j = json.load(f)
of = open(sys.argv[2], 'w') #output.py
if j["nbformat"] &gt;=4:
 for i,cell in enumerate(j["cells"]):
 of.write("#cell "+str(i)+"\n")
 for line in cell["source"]:
 of.write(line)
 of.write('\n\n')
else:
 for i,cell in enumerate(j["worksheets"][0]["cells"]):
 of.write("#cell "+str(i)+"\n")
 for line in cell["input"]:
 of.write(line)
 of.write('\n\n')

of.close()
</code></pre>

blocks|key|186429|text|遵循前面的示例，但使用了新的nbformat库版本：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|186430|import+nbformat
from+nbconvert+import+PythonExporter

def+convertNotebook(notebookPath,+modulePath):

++with+open(notebookPath)+as+fh:
++++nb+=+nbformat.reads(fh.read(),+nbformat.NO_CONVERT)

++exporter+=+PythonExporter()
++source,+meta+=+exporter.from_notebook_node(nb)

++with+open(modulePath,+'w%2B')+as+fh:
++++fh.writelines(source.encode('utf-8'))|code-block|syntax|javascript|186431|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|$]]

Following the previous example but with the new nbformat lib version : 

<pre><code>import nbformat
from nbconvert import PythonExporter

def convertNotebook(notebookPath, modulePath):

 with open(notebookPath) as fh:
 nb = nbformat.reads(fh.read(), nbformat.NO_CONVERT)

 exporter = PythonExporter()
 source, meta = exporter.from_notebook_node(nb)

 with open(modulePath, 'w+') as fh:
 fh.writelines(source.encode('utf-8'))
</code></pre>

blocks|key|3015870|text|将当前目录下的所有*.ipynb格式文件递归转换为python脚本：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3015871|for+i+in+*.ipynb+**/*.ipynb;+do+
++++echo+"$i"
++++jupyter+nbconvert++"$i"+"$i"
done|code-block|syntax|javascript|3015872|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|$]]

For converting all *.ipynb format files in current directory to python scripts recursively:

<pre><code>for i in *.ipynb **/*.ipynb; do 
 echo "$i"
 jupyter nbconvert "$i" "$i"
done
</code></pre>

blocks|key|188567|text|如果您想将当前目录下的所有*.ipynb文件转换为python脚本，可以执行如下命令：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|188568|jupyter+nbconvert+--to+script+*.ipynb|code-block|syntax|javascript|188569|entityMap^0|D|7|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

If you want to convert all <code>*.ipynb</code> files from current directory to python script, you can run the command like this:

<pre><code>jupyter nbconvert --to script *.ipynb
</code></pre>

blocks|key|2803528|text|我遇到了这个问题，并试图在网上找到解决方案。虽然我找到了一些解决方案，但它们仍然存在一些问题，例如，当您从仪表板启动新笔记本时，会自动创建恼人的Untitled.txt。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2803529|所以最终我写了my+own+solution|2803530|import+io
import+os
import+re
from+nbconvert.exporters.script+import+ScriptExporter
from+notebook.utils+import+to_api_path


def+script_post_save(model,+os_path,+contents_manager,+**kwargs):
++++"""Save+a+copy+of+notebook+to+the+corresponding+language+source+script.

++++For+example,+when+you+save+a+`foo.ipynb`+file,+a+corresponding+`foo.py`
++++python+script+will+also+be+saved+in+the+same+directory.

++++However,+existing+config+files+I+found+online+(including+the+one+written+in
++++the+official+documentation),+will+also+create+an+`Untitile.txt`+file+when
++++you+create+a+new+notebook,+even+if+you+have+not+pressed+the+"save"+button.
++++This+is+annoying+because+we+usually+will+rename+the+notebook+with+a+more
++++meaningful+name+later,+and+now+we+have+to+rename+the+generated+script+file,
++++too!

