How to connect MYSQL Database in Python

Hits: 122

How to connect MYSQL Database in Python

Connecting to a MySQL database in Python is a straightforward process that allows you to access and manipulate the data stored in a MySQL database. In this article, we will go over the basics of how to connect to a MySQL database in Python.

First, we need to install a library called mysql-connector-python. This library allows us to connect to a MySQL database and execute SQL queries. You can install it by running the following command in your command prompt or terminal: pip install mysql-connector-python

Once the library is installed, we need to import it into our Python script. We can do this by using the import statement, like so: import mysql.connector

Next, we need to create a connection to the MySQL server. We do this by instantiating the mysql.connector.connect class and passing in the following parameters: host, user, password, and database. The host parameter is the IP address or hostname of the MySQL server. The user and password parameters are the username and password that you use to connect to the MySQL server. The database parameter is the name of the database that you want to connect to.

Once the connection is established, we can execute SQL queries on the MySQL server. We can do this by creating a cursor object, which will allow us to execute SQL queries. We do this by calling the cursor() method on our connection object.

We can then execute the SQL query on the MySQL server by calling the execute() method on our cursor object and passing in the SQL query as a parameter.

Lastly, we need to close the connection and cursor, This is important because it ensures that the connection to the MySQL server is closed and the resources are freed.

 

In this Machine Learning Recipe, you will learn: How to connect MYSQL Database in Python.



Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners