Pandas and python makes data science and analytics extremely easy and effective. We will see some commonly asked Pandas module functions/methods here.
Use of SQLAlchemy to create engine.
Microsoft SQL Server The SQL Server dialect uses pyodbc as the default DBAPI. pymssql is also available:
engine = create_engine('mssql+pyodbc://scott:tiger@mydsn')
engine = create_engine('mssql+pymssql://scott:tiger@hostname:port/dbname')
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