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Using Python 3.6 and SQL Server I have coded the following to connect to a SQL s

ID: 3600226 • Letter: U

Question

 Using Python 3.6 and SQL Server I have coded the following to connect to a SQL server and add data from a csv file I downloaded. I created a table and added the data.(I think) How would I query the data by the top 50 rows? And how would I query the data by the highest years, again like 50 rows?  import pyodbc connection_string = 'DRIVER={XXX XXX};SERVER=XX.XX.XX.XXX;DATABASE=MIS5400;UID=mis5400;PWD=Mi$5400' conn = pyodbc.connect(connection_string,autocommit=True)  curs = conn.cursor() curs.execute(     '''     create table Unemployment_Rate_Mecham(     ID int primary key clustered identity(1,1)     ,ObservationDate datetime     ,CPIAUCSL float     )      '''     ) import csv insert_query = 'insert into Unemployment_Rate_Mecham (ObservationDate, CPIAUCSL) values (?,?)' with open(r'C:UsersNathanDesktopMIS 5400UNRATE.csv', 'r',encoding='utf8') as cpi_file:     cpi = csv.reader(cpi_file)     curs.executemany(insert_query, cpi)  conn.commit() conn.close()  conn =  pyodbc.connect(connection_string,autocommit=True) curs = conn.cursor() 

Explanation / Answer

ANSWER::

<%@ page import="java.sql.*"%>

<%@ page import="java.util.*" %>

<%

Connection connection = null;

try {

Class.forName("com.mysql.jdbc.Driver");

connection = DriverManager.getConnection("jdbc:mysql://localhost:3306/myproject","root","root");

String sql="";

}

catch(Exception e)

{

System.out.println(e);

}

%>

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