A few points, then I'll clear up a few things
The popularity of languages doesn't always correlate to when it's released, i.e., some languages fall out, then back into popularity over time. Why? The "language-of-the-moment" falls out of favor, or new uses come into popular use, where some existing language shines. Also, there are more objective merits of various languages: performance, threading models / concurrency, footprint, support, etc.
Language development also continues, even with the large number of options available. There's quite a bit of personality in languages, so people are always looking for a good match to their style, aesthetic flavor, or even the general design philosophy behind the language (you might be surprised how subjective language choices can be).
Visual Basic and .NET? leaning curve is not even comparable if u want a true optimized experience... While the two can co-exsist, the lessor will sacrifice on performance or native speed. I don't believe any mixed code can be just as fast as 'native' code programmed.
And the learning curve of VB.NET is not exactly easy if you've been living with VB all your life.
Once you get the hang of it, it 'seems' easy, but any programming or moving to new language will be "This is too hard"
I'm not sure what you're saying here, i.e., VB vs. .NET - the latter is a managed framework, it's language neutral, it provides a VM, and languages like VB or C#, are developed to compile and run on the provided CLI, for .NET, the MS CLR. The two _always_ coexist, VB.NET runs on the .NET framework, you don't really "program in .NET", that's like saying "I program in the Java VM".
Python's strength leads it to be able to produce web based applications, which you cannot do with C/C++. As for Java, its fallen out of favor to some degree.
Python is a GPPL, like C++ (or Ruby, or GO or ...), and while there are some outstanding web frameworks (DJango, Flask), it's strength is in the language design, portability, huge open source library and how easy it is to consume high performance C/C++ libraries. It's currently seeing a bit of a resurgence because of its use in science sectors, most importantly Machine Learning and Data Viz (for which there are fantastic libs both in native Python and C++).
Also, there are a number of high performance web / API SDKs for C++.