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.
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 - …[Read more]