Here are the winners of the Developer Economics survey Q4 2018 prize draw! Congratulations to all the lucky ones! Stay tuned for the new survey announcements and new prizes coming in Q2 2019.

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.

Have a look at this infographic about the Developer Economics: Developer Tools Benchmarking survey, check the numbers and you will be able to find out how it has come to be the most global developer survey.

In our latest report, App Economy Forecasts 2015 – 2017, we estimate the number of mobile developers in 2014 at 5.5 million. Demand for mobile development skills has never been higher and yet revenue from app store sales cannot possibly pay their salaries.