entityMap|blocks|key|7lp85|text|您没有注销并登录吗？它应该在您要执行的路径上。如果没有，pip会在.local中安装可执行文件，因此在终端中：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1b4k5|~/.local/bin/jupyter-notebook|code-block|syntax|javascript|4dd32|应启动notebook^0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|J|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|K|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|L|9|@]|A|@]|B|$]]]]

you did not log out and log in ? It should be on your path to execute. 
If not, pip installed executables in .local, so in a terminal:

<pre><code> ~/.local/bin/jupyter-notebook
</code></pre>

should start notebook

entityMap|blocks|key|24q8v|text|为了能够运行|type|unstyled|depth|inlineStyleRanges|entityRanges|data|8rcbm|在终端中，您需要确保|5sbio|就在你的道路上。|3agnm|要执行此操作，请运行以下命令|18lcu|，或者将该行添加到|605cc|要使您的更改持续到将来的会话中(例如，通过使用|41ci4|)。如果您编辑~/.bashrc，您将需要注销并重新登录，以确保您的更改生效。^0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|O|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|P|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|Q|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|R|9|@]|A|@]|B|$]]|$2|I|4|J|6|7|8|S|9|@]|A|@]|B|$]]|$2|K|4|L|6|7|8|T|9|@]|A|@]|B|$]]|$2|M|4|N|6|7|8|U|9|@]|A|@]|B|$]]]]

To be able to run <code>jupyter notebook</code> from terminal, you need to make sure that <code>~/.local/bin</code> is in your path.

Do this by running <code>export PATH=$PATH:~/.local/bin</code> for your current session, or adding that line to the end of <code>~/.bashrc</code> to make your changes last for future sessions (e.g. by using <code>nano ~/.bashrc</code>). If you edit ~/.bashrc you will need to log out and log back in to make see your changes take effect.

entityMap|blocks|key|cbbjj|text|尝试|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1ah2v|或者，如果您使用pip3安装笔记本电脑：|a7kr5|在Mac+OS+Catalina和brewed+Python3.7上^0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|G|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|H|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|I|9|@]|A|@]|B|$]]]]

Try 

<code>python -m notebook</code>

Or, if you used pip3 to install the notebook:

<code>python3 -m notebook</code>

On Mac OS Catalina and brewed Python3.7

entityMap|blocks|key|cli1o|text|我都试过了，|type|unstyled|depth|inlineStyleRanges|entityRanges|data|9599l|pip+install+jupyter|code-block|syntax|javascript|6ljnq|和|5havd|pip3+install+jupyter|7dg3r|但最终还是用|53ctj|sudo+-H+pip+install+jupyter|40mi3|以另一用户-H身份执行命令|17u7i|-H+(+HOME+)选项请求安全策略将home环境变量设置为密码数据库指定的目标用户(默认情况下为根用户)的主目录。根据策略的不同，这可能是默认行为。^0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|T|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|U|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|V|9|@]|A|@]|B|$]]|$2|J|4|K|6|E|8|W|9|@]|A|@]|B|$F|G]]|$2|L|4|M|6|7|8|X|9|@]|A|@]|B|$]]|$2|N|4|O|6|E|8|Y|9|@]|A|@]|B|$F|G]]|$2|P|4|Q|6|7|8|Z|9|@]|A|@]|B|$]]|$2|R|4|S|6|7|8|10|9|@]|A|@]|B|$]]]]

I tried both,

<pre><code>pip install jupyter
</code></pre>

and

<pre><code>pip3 install jupyter
</code></pre>

but finally got it done using 

<pre><code>sudo -H pip install jupyter
</code></pre>

execute a command as another user -H 

The -H (HOME) option requests that the security policy set the HOME environment variable to the home directory of the target user (root by default) as specified by the password database. Depending on the policy, this may be the default behavior.

entityMap|blocks|key|di1|text|在终端中执行此操作|type|unstyled|depth|inlineStyleRanges|entityRanges|data|f70tt|export+PATH=~/anaconda3/bin:$PATH|code-block|syntax|javascript|37apn|在Ubuntu16.10、Python3、Anaconda3上为我工作|17qoo|更新|9f189|在~/.bashrc或~/.zshrc(如果使用zsh+bash)文件中添加路径|f75cv|vi+~/.bashrc|bakdb|将以下行添加到文件中|anckq|PATH=~/path/to/anaconda:$PATH|9uu89|使用以下命令关闭文件|f3t02|esc+%2B+:+%2B+wq^0|0|0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|X|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|Y|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|Z|9|@]|A|@]|B|$]]|$2|J|4|K|6|7|8|10|9|@]|A|@]|B|$]]|$2|L|4|M|6|7|8|11|9|@]|A|@]|B|$]]|$2|N|4|O|6|E|8|12|9|@]|A|@]|B|$F|G]]|$2|P|4|Q|6|7|8|13|9|@]|A|@]|B|$]]|$2|R|4|S|6|E|8|14|9|@]|A|@]|B|$F|G]]|$2|T|4|U|6|7|8|15|9|@]|A|@]|B|$]]|$2|V|4|W|6|E|8|16|9|@]|A|@]|B|$F|G]]]]

