A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios
Key Features
Augment your basic computing skills with an in-depth introduction to Julia
Focus on topic-based approaches to scientific problems and visualisation
Build on prior knowledge of programming languages such as Python, R, or C/C++
Book Description
Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.
This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.
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