Did you know that more developers are team players than loners? If you are like us, you probably love these kinds of facts. You can find more of these in our State of Developer Nation Report (SoN). This edition includes a chapter on Developer Psychographics. The SoN report comes as a result of our Developer Economics […]
The web echoes with cries for help with learning data science. “How do I get started?”. “Which are the must-know algorithms?”. “Can someone point me to best resources for deep learning?”. In response, a bustling ecosystem has sprung to life around learning resources of all shapes and sizes. Are the skills to unlock the deepest secrets of deep learning what emerging data scientists truly need though? Our research has consistently shown that only a minority of data scientists are in need of highly performing predictive models, while most would benefit from learning how to decide whether to build an algorithm or not and how to make sense of it, rather than how to actually build one.
Here are some of the most interesting insights from the latest State of the Developer Nation 15th edition, based on the data from 20,500+ developers in 167 countries, who took part in our Developer Economics survey in May-June this year. We reveal top skills developers want to learn in 2019, the most popular programming languages globally, and to how many developers are big data and real-time predictions relevant.
Welcome to the full rundown of the State of the Developer Nation Survey (November-December 2016) prize-draw winners. Below you’ll find a table comprised of both the email addresses and countries of all the people that won (the emails are obfuscated for security reasons).