Conferences are the best place to share your passions and get a great booster in trends, knowledge & even hacks. Here is a roundup of developer conferences taking place in 2019 globally.

The latest Developer Economics survey is now live, ready to measure the pulse of the developer ecosystem, helping the world understand developers and vice versa. We are calling all developers to shape the future of software development. Here are a few facts about our developer surveys: This is the 17th edition of the semi-annual Developer […]

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.

In our latest installment of Dev Evolution interviews, we talked with AndroidPal on how their tool creates value for developers and what technologies they are using to create their tool.

From the 3,000 developers involved in ML or DS we saw that 43% of them use PyTorch or Tensorflow.
This 43% is not equally distributed between the two frameworks. Tensorflow is 3.4 times bigger than PyTorch. A total of 86% of ML developers and data scientists, said they are currently using Tensorflow, while only 11%, were using PyTorch.

I worked in the smartphone industry before it came of age. Our mission was “a smartphone in every pocket” at a time when simple feature phones like the Motorola RAZR were the must-have communications device. Within a few years of our early projects, the competitor, Apple, launched the iPhone. The rest is history. The App Store opened its doors, the stars aligned, the technology dream was realised and smartphones went on to rule the world.

When developers evaluate new technologies, one of the elements they often look at is the size and strength of the community surrounding that technology. “Can I get help and support from peers when needed?” It’s one of the reasons why open source technologies tend to be so popular. Conversely, technology vendors regularly signal their virtue with community numbers: “Our product is used by millions of developers, choose us!”

Social good has many forms and thankfully there are several resources in the tech arena to support people and projects that most of us have not thought to do. We approached our two non-profit media partners whose support we had during our previous Developer Economics survey (Q2 2018) to answer a few questions about their work and give us a peek at not-for-profit activities in tech, from their perspective. Introducing James Sugrue, co-Founder of donate:code and Aggelina Mila, coordinating Business Development at Social Hackers Academy.

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.