Software development is a dynamic field. This has always meant that it’s essential for developers to take an active approach, and stay on top of changes. And that, in turn, means that the best developers tend to have reliable ways of keeping themselves productive.
Working and performing during a pandemic is an experience that will undoubtedly leave deep marks behind, both financially and psychologically speaking. We asked developers which to technical and non-technical needs the pandemic has created for their own development activities. 73% of developers reported having additional needs due to COVID-19. 7.2 million developers expressed their need for flexible working hours/workload.
Virtual Reality (VR) and Augmented Reality (AR) have been on the cusp of widespread adoption for many years now, but technical and commercial hurdles have impeded this process. For VR at least, it seems that 2020 could be the year when the technology goes truly mainstream
When you look around your classroom or office (mobile office at a coffee shop counts too), what do you see? Do you see mostly guy coders in t-shits and hoodies or is there a healthy mix of both male and female developers? Hopefully it’s the latter. But that often isn’t the case in many developer […]
Thanks to all of you who took part in our Q2 2020 Developer Economics survey! Your responses make a difference and contribute to the developer ecosystem. We’re super excited as it is now time to announce the full list of our developer prizes and their winners! Developers who take our surveys earn 100 points for […]
Derek Lee Boire, Senior Member of Technical Staff at VMware Pivotal Labs, addresses common developer frustrations, such as decision fatigue, and the tools and methods to overcome them.
Deep learning is typically a long and costly endeavour, especially when it comes to training models. There are many factors that impact the process, but processing power, in particular, can make or break your pipeline. Today, many developers leverage graphics processing units (GPUs). Learn how you can scale up deep learning in the cloud.