Read Data From SQL Server Using Python
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard library.
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.
Pyodbc is an open source Python module that makes accessing ODBC databases simple. It implements the DB API 2.0 specification. Using pyodbc, you can easily connect Python applications to data sources with an ODBC driver.
As with other application stacks connecting through the ODBC API, the application—in this case your python code along with the pyodbc module—will use an ODBC driver manager and ODBC driver. The ODBC driver manager is platform-specific, while the ODBC driver is database-specific. The ODBC driver manager and driver will connect, typically over a network, to the database server.
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