How to Write and Run Code in Jupyter Notebook

# 1. What is Jupyter Notebook ## 1.1 Introduction to Jupyter Notebook Jupyter Notebook is a web-based interactive computational environment designed for creating and sharing narrative documents that combine live code, equations, visualizations, and narrative text. Supporting over 40 programming languages, including but not limited to Python, R, and Julia, its primary feature is the integration of code, text, images, and formulas into a single document. This allows users to visually demonstrate data analysis processes, visualizations, and research findings. ## 1.2 Advantages of Jupyter Notebook - **Interactivity**: Code can be run in real-time within code blocks, with results displayed immediately, facilitating analysis and debugging. - **Visualization**: Rich data visualization capabilities are supported, such as plotting, charts, and animations. - **Documentality**: Documents can simultaneously contain code, text, mathematical formulas, and images, making it convenient to present and share analysis processes and results. - **Flexibility**: With support for multiple programming languages, users can choose the most suitable environment for data analysis and modeling according to their needs. In the following chapters, we will introduce how to install, start, and use Jupyter Notebook to help readers make better use of this powerful tool for programming and data analysis. # 2. Installing and Starting Jupyter Notebook Jupyter Notebook is an open-source interactive notebook that allows for writing and executing code, displaying data visualizations, and writing descriptive documents. It supports various programming languages, including but not limited to Python, R, and Julia. ### 2.1 Installing Anaconda Before installing Jupyter Notebook, it is recommended to use Anaconda for installation. Anaconda is a Python distribution for scientific computing that includes commonly used scientific libraries and tools. Here are the steps to install Anaconda: 1. Download Anaconda: Visit the official website at *** *** *** `conda -V`, and if you see the version number, it indicates that Anaconda has been successfully installed. ### 2.2 Starting Jupyter Notebook After installing Anaconda, it is very convenient to start Jupyter Notebook. Here are the steps to start Jupyter Notebook: 1. Open Anaconda Navigator: Find Anaconda Navigator in the Start menu or launcher and open it. 2. Start Jupyter Notebook: Locate the Jupyter Notebook icon in Anaconda Navigator and click to start. 3. Run Jupyter Notebook: A Jupyter Notebook page will automatically open in the browser, where you can begin writing and executing code blocks. By following these steps, you can successfully install and start Jupyter Notebook, ready to use this powerful interactiv