Python’s SQLAlchemy: 3 powerful features you need to know

<p>Python&nbsp;<a href="https://www.sqlalchemy.org/" rel="noopener ugc nofollow" target="_blank">SQLAlchemy</a>&nbsp;is a powerful and flexible Object-Relational Mapping (ORM) library that simplifies database interactions in Python applications. It provides developers with a high-level, Pythonic interface to interact with relational databases, allowing them to work with databases using Python classes and objects, rather than writing complex SQL queries and this way abstracting their code, removing any native syntax for all supported database systems, such as PostgreSQL, MySQL, SQLite, and Oracle.</p> <h1>Scope</h1> <p>Today, I&rsquo;m going to demonstrate to you three useful features of the SQLAlchemy library that one will most probably use every time using the library in any sort of project development.</p> <p>Although any code included in the process will be explained, for the sake of story length, some experience in Python and SQLAlchemy or databases in general will be presumed. If you find it difficult to grasp, then I recommend going back to documentation or tons of guides out there to understand the missing notions and then return to re-read for deeper understanding.</p> <h1>Use case</h1> <h2><strong>Data model</strong></h2> <p>For our use case today, we are going to examine a simple SQL table that will hold user entries. The code will focus on SQLAlchemy integration to achieve our needs for data storage and hence no web frameworks or any other complexity will be involved.</p> <p><a href="https://itnext.io/pythons-sqlalchemy-3-powerful-features-you-need-to-know-433a8af565ec">Click Here</a></p>