Compile editable business configuration into consistent, validated JSON using Python. Configuration teams often hand-maintain factors, weights, dropdown values, and score bands. Small errors such as ...

Almost every Python project eventually needs a config. Everyone starts with a simple JSON or YAML — that's the normal thing to do. But once the app grows and goes to production, configs start fighting ...

In AI and machine learning pipelines, the ability to accurately extract text from "unstructured data" such as PDFs and images ...

A small, testable Python CLI for validating JSON configuration files against a focused JSON-schema-inspired format. This is the first project in a portfolio roadmap from Python fundamentals toward SQL ...

Infrastructure as code is a critical component of today's system management environment. Various configuration managers, such as Ansible, Puppet and Terraform, recognize and work with specific ...

JSON is a hugely popular format, used for configuration, API responses, game save data, and much more. But it has its critics, and JSON is not the only option. YAML is actually older than JSON, but ...

Microsoft SQL 2016 and later versions and Azure SQL provide JSON support through functions that operate on nvarchar columns. The mssql-python driver sends and receives JSON as regular Python strings.