For testing purposes, especially if you’re working on a project
that uses any database technology to store information, you may
need data to try out your project. In that case, you have two
options:
- Find a good dataset (Kaggle) or,
- Use a library like Faker
Through this blog post, you will learn how to generate test data
for MySQL using Faker.
Requirements Dependencies
Make sure all the dependencies are installed before creating the
Python script that will generate the data for your project.
You can create a requirements.txt file with the following
content:
pandas
sqlalchemy
PyMySQL
tqdm
faker
Once you have created this file, run the following command:
pip install -r requirements.txt
Or if you’re using Anaconda, create an environment.yml
file:
name: percona
dependencies:
- python=3.10
- pandas
- sqlalchemy …
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