| Keywords: |
actions,advanced logging,asynchronous,atomic,atomic reloading,branch,branch coverage,checksum,checksum algorithms,code,code statement coverage,comprehensive documentation,core features,couple,couple plugins,coupling plugins,coverage,customization,debugging,debugging methods,decouple,decouple plugins,decoupling plugins,dependencies,design,development,development time,documentation,dynamic,dynamic and modular design,dynamic framework,efficiency,efficient,efficient resource usage,error,error handling,existing project,extensibility,extensible,extensible architecture,features,flexibility,footprint,functions,github actions,integrated,integration,integration tests,interoperability,loader,logging,luminal,manager,metaclasses,methods,minimal,minimal #pragma tags,modifications,modular,modular dynamism,modularity,monitoring,multi-threaded,multi-threaded library,object,object caches,optimizations,optimizing,optimizing resources,photons,plugin development standards,plugins,portable,prioritizing,prioritizing security,private methods,project,public-facing functions,python,quick modifications,readability,reliability,resources,safety,scale,scale projects,seamlessly integrated,small,small footprint,software flexibility,statement,streamlining,streamlining projects,structured,structured and organized code,syntax,tags,tailoring,tailoring functionality,testing,tools,transparency,unit,unit testing,unit tests,up-to-date python syntax,utilities,utils |