Often, beginners in SQL or data science struggle with the matter of easy access to a large sample database file (.DB or .sqlite) for practicing SQL commands. Would it not be great to have a simple tool or library to generate a large database with multiple tables, filled with data of one’s own choice? This Python package generates a random database TABLE (or a Pandas dataframe, or an Excel file) based on user’s choice of data types (database fields). User can specify the number of samples needed. One can also designate a “PRIMARY KEY” for the database table. Finally, the TABLE is inserted into a new or existing database file of user’s choice.
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