Execute this in Terminal

<pre><code>export PATH=~/anaconda3/bin:$PATH
</code></pre>

Worked for me on Ubuntu 16.10, Python3, Anaconda3

UPDATE

Add path in your ~/.bashrc or ~/.zshrc(if you are using zsh bash) file 

<pre><code>vi ~/.bashrc
</code></pre>

add the below line to the file

<pre><code>PATH=~/path/to/anaconda:$PATH
</code></pre>

Close the file with

<pre><code>esc + : + wq
</code></pre>

entityMap|blocks|key|6bei4|text|在Mac+OS上，您需要导出|type|unstyled|depth|inlineStyleRanges|entityRanges|data|dimrr|在你的|ek5lm|变量。|5m4fj|#+Edit+the+bash+profile:
$+vim+~/.bash_profile

#+Add+this+line+inside+~/.bash_profile:
export+PATH=$PATH:~/.local/bin

#+Update+the+source:
$+source+~/.bash_profile

#+Open+Jupyter:
$+jupyter+notebook|code-block|syntax|javascript^0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|L|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|M|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|N|9|@]|A|@]|B|$]]|$2|G|4|H|6|I|8|O|9|@]|A|@]|B|$J|K]]]]

On Mac OS you need to export <code>~/.local/bin</code> inside your <code>$PATH</code> variable.

<pre><code># Edit the bash profile:
$ vim ~/.bash_profile

# Add this line inside ~/.bash_profile:
export PATH=$PATH:~/.local/bin

# Update the source:
$ source ~/.bash_profile

# Open Jupyter:
$ jupyter notebook
</code></pre>

entityMap|blocks|key|a4ak6|text|如果jupyter通过以下命令运行：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|45gb1|~/.local/bin/jupyter-notebook|code-block|syntax|javascript|23vp9|只需在终端中运行此命令|5krm0|export+PATH=~/.local/bin:$PATH^0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|L|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|M|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|N|9|@]|A|@]|B|$]]|$2|J|4|K|6|E|8|O|9|@]|A|@]|B|$F|G]]]]

If jupyter run by this command:

<pre><code>~/.local/bin/jupyter-notebook
</code></pre>

simply run this command in terminal

<pre><code> export PATH=~/.local/bin:$PATH
</code></pre>

entityMap|blocks|key|9tsbr|text|在Mac+Os+High+Sierra上，我安装了jupyter|type|unstyled|depth|inlineStyleRanges|entityRanges|data|cnnia|python3+-m+pip+install+jupyter|code-block|syntax|javascript|fqr4c|然后，将二进制文件安装到：|aqv9q|/Library/Frameworks/Python.framework/Versions/3.6/bin/jupyter-notebook^0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|L|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|M|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|N|9|@]|A|@]|B|$]]|$2|J|4|K|6|E|8|O|9|@]|A|@]|B|$F|G]]]]

On Mac Os High Sierra, I installed jupyter with

<pre><code>python3 -m pip install jupyter 
</code></pre>

And then, binary were installed in:

<pre><code>/Library/Frameworks/Python.framework/Versions/3.6/bin/jupyter-notebook
</code></pre>

entityMap|blocks|key|5fsbc|text|使用Ctrl%2BAlt%2BT打开终端窗口。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|952gf|运行命令gedit+~/.profile。|ecq13|添加该行。导出路径=$PATH:/.local/bin/jupyter-notebook。到底部并保存。|5out0|注销，然后重新登录。|f2i65|希望这能起作用。^0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|K|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|L|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|M|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|N|9|@]|A|@]|B|$]]|$2|I|4|J|6|7|8|O|9|@]|A|@]|B|$]]]]

<ul>
<li>Open a terminal window using Ctrl+Alt+T. </li>
<li>Run the command gedit ~/.profile. </li>
<li>Add the line. export PATH=$PATH:/.local/bin/jupyter-notebook. to the bottom and save. </li>
<li>Log out and log in again.</li>
</ul>

Hopefully this will work.

