I have written several posts regarding job trends in programming languages. However, I have not really written any posts that looked towards the future of programming languages. With job trends, I have been focusing on more heavily adopted languages. In this case, I wanted to look at some other languages that are gaining popularity but have not really become one of the top languages to use. Part of this analysis uses the Tiobe December 2010 rankings, some from ReadWriteWeb’s recent programming languages post (based on this Dataists post), and the rest comes from the job trends that are included. Two languages from the normal job trends posts that will continue to see solid growth and deem mentioning are Objective-C and Python. Obviously, with the growing Apple ecosystem, Objective-C continues to grow. Python is being used in data analysis, which is growing rapidly, as was mentioned in my recent post on some O’Reilly data. I have not split these languages into any particular type, like traditional and scripting, because I wanted to look at everything together. Some of the jobs data is difficult to include because of the amount of noise from other industries. Go and R have a lot of noise in particular and are not included in the graphs. However, they are included due to their origin (Google) and usage (Data Analysis) respectively. First, let’s look at the languages themselves ordered by Tiobe rank (Tiobe ranking and RWW & Dataist Tier included) : Go (Tiobe: 21 , Tier: 4)
R (Tiobe: 26, Tier:3)
Lua (Tiobe: 27, Tier:3)
Scheme (Tiobe: 29, Tier:3)
ActionScript (Tiobe: 37, Tier:2)
Erlang (Tiobe: 49, Tier:3)
Groovy (Tiobe: 50-100, Tier: 3)
Scala (Tiobe: 50-100, Tier:2)
Clojure (Tiobe: 100+, Tier:3)Interestingly enough, there does not seem to be a correlation between the Tiobe rank and the Dataist Tier. If anything, it almost looks like a reverse correlation, but I am going to ignore correlation for now. So, how does the ranking data compare to the job demand data? Read more: Javalobby
R (Tiobe: 26, Tier:3)
Lua (Tiobe: 27, Tier:3)
Scheme (Tiobe: 29, Tier:3)
ActionScript (Tiobe: 37, Tier:2)
Erlang (Tiobe: 49, Tier:3)
Groovy (Tiobe: 50-100, Tier: 3)
Scala (Tiobe: 50-100, Tier:2)
Clojure (Tiobe: 100+, Tier:3)Interestingly enough, there does not seem to be a correlation between the Tiobe rank and the Dataist Tier. If anything, it almost looks like a reverse correlation, but I am going to ignore correlation for now. So, how does the ranking data compare to the job demand data? Read more: Javalobby
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