Ruby devs build more web apps and Python devs do more systems dev and data crunching. Not exactly a groundbreaking revelation knowing that Python has much more in the way of bindings for C/C++ and Fortran libraries for statistical / math routines, but still interesting to see this reconfirmed.
My understanding was that before Rails, Ruby was considered primarily a language used for mathematics. Anecdotally, it does seem that I see a lot of stories about using python for statistics, but I haven't seen any hard numbers one way or the other.
Python seems to also have a lot of web implementations. I'm not sure where you are getting your numbers from.
> The skills and time load sections both re-inforce that Python is more heavily linked to Data Science than Ruby. Ruby is more of a web technology with strong affinity to front-end technologies and iOS.
I would have expected the C/C++/Linux people to have higher seniority than the CSS/CoffeeScript/Node.js people. Can anybody explain this? Is it that they work in two different industries (i.e., they both build web apps, but the Python ones are heavier on the number crunching side)?
The seniority level was gathered by asking each person the seniority they would like in their next job. This suggests that it is more common for people working with Ruby to think of picture themselves in a higher seniority role than their Python counterparts. It is not an actual reflection of their current level.
Also it is completely subjective - Your definition of C/C++/Linux people being more senior to CSS/CoffeeScript/Node.js people is your point of view - other people's views may be different.
> It is not an actual reflection of their current level.
I know. I meant to say "have a higher seniority in the graph." I assume the sample size was big enough to handle shy Pythonistas and/or overly-confident Ruby devs. :P
> Your definition of C/C++/Linux people being more senior [...]
My personal experience is that somebody who doesn't know C/C++ and some UNIX basics is going to write worse code on average. (Settle down.) My personal experience probably isn't representative of anything (I'm a graphics programmer), but I think it shows in the web dev world as well. Puma for example (a Ruby web server I know virtually nothing about) is crazy fast because the guy who wrote it knows about fork and signals. Another example is Bluebird (JS promises lib), which only became popular because the guy who wrote it knows how compilers work.
Seniority and titles are also majorly influenced by company size. Years ago I worked as systems administrator at a larger company. I had a friend of mine who did very similar work at a very small company. We earned basically the same, were in basically the same industry, did basically the same work and for all intents and purposes had the same responsibility. My title was Systems Administrator and his was Chief Technical Officer.
Being the lead developer at a 2 month old 3 man web shop is very different from being lead developer on Microsoft Windows.
Great point. Seniority and job title vary greatly based on company size. One of the things I would always find so odd. I'd speak to friends at larger companies with the same title as me, Software Engineer, and the way they spent their time would be so different - hence why we like to think about work differently - currently in Workshapes.
Are Rubyists significantly less likely to have database skills than those who have made a profession out of Python programming?
The secondary skills chart seems to indicate this (at least for Workshape sample set). If so, is this the result of 10 years of working with an abstraction layer in Rails? Is it simply because Rails developers have a different focus?
The Average Workshops vis seems to indicate this slightly, but not nearly as much as the premise would indicate.
The Secondary skills distribution chart seems the most interesting to me -- it seems to indicate that Python users are more interested in other programming languages and general Computer Science (C++/Java, Unix, machine learning), while Ruby users are more likely to be focused on app/web dev (CSS, Coffeescript, Objective-C). This makes sense given Rails' popularity and libraries like scikit-learn, numpy, etc.
This is a fair criticism. As we build up a larger data set we hope that more value can be attached to the it and the insights be more indicative of the community. Until then we are just interested to share what we are currently finding with the new primary data we have collected.
We could definitely do with a statistician to help us out and minimise any selection bias, but i think that comes when we increase the amount in our data set by another order of magnitude or two. :)
Unrelated to the article itself, but I have an ongoing issue with Workshape that I'm wondering if anyone else has.
I've currently got a 97 "match" with a position there, but I still get "There are currently no matches for your desired role". Does anyone else have this? Am I doing something wrong?
Hey. Apologies for the bad UX here. You are currently seeing the unmatched screen. The reason for this is most likely that your desired location does not match that of the position. I'll have a look into it though to confirm whether this is the case. If you want to get back to me so we can talk about it more then email me at gordon[at]workshape.io.
In the future we will be updating the experience for users who do not get matches according to their profile. We currently show the closest matches, which I can imagine being frustrating. Instead we are thinking of surfacing insights from our data set based on your input. So, similar to this article, we'd give insights relevant to you about opportunities in the area.
Interesting. A good addition would be to see your geographic data (I remember saying where I wanted to work). I wonder if either are more popular in certain geographies or not.