++++Therefore+we+make+a+change+here+to+filter+out+the+newly+created+notebooks
++++by+checking+their+names.+For+a+notebook+which+has+not+been+given+a+name,
++++i.e.,+its+name+is+`Untitled.*`,+the+corresponding+source+script+will+not+be
++++saved.+Note+that+the+behavior+also+applies+even+if+you+manually+save+an
++++"Untitled"+notebook.+The+rationale+is+that+we+usually+do+not+want+to+save
++++scripts+with+the+useless+"Untitled"+names.
++++"""
++++#+only+process+for+notebooks
++++if+model["type"]+!=+"notebook":
++++++++return

++++script_exporter+=+ScriptExporter(parent=contents_manager)
++++base,+__+=+os.path.splitext(os_path)

++++#+do+nothing+if+the+notebook+name+ends+with+`Untitled[0-9]*`
++++regex+=+re.compile(r"Untitled[0-9]*$")
++++if+regex.search(base):
++++++++return

++++script,+resources+=+script_exporter.from_filename(os_path)
++++script_fname+=+base+%2B+resources.get('output_extension',+'.txt')

++++log+=+contents_manager.log
++++log.info("Saving+script+at+/%25s",
+++++++++++++to_api_path(script_fname,+contents_manager.root_dir))

++++with+io.open(script_fname,+"w",+encoding="utf-8")+as+f:
++++++++f.write(script)

c.FileContentsManager.post_save_hook+=+script_post_save|code-block|syntax|javascript|2803531|要使用此脚本，可以将其添加到~/.jupyter/jupyter_notebook_config.py+:)|2803532|请注意，您可能需要重新启动jupyter笔记本/实验室才能正常工作。|2803533|entityMap|0|LINK|mutability|MUTABLE|url|https://gist.github.com/jirenjin/29244faa896ac788357a46338f78b580^0|20|C|0|7|F|0|0|0|E|11|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|6|7|11|8|@]|D|@$9|12|A|13|1|14]]|E|$]]|$1|H|3|I|5|J|7|15|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|16|8|@$9|17|A|18|B|C]]|D|@]|E|$]]|$1|O|3|P|5|6|7|19|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|1A|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X]]]]

I had this problem and tried to find the solution online. Though I found some solutions, they still have some problems, e.g., the annoying <code>Untitled.txt</code> auto-creation when you start a new notebook from the dashboard.
So eventually I wrote <a href="https://gist.github.com/jirenjin/29244faa896ac788357a46338f78b580" rel="nofollow noreferrer">my own solution</a>:
<pre><code>import io
import os
import re
from nbconvert.exporters.script import ScriptExporter
from notebook.utils import to_api_path


def script_post_save(model, os_path, contents_manager, **kwargs):
 &quot;&quot;&quot;Save a copy of notebook to the corresponding language source script.

 For example, when you save a `foo.ipynb` file, a corresponding `foo.py`
 python script will also be saved in the same directory.

 However, existing config files I found online (including the one written in
 the official documentation), will also create an `Untitile.txt` file when
 you create a new notebook, even if you have not pressed the &quot;save&quot; button.
 This is annoying because we usually will rename the notebook with a more
 meaningful name later, and now we have to rename the generated script file,
 too!

 Therefore we make a change here to filter out the newly created notebooks
 by checking their names. For a notebook which has not been given a name,
 i.e., its name is `Untitled.*`, the corresponding source script will not be
 saved. Note that the behavior also applies even if you manually save an
 &quot;Untitled&quot; notebook. The rationale is that we usually do not want to save
 scripts with the useless &quot;Untitled&quot; names.
 &quot;&quot;&quot;
 # only process for notebooks
 if model[&quot;type&quot;] != &quot;notebook&quot;:
 return

 script_exporter = ScriptExporter(parent=contents_manager)
 base, __ = os.path.splitext(os_path)

