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Pandas and python makes data science and analytics extremely easy and effective. We will see some commonly asked Pandas module functions/methods here.

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Python-Pandas-Module

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:

pyodbc

engine = create_engine('mssql+pyodbc://scott:tiger@mydsn')

pymssql

engine = create_engine('mssql+pymssql://scott:tiger@hostname:port/dbname')

Contents:-

1. Python Pandas Tutorial : Read Write Data From Database (read_sql, to_sql)

2. Python Pandas Tutorial : Merge Dataframes

3. Python Pandas Tutorial : Reshape dataframe using melt

4. Python Pandas Tutorial : Stack Unstack

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