In the rapidly evolving field of graph database technology, developers must stay current with the latest tools to maintain project efficiency, especially as the py2neo library for Neo4j is no longer actively maintained. Memgraph's GQLAlchemy emerges as a robust alternative, offering seamless integration with the Memgraph graph database and enabling common graph operations such as node and relationship creation, database updates, and algorithm execution. The guide outlines the transition from py2neo to GQLAlchemy, demonstrating the installation and setup of Memgraph using Docker, and illustrates how to perform graph operations using Python client libraries. Both libraries provide capabilities for creating nodes and relationships, but GQLAlchemy extends these functionalities with its open-source implementation available on GitHub, backed by comprehensive documentation. Developers are encouraged to utilize the Memgraph Lab for visualizing graph data and can rely on the active community on Discord for additional support.