 # do nothing if the notebook name ends with `Untitled[0-9]*`
 regex = re.compile(r&quot;Untitled[0-9]*$&quot;)
 if regex.search(base):
 return

 script, resources = script_exporter.from_filename(os_path)
 script_fname = base + resources.get('output_extension', '.txt')

 log = contents_manager.log
 log.info(&quot;Saving script at /%s&quot;,
 to_api_path(script_fname, contents_manager.root_dir))

 with io.open(script_fname, &quot;w&quot;, encoding=&quot;utf-8&quot;) as f:
 f.write(script)

c.FileContentsManager.post_save_hook = script_post_save
</code></pre>
To use this script, you can add it to <code>~/.jupyter/jupyter_notebook_config.py</code> :)
Note that you may need to restart the jupyter notebook / lab for it to work.

blocks|key|2803551|text|在你的工具链中有Jupytext来进行这样的转换是很好的。它不仅允许从notebook到脚本的转换，还可以再次从脚本返回到notebook。甚至让笔记本以可执行的形式生产出来。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2803552|jupytext+--to+py+notebook.ipynb+++++++++++++++++#+convert+notebook.ipynb+to+a+.py+file
jupytext+--to+notebook+notebook.py++++++++++++++#+convert+notebook.py+to+an+.ipynb+file+with+no+outputs
jupytext+--to+notebook+--execute+notebook.py++++#+convert+notebook.py+to+an+.ipynb+file+and+run+it+|code-block|syntax|javascript|2803553|entityMap|0|LINK|mutability|MUTABLE|url|https://jupytext.readthedocs.io/en/latest/using-cli.html^0|8|8|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

<a href="https://jupytext.readthedocs.io/en/latest/using-cli.html" rel="noreferrer">Jupytext</a> is nice to have in your toolchain for such conversions. It allows not only conversion from a notebook to a script, but you can go back again from the script to notebook as well. And even have that notebook produced in executed form.
<pre><code>jupytext --to py notebook.ipynb # convert notebook.ipynb to a .py file
jupytext --to notebook notebook.py # convert notebook.py to an .ipynb file with no outputs
jupytext --to notebook --execute notebook.py # convert notebook.py to an .ipynb file and run it 
</code></pre>

blocks|key|2803561|text|有一个非常好的包，叫做nb_dev，它是为在Jupyter+Notebooks中编写Python包而设计的。与nbconvert,类似，它可以将笔记本转换为.py文件，但它更灵活、更强大，因为它有许多很好的附加创作功能，可以帮助您在PyPI上开发测试、文档和注册包。它是由fast.ai团队开发的。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2803562|它有一点学习曲线，但文档很好，总体来说并不困难。|2803563|entityMap|0|LINK|mutability|MUTABLE|url|https://nbdev.fast.ai/^0|1J|A|B|6|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@$9|Q|A|R|B|C]]|D|@$9|S|A|T|1|U]]|E|$]]|$1|F|3|G|5|6|7|V|8|@]|D|@]|E|$]]|$1|H|3|-4|5|6|7|W|8|@]|D|@]|E|$]]]|I|$J|$5|K|L|M|E|$N|O]]]]

There's a very nice package called <a href="https://nbdev.fast.ai" rel="nofollow noreferrer">nb_dev</a> which is designed for authoring Python packages in Jupyter Notebooks. Like <code>nbconvert,</code> it can turn a notebook into a .py file, but it is more flexible and powerful because it has a lot of nice additional authoring features to help you develop tests, documentation, and register packages on PyPI. It was developed by the fast.ai folks. 

