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How Programming Languages Differ Between Wealthy and Developing Countries
- chrisaycock 9y agoThe author concludes that wealthy countries have a lot more data science than the rest of the world (eg., R and the scientific Python stack). Further, platforms common in outsourcing are more common in developing nations (eg., PHP and Android).
- trapperkeeper74 9y agoI don't see how this blog article contains any scientific rigor by not doing any on-the-ground surveys in all these countries, but instead relies upon analytics from their own platform.
- MichaelMcG 9y agoThe conclusion summarized the findings as a topical analysis, more to find the "fun facts" as they look to dive deeper into the data internally. But I definitely believe there are too many factors within the data for a full understanding. Most likely a case of Correlation != Causation
- MichaelMcG 9y agoSeeing as how Linux and Bash are 19 & 24 for the higher income nations and not included within the rest of the world list, would you also group sysadmin roles as a wealthier country function? I have a limited understanding of the two in real-world application.
- csense 9y agoI think there may be some hysteresis effect going on here. If wealthy countries developed their tech industry sooner, you'd expect them to have a larger installed base of projects written using older technologies. This effect explains why Java, C and C++ rank higher in high-income countries. It also explains why Android ranks higher in the rest of the world -- I suspect in many places, people are leapfrogging PC's altogether, and a lot of people have a tablet or phone as their sole device.