#dependency-management

#dependency-management

Managing Go projects requires tracking dependencies, checking for vulnerabilities, and ensuring license compliance. Building a custom analyzer using Go's standard library allows for tailored dependency management.

NumPy quickly becomes complex as dimensions increase; while two dimensions may appear straightforward, adding more can lead to significant challenges in managing data effectively.

Shared libraries, while enhancing efficiency and consistency, can hinder scalability if not managed properly, particularly in microservices environments.