It has a bit of a learning curve, but the documentation is good and it is not difficult overall.

blocks|key|2803569|text|下面的示例将一个名为a_notebook.ipynb的Iron+Python+Notebook转换为一个名为a_python_script.py的python脚本，省略了用关键字remove标记的单元格，我手动将其添加到脚本中不希望结束的单元格中，省略了可视化和其他步骤，一旦我处理完notebook，脚本就不需要执行这些步骤。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2803570|import+nbformat+as+nbf
from+nbconvert.exporters+import+PythonExporter
from+nbconvert.preprocessors+import+TagRemovePreprocessor

with+open("a_notebook.ipynb",+'r',+encoding='utf-8')+as+f:
++++the_notebook_nodes+=+nbf.read(f,+as_version+=+4)

trp+=+TagRemovePreprocessor()

trp.remove_cell_tags+=+("remove",)

pexp+=+PythonExporter()

pexp.register_preprocessor(trp,+enabled=+True)

the_python_script,+meta+=+pexp.from_notebook_node(the_notebook_nodes)

with+open("a_python_script.py",+'w',+encoding='utf-8')+as+f:
++++f.writelines(the_python_script)|code-block|syntax|javascript|2803571|entityMap^0|A|G|1I|I|2H|6|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|U|8|@]|D|@]|E|$]]]|L|$]]

The following example turns an Iron Python Notebook called <code>a_notebook.ipynb</code> into a python script called <code>a_python_script.py</code> leaving out the cells tagged with the keyword <code>remove</code>, which I add manually to the cells that I don't want to end up in the script, leaving out visualizations and other steps that once I am done with the notebook I don't need to be executed by the script.
<pre><code>import nbformat as nbf
from nbconvert.exporters import PythonExporter
from nbconvert.preprocessors import TagRemovePreprocessor

with open(&quot;a_notebook.ipynb&quot;, 'r', encoding='utf-8') as f:
 the_notebook_nodes = nbf.read(f, as_version = 4)

trp = TagRemovePreprocessor()

trp.remove_cell_tags = (&quot;remove&quot;,)

pexp = PythonExporter()

pexp.register_preprocessor(trp, enabled= True)

the_python_script, meta = pexp.from_notebook_node(the_notebook_nodes)

with open(&quot;a_python_script.py&quot;, 'w', encoding='utf-8') as f:
 f.writelines(the_python_script)
</code></pre>

blocks|key|2803651|text|我知道这是一个老帖子。我也遇到过同样的问题，我想通过命令行将.pynb文件转换为.py文件。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2803652|我的搜索使我找到了ipynb-py-convert|offset|length|2803653|通过以下步骤，我能够获得.py文件|2803654|ipynb+|2803655|+install+"pip通过命令提示符将ipynb-py-convert"|unordered-list-item|2803656|
|2803657|Go安装到保存ipynb文件的目录|2803658|2803659|输入命令|2803660|2803661|>+ipynb-py-convert+YourFileName.ipynb+YourFilename.py|style|CODE|2803662|例如：。ipynb-py-转换getting-started-with-kaggle-titanic-problem.ipynb+getting-started-with-kaggle-titanic-problem.py|2803663|上面的命令将创建一个名为"YourFileName.py“的python脚本，并且根据我们的示例，它将创建getting-started-with-kaggle-titanic-problem.py文件|2803664|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/ipynb-py-convert/^0|0|9|G|0|0|0|0|0|0|0|0|0|0|0|1H|0|0|1H|1A|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@]|9|@$D|1C|E|1D|1|1E]]|A|$]]|$1|F|3|G|5|6|7|1F|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1G|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|1H|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1I|8|@]|9|@]|A|$]]|$1|O|3|P|5|L|7|1J|8|@]|9|@]|A|$]]|$1|Q|3|N|5|6|7|1K|8|@]|9|@]|A|$]]|$1|R|3|S|5|L|7|1L|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|1M|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|1N|8|@$D|1O|E|1P|W|X]]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|10|3|11|5|6|7|1R|8|@$D|1S|E|1T|W|X]]|9|@]|A|$]]|$1|12|3|-4|5|6|7|1U|8|@]|9|@]|A|$]]]|13|$14|$5|15|16|17|A|$18|19]]]]

