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https://github.com/kinshuk-code-1729/interface-python-with-mysql
This repository contains some codes of MySQL Connectivity with python.
https://github.com/kinshuk-code-1729/interface-python-with-mysql
database-connectivity interface-python-with-mysql mysql-connector-python mysql-database python3
Last synced: 5 days ago
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This repository contains some codes of MySQL Connectivity with python.
- Host: GitHub
- URL: https://github.com/kinshuk-code-1729/interface-python-with-mysql
- Owner: kinshuk-code-1729
- License: mit
- Created: 2021-09-17T15:33:58.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-02-17T15:52:42.000Z (9 months ago)
- Last Synced: 2024-02-17T16:47:13.586Z (9 months ago)
- Topics: database-connectivity, interface-python-with-mysql, mysql-connector-python, mysql-database, python3
- Language: Python
- Homepage:
- Size: 8.79 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Interface-Python-With-MySQL
## This repository contains some codes of MySQL Connectivity with python.- *This repository contains various Python snippets that connect the MySQL database to the Python scripts. When designing real-world applications, we are certain to come across instances in which we need to manipulate data contained in a database using an application that we built. To connect to a database from within Python, we need a library that provides connectivity capabilities.*
- *There are other Python libraries available to accomplish this task, but in this repository, I utilized the mysql connector package.By linking our Python script to the MySQL database, we can run several MySQL queries without having to launch the MySQL program. It simply establishes a remote connection with the database by creating a connection object, allowing us to create, alter, and manipulate the records stored in a table, as well as access the databases and tables stored in them.*
- *We can also extract data to the result-set, which allows us to fetch MySQL data to the Python environment's output screen.*