The Julia programming language, with its dynamic nature and high performance, reduces the time that needs to be taken for the development of computational models with easy-to-maintain computational code. Julia 1.0 Programming Cookbook will be your solution-based guide, and will take you through different programming aspects with Julia.
Starting with the new features of Julia 1.0, each recipe addresses a specific problem, along with a discussion that explains the solution and offers insight into how it works. You will work with the powerful Julia tools and data structures, along with the most popular Julia packages. You will learn how to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You'll see how to optimize data science programs with parallel computing and memory allocation. Moving forward, we will look into more advanced concepts, such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia.
By the end of the book, you will have the skills you need to work more effectively with your data.
