Your points are valid, We should not forget telecom industry is one of the most important Market/Domain in World. It is vast and we have plenty of opportunities to work on, We need to keep ourselves updated to latest tech.
Get in depth telecom Protocol level knowledge, also need to understand and learn how Automation, Cloud , big data, IOT are going to play big role in telecom,
Not only in telecom industry but all the industries out there everyone have to educate themselves with updated technology. So it’s common for all Engineers nowdays if they don’t learn and grow there is no work for them
Is just a hype at the end when bulk rollout happens everybody would be called to do ssv first.
Customer needs drive test at first irrespective whether it’s ran or open ran.
Physical and parameters optimisation would be required but if automated tools then we are gone forever.
Also, I believe if someone wants to start learning Data science, Python is the wrong choice.
Go for Julia.
But let me clarify: I mean for someone who has around two years to study Data Science, go for Julia.
Python is superb.
I have been coding Python since 2008.
The first book I read was Think Python by Allen Downey.
Allen Downey has now written Think Julia.
In 2008, MIT has first time used Python in the course “Introduction to Computational Thinking with Python”.
And they suggested Think Python as reference book.
Now they have introduced Introduction to Computational Thinking with Julia.
And suggested to use Think Julia by Allen Downey as reference book.