Python software provides semi-structured data models for easy analysis and management. The models simplify the analysis process, making it easier for professionals to work with extensive data efficiently.
Models is a powerful framework designed for mapping Python classes to semi-structured data. Unlike traditional object-relational mapping (ORM) tools, Models is specifically designed to work with non-relational data structures, such as key/value stores or document-oriented databases.
One of the key benefits of using Models is that it allows you to define a valuable subset of data within your chosen storage system. This means that you don't have to work with entire entities – instead, you can focus on specific parts of the data that are relevant to your needs.
Whether you're working with a simple key/value store or a more complex document-oriented database, Models makes it easy to define your data structure and work with it programmatically. With its intuitive API and powerful mapping capabilities, it's a must-have tool for any Python developer working with semi-structured data.
One of the key benefits of using Models is that it allows you to define a valuable subset of data within your chosen storage system. This means that you don't have to work with entire entities – instead, you can focus on specific parts of the data that are relevant to your needs.
Whether you're working with a simple key/value store or a more complex document-oriented database, Models makes it easy to define your data structure and work with it programmatically. With its intuitive API and powerful mapping capabilities, it's a must-have tool for any Python developer working with semi-structured data.
What's New
Version 0.0.4: N/A