How To Generate Test Data for Your Database Project With Python

• mysql_random_data_load

  2 264 0.0 Go

  MySQL random data loader

  

If you choose a data generator instead, you can find one for MySQL in one of the repositories on our Percona Lab GitHub account. Are you using other database technologies? You can follow the guides I already published where I explain how to create your own data generator for MySQL (it could work for PostgreSQL) and MongoDB.

• data-generator

  1 9 2.2 Python

  Data Generator (by mattdark)

The code shown in this blog post can be found on my GitHub account in the data-generator repository.

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• SQLAlchemy

  123 8,750 9.7 Python

  The Database Toolkit for Python

  

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

• Pandas

  393 41,923 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

If you need test data for the database of your project, you can get a dataset from Kaggle or use a data generator. In the first case, if you need to process the data before inserting it into the database, you can use Pandas, a widely used Python library for data analysis. This library supports different formats, including CSV and JSON, and it also provides a method for inserting data into a SQL database.

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