The Julia programming language has brought an innovative new approach to scientific computing, promising a combination of performance and productivity that is not usually available in the current set of languages that is commonly used. In solving the two-language problem, it has seen tremendous growth both in academia and industry. It has been used in domains from robotics, astronomy, and physics, to insurance and trading. It has particular relevance in the area of machine learning, with increasing use for the emerging field of differentiable computing.
Most new developers are attracted to the language due to its promise of high performance. This book shows you how and why that is possible. We talk about the design choices of the language's creators that allow such a high-performance compiler to be built. We also show you the steps that you, as an application developer, can take to ensure the highest possible performance for your code. We also tell you the ways in which your code can work with the compiler and runtime to fully utilize your hardware to the greatest extent possible.