I understand this is an old thread. I have faced the same issue and wanted to convert the .pynb file to .py file via command line.
My search took me to <a href="https://pypi.org/project/ipynb-py-convert/" rel="noreferrer">ipynb-py-convert</a>
By following below steps I was able to get .py file
<ol>
<li>Install &quot;pip install ipynb-py-convert&quot;</li>
<li>Go to the directory where the ipynb file is saved via command prompt</li>
<li>Enter the command</li>
</ol>
<code>&gt; ipynb-py-convert YourFileName.ipynb YourFilename.py</code>
Eg:. ipynb-py-convert getting-started-with-kaggle-titanic-problem.ipynb getting-started-with-kaggle-titanic-problem.py
Above command will create a python script with the name &quot;YourFileName.py&quot; and as per our example it will create <code>getting-started-with-kaggle-titanic-problem.py</code> file

blocks|key|186550|text|在我工作的mint+ubuntu系统上，即使jupyter已经安装好了，笔记本也可以工作了，jupyter+nbconvert+--to+script给出了错误no+file/directory，直到我做了一个单独的|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|186551|sudo+apt-get+install+jupyter-nbconvert|code-block|syntax|javascript|186552|然后所有的转换都很顺利。我只是想添加这个，以防任何人遇到同样的错误(对我来说，它很混乱，因为我认为没有文件错误指的是笔记本，它肯定在本地目录中，我花了一段时间才意识到子命令没有安装)。|186553|entityMap^0|1A|T|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@$9|P|A|Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|R|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|S|8|@]|D|@]|E|$]]|$1|M|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|N|$]]

On my mint [ubuntu] system at work, even though jupyter was already installed and notebooks worked, <code>jupyter nbconvert --to script</code> gave the error no file/directory until I did a separate
<pre><code>sudo apt-get install jupyter-nbconvert
</code></pre>
Then all was fine with the conversion. I just wanted to add this in case anyone hits the same error (for me it was confusing as I thought the no file error referred to the notebook, which was definitely there in the local directory, took me a while to realize the subcommand was not installed).

blocks|key|186555|text|%25notebook+foo.ipynb魔术命令会将当前的IPython导出到"foo.ipynb“。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|186556|通过键入%25notebook?获取更多信息|186557|entityMap^0|0|J|0|4|A|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|H|3|-4|5|6|7|P|8|@]|D|@]|E|$]]]|I|$]]

The <code>%notebook foo.ipynb</code> magic command will export the current IPython to &quot;foo.ipynb&quot;.
More info by typing <code>%notebook?</code>

blocks|key|186559|text|使用nbconvert+6.07和jupyter客户端6.1.12：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|186560|将jupyter笔记本转换为python脚本|186561|$+jupyter+nbconvert+mynotebook.ipynb+--to+python|code-block|syntax|javascript|186562|将jupyter+notebook转换为指定输出文件名的python脚本|186563|$+jupyter+nbconvert+mynotebook.ipnb+--to+python+--output+myscript.py|186564|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Q|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Using nbconvert 6.07 and jupyter client 6.1.12:
Convert jupyter notebook to python script
<pre><code>$ jupyter nbconvert mynotebook.ipynb --to python
</code></pre>
Convert jupyter notebook to python script specifying output filename
<pre><code>$ jupyter nbconvert mynotebook.ipnb --to python --output myscript.py
</code></pre>

I'm looking at using the *.ipynb files as the source of truth and programmatically 'compiling' them into .py files for scheduled jobs/tasks. 

The only way I understand to do this is via the GUI. Is there a way to do it via command line?

How do I convert a IPython Notebook into a Python file via commandline?

Python

我正在考虑使用*.ipynb文件作为事实的来源，并以编程方式将它们‘编译’成.py文件，用于计划的作业/任务。据我所知，要做到这一点，唯一的方法是通过GUI。有没有办法通过命令行做到这一点？

问如何通过命令行将IPython笔记本转换为Python文件？
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