Conda 安装 Jupyter Notebook

Jupyter Notebook 是一款非常盛行的交互式开辟工具，尤其得当数据科学、呆板学习和讲授场景。借助 Conda，我们可以方便地安装和管理 Jupyter Notebook 及其依赖。
1. 安装 Conda

在安装 Jupyter Notebook 之前，确保体系已安装 Conda。Conda 可以通过 Anaconda 或 Miniconda 提供。

• Anaconda: 完备的 Python 数据科学平台，包罗许多常用包。
  
• Miniconda: 精简版，仅包罗 Conda 和 Python，得当自界说环境。
  

下载与安装步调：

• 访问 Miniconda 下载页面 或 Anaconda 下载页面。
  
• 下载得当您利用体系的安装包。
  
• 实行安装脚本：
  
  1. # 示例：在 Linux 系统上安装 Miniconda
  2. bash Miniconda3-latest-Linux-x86_64.sh

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• 按提示完成安装。
  

安装完成后，运行以下下令验证 Conda 是否安装乐成：

1. conda --version

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2. 创建假造环境

利用 Conda 创建独立的 Python 环境，可以制止差别项目间的依赖辩论。

1. conda create -n jupyter_env python=3.9 -y

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激活环境：

1. conda activate jupyter_env

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3. 安装 Jupyter Notebook

在激活的假造环境中，运行以下下令安装 Jupyter Notebook：

1. conda install -c conda-forge notebook -y

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安装完成后，验证安装：

1. jupyter notebook
2. --version

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4. 启动 Jupyter Notebook

启动 Notebook 服务：

1. jupyter notebook

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乐成启动后，您将在终端看到类似以下的输出：

1. http://localhost:8888/tree

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复制链接到欣赏器，即可访问 Jupyter Notebook 界面。
   注意：这只答应当地访问
  假如实现远程访问

1. jupyter notebook
2. --allow-root --ip=0.0.0.0 --port=8888

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输出：

1. [I 2025-01-03 15:08:19.708 ServerApp] notebook | extension was successfully linked.
2. [I 2025-01-03 15:08:19.799 ServerApp] notebook_shim | extension was successfully linked.
3. [I 2025-01-03 15:08:19.805 ServerApp] notebook_shim | extension was successfully loaded.
4. [I 2025-01-03 15:08:19.806 ServerApp] jupyter_lsp | extension was successfully loaded.
5. [I 2025-01-03 15:08:19.806 ServerApp] jupyter_server_terminals | extension was successfully loaded.
6. [I 2025-01-03 15:08:19.807 LabApp] JupyterLab extension loaded from /root/miniconda3/envs/python3.13.1/lib/python3.13/site-packages/jupyterlab
7. [I 2025-01-03 15:08:19.807 LabApp] JupyterLab application directory is /root/miniconda3/envs/python3.13.1/share/jupyter/lab
8. [I 2025-01-03 15:08:19.807 LabApp] Extension Manager is 'pypi'.
9. [I 2025-01-03 15:08:19.825 ServerApp] jupyterlab | extension was successfully loaded.
10. [I 2025-01-03 15:08:19.826 ServerApp] notebook | extension was successfully loaded.
11. [I 2025-01-03 15:08:19.826 ServerApp] Serving notebooks from local directory: /root/python
12. [I 2025-01-03 15:08:19.826 ServerApp] Jupyter Server 2.15.0 is running at:
13. [I 2025-01-03 15:08:19.826 ServerApp] http://registry.ocp.local:8888/tree?token=83ba987b3e4b4e42270650bb2b32c0d8b39eef8dacab3d7e
14. [I 2025-01-03 15:08:19.826 ServerApp]     http://127.0.0.1:8888/tree?token=83ba987b3e4b4e42270650bb2b32c0d8b39eef8dacab3d7e
15. [I 2025-01-03 15:08:19.826 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
16. [W 2025-01-03 15:08:19.828 ServerApp] No web browser found: Error('could not locate runnable browser').
17. [C 2025-01-03 15:08:19.828 ServerApp]
18.    
19.     To access the server, open this file in a browser:
20.         file:///root/.local/share/jupyter/runtime/jpserver-1149459-open.html
21.     Or copy and paste one of these URLs:
22.         http://192.168.21.184:8888/tree?token=83ba987b3e4b4e42270650bb2b32c0d8b39eef8dacab3d7e
23.         http://127.0.0.1:8888/tree?token=83ba987b3e4b4e42270650bb2b32c0d8b39eef8dacab3d7e
24. [I 2025-01-03 15:08:19.834 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server

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5. 安装扩展功能（可选）

为提拔利用体验，可以安装 Jupyter Notebook 扩展工具。

1. conda install -c conda-forge jupyter_contrib_nbextensions
2. jupyter contrib nbextension install --user

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启用常用扩展：

1. jupyter nbextension enable <extension_name>

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6. 更新与维护

定期更新 Jupyter Notebook 以获取最新功能和修复：

1. conda update notebook

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删除假造环境（假如不再必要）：

1. conda remove -n jupyter_env --all

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7. 总结

通过 Conda 安装 Jupyter Notebook 是一种快速而高效的方式，尤其得当必要管理多个 Python 环境的用户。您可以根据需求创建独立环境，并机动扩展 Jupyter 的功能，从而提拔开辟服从。