Introduction to the Basic Functions and Interface of Jupyter Notebook

# 1. What is Jupyter Notebook
Jupyter Notebook is an interactive computing environment that supports nearly all programming languages. With Jupyter Notebook, users can write and share code, text, visualizations, and more, while viewing the results of code execution in real-time. Below, we will introduce the overview and historical background of Jupyter Notebook.

## Introduction to Jupyter Notebook

Within Jupyter Notebook, users can consolidate explanatory text, mathematical equations, charts, code, and visual content into a single document, providing a better display of workflow and outcomes. Jupyter Notebook offers a rich set of plugins and extension capabilities, facilitating customized operations and presentations.

## Historical Background of Jupyter Notebook

Jupyter Notebook originated from the IPython project and later evolved into an open-source tool supporting multiple programming languages. Its name is derived from the three core programming languages Jupyter supports - Julia, Python, and R. The advent of Jupyter Notebook has greatly enhanced the convenience and visualization of data analysis and scientific computing.

The emergence of Jupyter Notebook has provided data scientists, researchers, and developers with an interactive platform where they can write, run, and share code, models, and data analysis results. The flexibility and ease of use of Jupyter Notebook have made it an indispensable tool in the field of data science.

# 2. Installation and Configuration of Jupyter Notebook

### Installing Jupyter Notebook
Jupyter Notebook can be installed using package managers like pip. Here are the steps for installation:
1. Open the command line interface.
2. Enter the following command to install:

    pip install jupyter

3. Wait for the installation to complete and you can start using it.

### Configuring the Jupyter Notebook Environment
After installation, we need to perform some configurations to ensure the Jupyter Notebook environment runs smoothly. Here are the steps for configuring the Jupyter Notebook environment:
1. Enter the following command in the command line to generate a configuration file:

    jupyter notebook --generate-config

2. Open the generated configuration file and make modifications as needed, such as setting a password, changing the port, etc.
3. Start the Jupyter Notebook server:

    jupyter notebook

4. Open ***

***'s interface.

# 3. Overview of Jupyter Notebook's Interface

Jupyter Notebook provides an intuitive and user-friendly interface for interactive computing and document writing. Let's delve into the components of Jupyter Notebook's interface.

#### 3.1 Dashboard

After opening Jupyter Notebook, you will see a dashboard similar to a file explorer, used for managing files and notebooks.

**Dashboard Functionality:**

1. **Files**: Displays the files and folders in the current directory, allowing you to create new files, folders, or terminals.
2. **Running**: Shows the currently running kernels (kernel) and corresponding Notebooks.
3. **Cluster**: Used to manage clusters.
4. **Shutdown**: Closes all Notebooks and stops all kernels.

#### 3.2 Notebook Editing Interface

The notebook editing interface is the core of Jupyter Notebook, where users can write code, text, and display various outputs.

**Editing Interface Functionality:**

- Run code blocks and view the results of code execution.
- Support for mixing Markdown and code, making documents more vivid and expressive.
#### 3.3 Quick Tool栏

At the top of the notebook editing interface is a row of quick-access tool buttons, making operations convenient for users.

**Common Quick Tool B