Well mySQL and Python are the clear winners.

A good Lisp forum (and Lisp derivates: scheme, common lisp, clojure ect.) would be more interesting though.

Everyone is right to question your wording though. As you put several different classes of languages on your list. Utility languages like mySQL (commonly used by other languages), high level general purpose languages like python and ruby, and low level languages like Assembly.

Python is most popular because big companies use it for their front end users like google :)

<a href="http://lolcode.com/" target="_blank">LOL Code</a> ftw...........

But as far as that list hmmm...

Scheme is pretty much lisp and I hate them both.
So uh yeah... Stick with Python and SQL as has been mentioned. Python is my first love.

Replace Flash with ActionScript.

What market are you aiming for? Hobby programmers? Those working professionally developing high-end financial systems? Website developers?

Nonsense. Python is no way near the most widely used programming language.

Well I am not sure if it is a corporate standard, like one poster suggested. However, it is definitely a very popular standard in academia for scientific calculations. (when C/C++ modules have not been needed/written.)

I'd have to respectfully disagree with you there. If I want to do scientific calculations I'll have several prerequisites, which normally either fall under speed of execution, or reliability/accuracy. For either of those, I wouldn't choose python, and I don't think most academics would either.

Java and C are clearly the most popular programming languages, however. C is used for everything. Even PHP is built using C. And Java is used by millions of organisations around the world (NASA for one), and in our mobile phones etc.

Sources:
http://langpop.com/
http://en.wikipedia.org/wiki/Measuri...age_popularity

Haha... Respectfully, I don't think I understand your disagreement. I am especially worried that you think that there are problems with Python's reliability and accuracy. There is certainly no cause for concern there. Python can use double point precision (which is more than precise enough for any practical purposes) and is far less prone to failure due to minor errors.

It is true that C/C++ modules are used in some special cases. But generally those are developed and are meant to handle things that require an especially high degree of optimization. For everyday computing, almost everything is done in either Python or Matlab. At least in my experience, and the experience of my friends.

~Tim

PS. I think that this discussion highlights the point we have been trying to make: the popularity of languages is going to vary vastly depending on your target audience.