Using database with python week 6 databases and visualization

using databases with python can be very useful for storing and managing data in a structured way. in this tutorial, we will focus on working with databases in python, specifically sqlite, and visualize the data using python libraries like matplotlib.

sqlite is a lightweight database that doesn't require a separate server process to run. it is a self-contained database engine that allows you to interact with databases using sql queries.

to work with sqlite databases in python, you need to first install the sqlite library. you can install it using the following command:

now, let's create a simple sqlite database and insert some data into it using python:

in the code above, we first connect to the sqlite database and create a table `users` with columns `id`, `name`, and `age`. we then insert two rows of data into the table and commit the changes.

now, let's retrieve the data from the database and visualize it using matplotlib:

in the code above, we retrieve the data from the `users` table and store it in the `data` variable. we then extract the names and ages from the data and create a bar chart using matplotlib to visualize the age distribution of users.

this tutorial provides a basic overview of working with databases in python and visualizing data using python libraries. feel free to explore more advanced features and functionalities of sqlite and visualization libraries to enhance your data management and visualization tasks.

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