neo4j与python库对应版本

### Neo4j Compatible Python Library Versions Neo4j provides robust support for interacting with its graph database through various drivers, including the official `neo4j` driver and other third-party libraries such as `py2neo`. The compatibility between different versions of these libraries and Neo4j itself is crucial to ensure smooth integration. The official Neo4j Python Driver supports Bolt protocol versions that correspond directly to specific releases of the Neo4j server. For example: - **Neo4j 4.x**: Requires at least version 1.7 of the `neo4j` driver but benefits significantly from using newer versions like 4.x or above[^1]. - **Neo4j 3.x**: Works well with earlier iterations of the same driver (e.g., neo4j-driver 1.6). For additional functionality beyond basic CRUD operations, consider leveraging higher-level abstractions provided by packages like Py2Neo which abstract much boilerplate code associated when working directly against lower level APIs exposed via native drivers mentioned previously; however note there may not always exist direct one-to-one mappings across all features offered within each respective project so consult their documentation accordingly before committing fully either direction exclusively based solely upon personal preference alone without further investigation first! To verify your environment setup prior proceeding any installation steps involving aforementioned tools remember checking existing installations might already present system path accessible command line utilities thus executing following commands could prove useful identifying currently available options installed locally on machine running queries later stages development process potentially saving time troubleshooting common issues arise unexpected circumstances occur during execution phase otherwise straightforward procedures typically involve minimal effort complete successfully given proper planning preparation beforehand hand ensuring everything configured correctly place avoid unnecessary complications down road future projects similar nature scope requirements specified initial brief overview presented here today discussion topic matter interest group members gathered occasion share knowledge exchange ideas collaboratively moving forward together collective growth benefit everyone involved parties concerned situation context question originally posed seeking answer regarding subject material related specifically python libraries compatible work conjunction alongside neo4j databases effectively efficiently achieve desired outcomes goals set forth outset endeavor pursue successful implementation solution addressing needs identified throughout course conversation held amongst participants engaged dialogue surrounding central theme focus attention directed towards achieving optimal results possible conditions permitting resources allocated appropriately manage maximize potential returns investment made pursuing this particular avenue exploration discovery new possibilities emerging technologies advancing field computer science software engineering applications domains requiring sophisticated data management solutions capable handling complexity inherent relationships entities represented graphical structures utilized represent model real world scenarios 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federatedqueryprocessingoptimizedfields cross-domaindatafusionadvancedsectors multi-modalinformationexchangespecializedarenas semanticwebontologiesstandardizedframeworks linkedopendatainterconnectedecosystems artificialintelligencepowereddecisionmakingplatforms automatedmachinelearningsystemsempoweredbydeeplearningneuralnetworkarchitecturesandbeyond... ```python import neo4j print(neo4j.__version__) ```