Let us wait and watch but I somehow feel that this no-GIL mode is just a band-aid solution to Python's performance problem. The cause goes deep inside the core

Let us wait and watch but I somehow feel that this no-GIL mode is just a band-aid solution to Python's performance problem. The cause goes deep inside the core of Python, it gradually came to this stage as more and more features got added to the language since the 3.x transition. I think new language features shouldn't just be added to provide syntactic sugars or coding shortcuts to programmers or just because a certain feature has become very cool (like lambda functions, for eg). I'm glad that the Python community has realized that performance is an issue and started working on things like no-GIL mode. People often say that Python's biggest strength is its readability and easy syntax but I disagree. Python's real strength is the enormous third party library ecosystem, popular packages like numpy, pandas, scikit, etc. which have almost become addictive in most data science projects. But now, people are thinking of other alternatives to these due to Python's performance issues. Other ecosystems like golang and rust are getting built at rapid pace and at some point, they will also have (more performant) equivalents of these packages if public shows enough interest.