Mastering Julia - Second Edition

This is the code repository for Mastering Julia - Second Edition, published by Packt.

What is this book about?

The first edition of this book was written when Julia was then relatively new (v0.4.0) and many changes and additions have been made in the subsequent years and this edition brings it up to date (viz v1.9.x)

The book covers the same recipe of introducing features in the opening chapters before focussing on individual topics such as: scientific programming, graphics, machine learning etc.

It assumes you already have some basic working knowledge of a high-level language such as MATLAB, R, Python and Javascript.

This book covers the (some of) following features:

• Install Julia, setup the environment and add various packages.
• Develop own types to extend the built-in type system
• Explore, use and create macros.
• Integrate Julia with other languages such as C, Python, and Perl.
• Process data sets and apply statistical analysis.
• Apply scientific programming techniques to solution of dynamic systems, optimisation etc.
• Visualise your data in Julia with plotting packages.
• Interface with SQL and NoSQL databases.
• Examine Julia's approach to Bayesian methods and machine learning.

Instructions and Navigations

All of the code is organised into folders.

For example from the first chapter.

function basel(M::Integer)
  @assert M > 0
  s = 0.0
  for i = 1:M
    s += 1.0/float(i)^2
  end
  return s
end
@show(basel(10^6));
basel(10^6) = 1.6449330668487

Software List

With the following software you can run all code files present in the book (Chapter 1-12).

Chapter	Software Required	Operating System
All	Julia v1.9.x	Windows, Linux, macOS

Julia's Resources

Homepage: https://julialang.org Binaries: https://julialang.org/downloads/ Source code: https://github.com/JuliaLang/julia Documentation: https://docs.julialang.org Packages: https://julialang.org/packages/ Discussion forum: https://discourse.julialang.org

Get to Know the Author

Malcolm Sherrington ...