entityMap|blocks|key|5q5fu|text|在Ubuntu上安装Jupyter+Notebook后，我得到以下错误：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|59u6g|异常:未找到Jupyter命令'jupyter-notebook‘。|4210u|我使用了简单的命令，它对我很有效|bjod5|pip+install+--upgrade+--force-reinstall+--no-cache-dir+jupyter|5hold|eefv2|来源：|1c4bq|http://commandstech.com/how-to-install-jupyter-on-ubuntu16-04-with-pictures-commands-errors-solution/|1tsqk|从root用户退出后，执行：|8bh1h|jupyter笔记本^0|0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|R|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|S|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|T|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|U|9|@]|A|@]|B|$]]|$2|I|4|-4|6|7|8|V|9|@]|A|@]|B|$]]|$2|J|4|K|6|7|8|W|9|@]|A|@]|B|$]]|$2|L|4|M|6|7|8|X|9|@]|A|@]|B|$]]|$2|N|4|O|6|7|8|Y|9|@]|A|@]|B|$]]|$2|P|4|Q|6|7|8|Z|9|@]|A|@]|B|$]]]]

After installation of Jupyter Notebook on Ubuntu I got below error:

Exception: Jupyter command 'jupyter-notebook' not found.

I used simple command it's working for me

<blockquote>
 pip install --upgrade --force-reinstall --no-cache-dir jupyter
</blockquote>

Source: <a href="http://commandstech.com/how-to-install-jupyter-on-ubuntu16-04-with-pictures-commands-errors-solution/" rel="noreferrer">http://commandstech.com/how-to-install-jupyter-on-ubuntu16-04-with-pictures-commands-errors-solution/</a>

After exit from root user then execute : 

<blockquote>
 jupyter notebook
</blockquote>

entityMap|blocks|key|c2fg9|text|尝试"pip3+install+jupyter"，而不是pip。这对我很有效。|type|unstyled|depth|inlineStyleRanges|entityRanges|data^0^^$0|$]|1|@$2|3|4|5|6|7|8|C|9|@]|A|@]|B|$]]]]

Try "pip3 install jupyter", instead of pip. It worked for me.

entityMap|blocks|key|9hq7f|text|下面是我在Linux+mint+19上做的事情：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|9dtms|我用以下命令安装了jupyter：|1ng9|pip+install+jupyter|code-block|syntax|javascript|14a5l|和命令：|987a1|jupyter+notebook|bb42r|不起作用，所以用：|ad3e7|sudo+apt+install+jupyter-notebook|1pjum|我解决了这个问题，|avg0o|然后就成功了。^0|0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|V|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|W|9|@]|A|@]|B|$]]|$2|E|4|F|6|G|8|X|9|@]|A|@]|B|$H|I]]|$2|J|4|K|6|7|8|Y|9|@]|A|@]|B|$]]|$2|L|4|M|6|G|8|Z|9|@]|A|@]|B|$H|I]]|$2|N|4|O|6|7|8|10|9|@]|A|@]|B|$]]|$2|P|4|Q|6|G|8|11|9|@]|A|@]|B|$H|I]]|$2|R|4|S|6|7|8|12|9|@]|A|@]|B|$]]|$2|T|4|U|6|7|8|13|9|@]|A|@]|B|$]]]]

Here what I did on Linux mint 19:

I installed jupyter with:

<pre><code>pip install jupyter
</code></pre>

and command:

<pre><code>jupyter notebook
</code></pre>

didn't work, so with:

<pre><code>sudo apt install jupyter-notebook
</code></pre>

I fixed the issue, <code>jupyter notebook</code> worked then.

entityMap|blocks|key|ek7j9|text|唯一有效的方法|type|unstyled|depth|inlineStyleRanges|entityRanges|data|9mk89|me是导出到PATH的，当然是与pip3相关的Python版本:)+(经过很多努力之后)只需运行：|7dtkk|which+pip3|code-block|syntax|javascript|4ur67|你应该会得到类似于(在Mac中)的东西：|6fmuc|/Library/Frameworks/Python.framework/Versions/3.6/bin/pip3|9n7f2|现在运行：|u1ig|export+PATH=/Library/Python/3.6/bin:$PATH|dtqi0|如果它对您有效:)只需将其添加到您的|ekmlm|或者^0|0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|V|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|W|9|@]|A|@]|B|$]]|$2|E|4|F|6|G|8|X|9|@]|A|@]|B|$H|I]]|$2|J|4|K|6|7|8|Y|9|@]|A|@]|B|$]]|$2|L|4|M|6|G|8|Z|9|@]|A|@]|B|$H|I]]|$2|N|4|O|6|7|8|10|9|@]|A|@]|B|$]]|$2|P|4|Q|6|G|8|11|9|@]|A|@]|B|$H|I]]|$2|R|4|S|6|7|8|12|9|@]|A|@]|B|$]]|$2|T|4|U|6|7|8|13|9|@]|A|@]|B|$]]]]

