I've seen quite a few languages to one degree or another [1]. So for the following languages I have a clue how productive I'd be:
JS, Py3, Java, Obj-C, C, C++, Bash, Ruby, C#, VBA, x86-64, R, PHP, Matlab, Mathematica, and Go.
I'd still like to know what you think from these languages in which you feel most productive and why.
Languages I don't have a clue about:
Haskell, Lisp, Smalltalk, Kotlin, Swift, Rust, Dart, Scala, Perl, Julia, Groovy, APL, Erlang, Elixir, Clojure, Delphi and F#
I'd really like to know from these languages in which you feel most productive and why.
[0] https://news.ycombinator.com/item?id=29225207
[1] At least one project, all the way up to using professionally.
[2] Personal context:
I'm going to be unemployed soon. Rather than finding a new job I figured, screw it! I'm going to do stuff that I actually like to do. After 3.16 hellish years that was 23 months job searching in the software industry, and 15 months of working at companies I wasn't a fit for (one way or another) I need that. A bsc. and msc. in computer science did not get me far in the resume screening round (hence the long search for almost 2 years).
I'd say that the one shortcoming is that making GUI apps is no walk through the park like it was in the VB days, or the tcl/tk days, but it is making significant strides in the form of Fyne, which is a great project with a charismatic team who is working toward making it pretty damn easy to make GUI apps in Go.
One of my latest interests has been using Go's web side to use the browser as my GUI, meaning you can write web apps with it and sweet jesus it's fast.
Just my 2 cents, hope you find your way with the new job.
If you are not familiar with any language in particular you shall check your priorities.
Dynamic languages like Perl, Ruby, Python and Lua are likely the most productive ones but it cannot handle complex math algorithms or business logic without a big performance penalty. Those languages are higher level layers over the C language. They are abstractions so they cannot compete. Those languages when compared to C will consume more ram, more CPU and longer code execution's time.
However many of the libraries of dynamic languages are written in C and wrapped for use in native Perl, Ruby, Python, Lua code to highly minimize the performance hit.
Java and C# are bloated and consume too much RAM, "OO obfuscation" may also be an issue. But after they have started up all the bloat they will perform very very well and have good productivity if you can deal with it.
C, C++ are the most performant but will take ages to get productive with it.
Rust is C++ in the functional paradigm.
Go is like C but slower. There is hype because concurrency is easier but most projects do not even have a legit reason to use concurrency.
For high performance desktop apps Delphi is the king of productivity.
I've found that it takes me longer to write code in Go than Python and the code is more verbose, but I have a very high rate of first-compile success. Compiler catches most errors I'm likely to make. I've written about 6 small services in Go now and 1 med / large sized one.
you hate your job so...you're quitting the industry, but you're still curious what people like to use for their API work?