Enter wget -c https://assets.qiufei.site/install_quarto_linux.sh in the terminal to download the installation script.
Once the download is complete, enter the command bash install_quarto_linux.sh in the terminal to install the Quarto software.
Upon successful installation, a prompt message will be displayed in the terminal.
Note: When running this script in a new application environment, if Quarto is already installed in the application, running this script will result in an error.
Click the Extensions icon in the Cloud Studio application, which is the icon resembling a window with four squares.
Enter quarto in the search area, and you will see an extension with an icon like this: https://quarto.org/quarto.png. Click to install it.
Create a new .ipynb file in the file explorer area of the Cloud Studio application, and name it using the format StudentID-Name-Chapter.ipynb, for example, “2016900020-peter-chapter1-test.ipynb”.
Click to open the created file, select add a code cell, and set the type of this cell to raw.
Enter the following content into the cell:
---
title: 'chapter 1 introduction'
subtitle: 'applied statistics 2026'
author: '2016900020-peter'
date: last-modified
date-format: 'YYYY-MM-DD HH:mm:mm'
format: docx
---
Modify the content following the colons for title and author according to your actual information; do not modify any other content. Note: There must be a space after the colon.
Add another code cell, set the type of this cell to python, and enter print('hello world!') in the cell.
Enter the following command in the terminal: quarto render 2016900020-peter-chapter1-test.ipynb. If a .docx document is generated in the file explorer area, then the platform setup is successful.
You can obtain these local data files from the textbook’s data website. By prepending the string https://assets.qiufei.site/data/ to the filename of the data referenced in the textbook, you can obtain the download link for the data.
For example, if you want to obtain the data stock/stock_basic_data.h5, its URL would be: https://assets.qiufei.site/data/stock/stock_basic_data.h5
Enter the command wget -c https://assets.qiufei.site/data/stock/stock_basic_data.h5 in the terminal to download the data to the workspace.
The download command for all data in the textbook requires simply entering wget -c before the URL.
Modify the data path for the Linux platform in the tutorial, changing the original data_path = '/home/ubuntu/r2_data_mount/qiufei/data/stock'
Modify it to data_path = '/workspace'
For example:
# 根据操作系统自动设置本地数据路径
# Automatically set local data paths based on the operating system
if platform.system() == 'Windows': # 判断当前操作系统类型
# Check the current operating system type
data_path = 'C:/qiufei/data/stock' # Windows 数据路径
# Data path for Windows
else: # Linux 系统下使用服务器数据路径
# Use server data path on Linux
data_path = '/workspace' # Linux 数据路径,教材的原始路径是 '/home/ubuntu/r2_data_mount/qiufei/data/stock'
# Data path for Linux