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Julia 1.0 Programming Cookbook - Over 100 numerical and distributed computing recipes for your daily data science workflow (Paperback)
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Julia 1.0 Programming Cookbook - Over 100 numerical and distributed computing recipes for your daily data science workflow (Paperback)
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Discover the new features and widely used packages in Julia to
solve complex computational problems in your statistical
applications. Key Features Address the core problems of programming
in Julia with the most popular packages for common tasks Tackle
issues while working with Databases and Parallel data processing
with Julia Explore advanced features such as metaprogramming,
functional programming, and user defined types Book
DescriptionJulia, with its dynamic nature and high-performance,
provides comparatively minimal time for the development of
computational models with easy-to-maintain computational code. This
book will be your solution-based guide as it will take you through
different programming aspects with Julia. Starting with the new
features of Julia 1.0, each recipe addresses a specific problem,
providing a solution and explaining how it works. You will work
with the powerful Julia tools and data structures along with the
most popular Julia packages. You will learn 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 will see how to optimize data
science programs with parallel computing and memory allocation. 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 on 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 acquired the skills to
work more effectively with your data What you will learn Boost your
code's performance using Julia's unique features Organize data in
to fundamental types of collections: arrays and dictionaries
Organize data science processes within Julia and solve related
problems Scale Julia computations with cloud computing Write data
to IO streams with Julia and handle web transfer Define your own
immutable and mutable types Speed up the development process using
metaprogramming Who this book is forThis book is for developers who
would like to enhance their Julia programming skills and would like
to get some quick solutions to their common programming problems.
Basic Julia programming knowledge is assumed.
General
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