Python Flask Project: School Result Management System

Flask实战：学生成绩管理系统

学习Flask、Google Sheets API与认证，构建完整的学生成绩管理系统。教师可登录、自动获取学生信息、录入分数、更新表格、自动计算总分与均分，并生成PDF成绩报告。

Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 20m | Size: 941.39 MB

Learn Flask, Google Sheets API, Authentication, Data Handling and build a complete student results system

What you’ll learn
Allow teachers to log into the system
Automatically retrieve student names using their student ID numbers
Record subject scores through a web interface
Update marks directly in Google Sheets
Automatically calculate totals, averages, and results
Generate professional PDF progress reports for students

Requirements
Basic knowledge of Python programming
Basic understanding of HTML, CSS, JavaScript and web development
A computer (Windows, macOS, or Linux)
Python installed on your computer
A Google account to use Google Sheets and Google Drive
Basic familiarity with using a web browser and internet
Willingness to learn by building a real project step-by-step

Description
This course contains the use of artificial intelligence. It is a complete, hands-on guide to building a School Result Management System using Python and Flask, integrated with the Google Sheets API for real-time data storage and retrieval.

You will learn how to design and develop a real-world backend system that allows teachers to securely log in, manage student records, and update academic results across multiple spreadsheets.

Starting from the basics, you will explore how Flask works, including application structure, routing, and handling user requests. You will then implement session-based authentication, ensuring that only authorized teachers can access and modify student data.

A key part of this course is learning how to connect your application to Google Sheets. You will work with service accounts, API authentication, and secure credentials, enabling your system to read and write data programmatically.

You will also build robust data handling features, including

• Reading student records from multiple sheets

• Cleaning and processing data using Pandas

• Implementing retry mechanisms and exponential backoff

• Handling API rate limits and errors

• Locating and retrieving specific student records

By the end of this course, you will have built a fully functional result management system similar to real production systems used in schools.

This course is perfect for anyone who wants to move beyond theory and gain practical experience by building a real application.