There are a few potential issues with this code:

  1. Security: The code does not have any authentication or authorization mechanisms, which means that anyone can access the data by simply entering a student's name. This can be a security risk if sensitive data is stored in the Excel file.

  2. Error handling: The code does not have any error handling mechanisms, which means that if there is an error in reading the Excel file or querying the data, the user will see an error message. This can be frustrating for the user and can also reveal information about the system to potential attackers.

  3. Scalability: The code reads the entire Excel file every time a user queries for a student's grade, which can be slow and inefficient if the file is large. A better approach would be to store the data in a database and query it using SQL.

  4. Code organization: The code is not well-organized and can be difficult to read and maintain. It would be better to separate the code into different modules and functions, and to use a framework like Flask to handle routing and request handling

用Python制作网页查询Excel数据这个有什么问题Import flask用于制作网页Import pandas as pd用于读取Excel文件From flask import requsetApp=flaskFlask_name_首先初始化一个flask的APPapproutequery_grademethods=GETPOSTDef query_grade Df=pdread_exc

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