How to access sqlite database how to#
How to access sqlite database archive#

Finally, we create the Query to execute using simple SQLite syntax. The except block catches exceptions and prints the error message to the user. Once the query executes successfully, we tell SQLite to use the commit method to save the changes to the database. The block also prints a message on successful Query execution. As mentioned above, the next lines call the cursor’s object to execute the method and call pass the query as the parameter. The following lines create a cursor object that we will use to call the execute method. In the second function, create, we pass the connection and the query to execute as the parameters. Let us now discuss what the code above does-find the first function explained above (please refer). Run_query ( connection =connect_db ( '/home/user/Desktop/sql.sqlite' ), sql_query =query ) Print ( 'SQL Query Run Successfully………………' ) Return connection def run_query ( connection, sql_query ): Print ( 'Database connected successfully' )

How to access sqlite database archive#

Let us start by installing SQLite: Installing SQLite and Pythonĭepending on your Linux distribution, you can download the SQLite archive from or use the package manager. From establishing a connection to creating databases, reading databases, updating, and removing databases.

How to access sqlite database how to#

In this tutorial, we will look at how to use Python to work with SQLite databases. By default, Python comes built-in with an SQLite module (sqlite3), a very intuitive module for working with SQLite databases in Python. SQLite is standalone and requires minimal configuration, making it extra easy to set up and run with minimal time. SQLite is a simple, powerful, open-source, and relational database engine that supports large software applications and embedded systems.

SQLite is one of the most popular database management systems in Python. It also has a simple syntax that allows developers who know other programming languages to adapt to using Python with ease.Data is everywhere, and a wide range of software applications interact with data using a Database Management System. Python is a popular and robust programming language rich in features that make it usable in a wide range of cases like data science, networking, IT automation, penetration testing, and many more.