Python is favored for its simplicity, yet it faces significant challenges in large-scale Learning Management Systems (LMS). Its slower execution speed and issues with the Global Interpreter Lock (GIL) hinder its ability to handle numerous concurrent users effectively. As the LMS market is projected to surge, the limitations of Python could impact performance and scalability, making it vital for organizations to explore more robust programming alternatives better suited for high-demand environments.
One of the primary concerns with using Python for large-scale LMS development is its performance limitations.
According to TechEmpower's Web Framework Benchmarks, Python-based web frameworks like Django perform slower in high-concurrency situations compared to Node.js or Java-based frameworks.
Collection
[
|
...
]