The only thing that worked me is to export to PATH the Python version that is related to the pip3 of course :) (after a lot of struggling) 
just run:

<pre><code>which pip3
</code></pre>

you should get something like (in Mac):

<pre><code>/Library/Frameworks/Python.framework/Versions/3.6/bin/pip3
</code></pre>

Now run:

<pre><code>export PATH=/Library/Python/3.6/bin:$PATH
</code></pre>

If it works for you :) just add it to your 
<code>bashrc</code> or <code>zshrc</code>

entityMap|blocks|key|du23j|text|如果你使用'pip‘而不是'pip3’为Python2安装Jupyter+notebook，它可能会运行：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|ealj2|ipython+notebook|code-block|syntax|javascript^0|0^^$0|$]|1|@$2|3|4|5|6|7|8|H|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|I|9|@]|A|@]|B|$F|G]]]]

If you installed Jupyter notebook for Python 2 using 'pip' instead of 'pip3' it might work to run:

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

entityMap|blocks|key|82rd9|text|最一般的(在jupyter不在/local/bin中的情况下)使用，|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3v3nl|which+jupyter|code-block|syntax|javascript|a5fj1|输出示例|65ocl|~/miniconda3/bin/jupyter|719ol|要查看jupyter的路径，请使用sudo显式使用该路径|f2itf|sudo+~/miniconda3/bin/jupyter^0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|P|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|Q|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|R|9|@]|A|@]|B|$]]|$2|J|4|K|6|E|8|S|9|@]|A|@]|B|$F|G]]|$2|L|4|M|6|7|8|T|9|@]|A|@]|B|$]]|$2|N|4|O|6|E|8|U|9|@]|A|@]|B|$F|G]]]]

Most generally (in case of jupyter not being in /local/bin) use, 

<pre><code>which jupyter
</code></pre>

Example output

<pre><code>~/miniconda3/bin/jupyter
</code></pre>

to see the path for jupyter, then explicitly use that path with sudo

<pre><code>sudo ~/miniconda3/bin/jupyter 
</code></pre>

entityMap|blocks|key|5ch1p|text|我使用以下命令从源代码编译了python3.7|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5mi17|./configure+--prefix=/opt/python3.7.4+--with-ssl
make
make+install|code-block|syntax|javascript|ams48|之后|1jpfd|我发现可执行文件在|4a98v|4pu9m|在这里检查我的答案|59rb5|Python3编译后缺少sqlite3|bldbp|要获取更多详细信息，请在ubuntu14.04下比较python3.7和pip^0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|S|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|T|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|U|9|@]|A|@]|B|$]]|$2|J|4|K|6|7|8|V|9|@]|A|@]|B|$]]|$2|L|4|-4|6|7|8|W|9|@]|A|@]|B|$]]|$2|M|4|N|6|7|8|X|9|@]|A|@]|B|$]]|$2|O|4|P|6|7|8|Y|9|@]|A|@]|B|$]]|$2|Q|4|R|6|7|8|Z|9|@]|A|@]|B|$]]]]

I compiled python3.7 from the source code, with the following command

<pre><code>./configure --prefix=/opt/python3.7.4 --with-ssl
make
make install
</code></pre>

after <code>pip3.7 install jupyter</code> I found the executable is under <code>/opt/python3.7.4/bin</code> 

check my answer here <a href="https://stackoverflow.com/questions/18750886/missing-sqlite3-after-python3-compile/57480189#57480189">Missing sqlite3 after Python3 compile</a> to get more detail comping python3.7 and pip under ubuntu14.04

entityMap|blocks|key|clc4p|text|任何正在寻找运行jupyter作为sudo的人，当jupyter安装了virtualenv+(没有sudo)时-这对我很有效：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3gfd1|首先验证这是路径问题：|b37td|检查返回的路径是否为|1r2er|由sudo用户覆盖：|14j40|sudo+env+%7C+grep+%5EPATH|code-block|syntax|javascript|2c0ha|(相对于当前用户：|4cju8|)|5tid4|如果它没有覆盖-从它添加一个软链接到其中一个覆盖的路径。对于ex：|6coa8|sudo+ln+-s+/home/user/venv/bin/jupyter+/usr/local/bin|6q7p3|现在你应该能够运行：|32gqi|sudo+jupyter+notebook^0|0|0|0|0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|Z|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|10|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|11|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|12|9|@]|A|@]|B|$]]|$2|I|4|J|6|K|8|13|9|@]|A|@]|B|$L|M]]|$2|N|4|O|6|7|8|14|9|@]|A|@]|B|$]]|$2|P|4|Q|6|7|8|15|9|@]|A|@]|B|$]]|$2|R|4|S|6|7|8|16|9|@]|A|@]|B|$]]|$2|T|4|U|6|K|8|17|9|@]|A|@]|B|$L|M]]|$2|V|4|W|6|7|8|18|9|@]|A|@]|B|$]]|$2|X|4|Y|6|K|8|19|9|@]|A|@]|B|$L|M]]]]

