Installing the classic Jupyter Notebook interface

news2026/5/15 18:56:45

简单来说Jupyter Notebook 是一个基于网页的编程环境让你可以边写代码边运行可以一次只运行一小段代码而不是整个程序混合显示代码、运行结果包括图表、图片、文字说明可以写在一起可视化友好图表、图片可以直接显示在代码下方典型用途数据分析与探索机器学习模型开发教学与学习写带注释的代码教程实验记录代码结果说明放在一个文件里适合用的场景你在做数据分析想一步一步看结果你在学习Python想写笔记代码一起保存你在数据可视化想让图表直接显示在代码下面你在教学需要展示代码和解释文字安装Jupyter NotebookThis section includes instructions on how to get started withJupyter Notebook. But there are multiple Jupyter user interfaces one can use, based on their needs. Please checkout the list and links below for additional information and instructions about how to get started with each of them.This information explains how to install the Jupyter Notebook and the IPython kernel.Prerequisite: PythonWhile Jupyter runs code in many programming languages,Pythonis a requirement for installing the Jupyter Notebook. The Python version required differs between Jupyter Notebook releases (e.g. Python 3.6 for Notebook v6.3, and Python 3.7 for Notebook v7) .We recommend using the Anaconda distribution to install Python and Jupyter. We’ll go through its installation in the next section.Installing Jupyter using Anaconda and condaFor new users, wehighly recommendinstalling Anaconda. Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.Use the following installation steps:Download Anaconda. We recommend downloading Anaconda’s latest Python 3 version (currently Python 3.9).Install the version of Anaconda which you downloaded, following the instructions on the download page.Congratulations, you have installed Jupyter Notebook. To run the notebook:jupyter notebookSee Running the Notebook for more details.

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