MySQL

SQLServerCentral Article

Modifying MySQL data from within Python

  • Article

In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.

2023-08-04

304 reads

External Article

Modifying MySQL data from within Python

  • Article

In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.

2023-08-02

External Article

Retrieving MySQL data from within Python

  • Article

The approach you take when accessing MySQL will depend on the programming language you’re using and the connector you choose for interfacing with the database. Whatever approach you take, the same basic principles generally apply to each environment. You must establish a connection to the database and then issue the commands necessary to retrieve or modify the data.

2023-05-24

Technical Article

Python 3 Script for Generating SQL Insert Statements from CSV Data

  • Script

This Python 3 script is designed to take CSV file data pasted into the csv_data variable and generate SQL insert statements that can be used to insert the data into a MySQL database. The script is easy to use and can save you a lot of time when working with large amounts of data.

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2023-05-08 (first published: )

4,584 reads

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Question of the Day

The LAGging NULL

I have this data in a SQL Server 2022 table:

player         yearid team HR
Alex Rodriguez 2012   NYY  18
Alex Rodriguez 2013   NYY  7
Alex Rodriguez 2014   NYY  NULL
Alex Rodriguez 2015   NYY  12
Alex Rodriguez 2016   NYY  9
If I run this code, what are the results returned in the hrgrowth column?
SELECT
  player
, yearid
, hr
, hr - LAG (hr, 1, 0) IGNORE NULLS OVER (ORDER BY yearid) AS hrgrowth
FROM dbo.playerstats;

See possible answers