Several people have asked me recently about what language they should learn first. This article is intended to be a single point of reference for all those conversations, as well as sparking input from other people who know about the subject.
My answer is usually:
- Salary differences between languages are small enough that you should care more about other aspects of the process (e.g. if the boot camp makes guarantees about you getting a job) more than the specific language, but
- Front-end (developing things that the user sees) pays less than backend
- Keep standard 80,000 Hours advice in mind, like that it's better to explore many options in the beginning of your career than optimize for just one
More Detail
Below is a table of programming language popularity (taken from TIOBE) along with data from two salary surveys. You can see that the variance within one language across the different surveys is about the same as the difference across languages within one survey (119 vs. 131/76), which indicates that geographic factors, company size/type, years of experience etc. are probably more of a concern than the specific language. This fits with my anecdotal experience.
The argument for backend development is mostly due to oversupply of front-end developers: there are a lot of graphic designers, artists etc. who learn a little bit of HTML and JavaScript so that they can get a job doing front-end. There’s also some evidence that backend developers get paid more.
The second programming language you learn will be vastly easier than the first, and most developers will switch between languages throughout their career, so you should not feel that this first choice is locking you in.
I've bolded the ones which are most commonly taught as a "first language".
Popularity Rank | Programming Language | Relative popularity | Average salary (Compass survey) (in $thousands) | Average salary (Quartz survey) (in $thousands) |
1 | C | 16.64% | 100 | 90 |
2 | Java | 15.58% | 90 | 95 |
3 | Objective-C | 6.69% | 108 | |
4 | C++ | 6.64% | 110 | 94 |
5 | C# | 4.92% | 92 | 89 |
6 | PHP | 4.00% | 76 | |
7 | JavaScript | 3.63% | 78 | 91 |
8 | Python | 2.61% | 102 | 101 |
9 | Visual Basic .NET | 2.33% | ||
10 | Visual Basic | 1.95% | 86 | |
11 | F# | 1.51% | ||
12 | Perl | 1.33% | 82 | |
13 | Delphi/Object Pascal | 1.15% | ||
14 | Transact-SQL | 1.15% | 80 | 86 |
15 | Pascal | 1.09% | ||
16 | ABAP | 1.08% | ||
17 | PL/SQL | 1.03% | 80 | 86 |
18 | Ruby | 1.03% | 90 | 109 |
19 | MATLAB | 1.00% | ||
20 | R | 0.95% | 90 |
Matt Gibb sent around the following on the 80k alumni list, and said I could pass it on - thought people reading this post might be interested: "A couple of people have asked for recommendations on the quickest way to learn. I have a limited perspective, but I have spent the last 8 years developing, have attended one bootcamp (Insight Data Science), which was per unit time the single most valuable educational experience I have ever had, and I have been able to visit many of the top bootcamps in the Bay: HackReactor, AppAcademy, Hackbright, Makersquare etc. I know many of the founders personally and/or have taken investment from them. Anyway, here's my 2 cents that I believe will be helpful, based on what I have seen work. Take it with a hefty pinch of salt.
After the above:
I have found codeschool.com really helpful, but I know there are many other great resources out there which I haven't played with.
I would recommend going to a (well-regarded) bootcamp over self study, because you will make progress at about 3 times the rate for a few reasons:
Learning to code will allow you to do all these things. Coincidentally, part of my PhD was in in image segmentation/registration, I am building a real-time Dutch auction now to drive down costs for students, and the solutions/skills required are much closer to web dev than you might think. Don't worry just get started :)"