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<p>本文介绍了如何在Jupyter Notebook中使用本机的conda环境进行开发</p>
<a id="more"></a>
<h1 id="Jupyter下conda多环境管理"><a href="#Jupyter下conda多环境管理" class="headerlink" title="Jupyter下conda多环境管理"></a>Jupyter下conda多环境管理</h1><h2 id="1-手撸命令"><a href="#1-手撸命令" class="headerlink" title="1. 手撸命令"></a>1. 手撸命令</h2><ol>
<li><p>在<code>base</code>环境下安装内核管理工具<br> <code>pip install ipykernel</code></p>
</li>
<li><p>将环境内核添加到<code>jupyter kernel</code>中<br> <code>python -m ipykernel install --user --name [env_name] --display-name "[show name in jupyter]"</code></p>
</li>
<li><p>在各个环境中先<code>activate [env_name]</code>激活，再安装<code>ipykernel</code><br><code>conda install ipykernel</code></p>
</li>
<li><p>不用第二步，在各个环境内操作内核<br><code>python -m ipykernel install --name [show name in jupyter]</code></p>
</li>
<li><p>查看已在<code>jupyter</code>中创建的虚拟环境内核<br> <code>jupyter kernelspec list</code></p>
</li>
<li><p>删除内核<br> <code>jupyter kernelspec uninstall [env_name]</code></p>
</li>
</ol>
<h2 id="2-使用插件"><a href="#2-使用插件" class="headerlink" title="2. 使用插件"></a>2. 使用插件</h2><p>简单粗暴, 在<code>base</code>环境下使用命令<br><code>conda install nb_conda</code><br><img src="./use-conda-env-in-jupyter/1.png" alt=""><br><img src="./use-conda-env-in-jupyter/2.png" alt=""><br>接下来, 看看jupyter中能不能显示<code>conda</code>环境<br><code>jupyter notebook</code><br><img src="./use-conda-env-in-jupyter/3.png" alt=""><br>在文件内部也可以很方便的切换环境<br><img src="./use-conda-env-in-jupyter/4.png" alt=""></p>
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<div style="text-align:center;color: #ccc;font-size:14px;">-------------本文结束<i class="fa fa-heart"></i>感谢您的阅读-------------</div>
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<p><span>本文标题:</span><a href="/use-conda-env-in-jupyter.html">在Jupyter Notebook中使用本机的conda环境</a></p>
<p><span>文章作者:</span><a href="/" title="访问 Keavnn 的个人博客">Keavnn</a></p>
<p><span>发布时间:</span>2019年03月22日 - 13:03</p>
<p><span>最后更新:</span>2019年08月06日 - 08:08</p>
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