Anyone looking for running jupyter as sudo, when jupyter installed with virtualenv (without sudo) - this worked for me:

First verify this is a PATH issue:

Check if the path returned by <code>which jupyter</code> is covered by the sudo user:

<pre><code>sudo env | grep ^PATH
</code></pre>

(As opposed to the current user: <code>env | grep ^PATH</code>)

If its not covered - add a soft link from it to one of the covered paths. For ex: 

<pre><code>sudo ln -s /home/user/venv/bin/jupyter /usr/local/bin
</code></pre>

Now you sould be able to run:

<pre><code>sudo jupyter notebook
</code></pre>

entityMap|blocks|key|6fmiu|text|现在是2020年了。在我和mac一起解决这个问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|fjper|取而代之的是|4s4ur|..。在成功安装关键字之前会出现警告：|54b1n|在此处输入图像描述|e2189|您可以使用jupyterlab查看路径，然后只需通过以下路径启动jupyter+notebook：|3oi8j|jupyter-lab|code-block|syntax|javascript|23goj|notebook将由您的默认浏览器自动加载。^0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|R|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|S|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|T|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|U|9|@]|A|@]|B|$]]|$2|I|4|J|6|7|8|V|9|@]|A|@]|B|$]]|$2|K|4|L|6|M|8|W|9|@]|A|@]|B|$N|O]]|$2|P|4|Q|6|7|8|X|9|@]|A|@]|B|$]]]]

Now in the year of 2020.
fix this issue by my side with mac:
<code>pip install jupyterlab</code> instead <code>pip install jupyter</code>.
there will be an warning before successfully installed keywords:
<a href="https://i.stack.imgur.com/R4bEr.png" rel="nofollow noreferrer">enter image description here</a>
you can see the path with jupyterlab
then you just need to start jupyter notebook by following in path:
<pre><code>jupyter-lab
</code></pre>
notebook will automatic loaded by your default browser.

entityMap|blocks|key|e0fbd|text|安装jupyterlab。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|eqsf|如果您收到此错误：|fmaoo|ERROR:+After+October+2020+you+may+experience+errors+when+installing+or+updating+packages.+This+is+because+pip+will+change+the+way+that+it+resolves+dependency+conflicts.

We+recommend+you+use+--use-feature=2020-resolver+to+test+your+packages+with+the+new+resolver+before+it+becomes+the+default.

requests+2.25.1+requires+idna<3,>=2.5,+but+you'll+have+idna+3.1+which+is+incompatible.|code-block|syntax|javascript|a5pmu|使用以下命令：|56q36|pip3+install+jupyterlab+--use-feature=2020-resolver^0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|N|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|O|9|@]|A|@]|B|$]]|$2|E|4|F|6|G|8|P|9|@]|A|@]|B|$H|I]]|$2|J|4|K|6|7|8|Q|9|@]|A|@]|B|$]]|$2|L|4|M|6|G|8|R|9|@]|A|@]|B|$H|I]]]]

Install jupyterlab.
If you get this error:
<pre><code>ERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts.

We recommend you use --use-feature=2020-resolver to test your packages with the new resolver before it becomes the default.

requests 2.25.1 requires idna&lt;3,&gt;=2.5, but you'll have idna 3.1 which is incompatible.
</code></pre>
Use this:
<pre class="lang-sh prettyprint-override"><code>pip3 install jupyterlab --use-feature=2020-resolver
</code></pre>

After installing with <code>pip install jupyter</code>, terminal still cannot find <code>jupyter notebook</code>. 

Ubuntu simply says <code>command not found</code>. Similar with <code>ipython</code>. Did <code>pip</code> not get install properly or something? How does Ubuntu know where to look for executables installed with <code>pip</code>?

After installing with pip, "jupyter: command not found"

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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 使用安装后pip install jupyter, ，终端仍然找不到jupyter notebook. Ubuntu简单地说command not found..。类似于ipython.  ..。做了pip没有正确安装还是怎么的？Ubuntu如何知道在哪里查找随安装的可执行文件pip  

问使用pip安装后，“jupyter: command not found”
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