Book Image

Learning Julia

By : Anshul Joshi, Rahul Lakhanpal
Book Image

Learning Julia

By: Anshul Joshi, Rahul Lakhanpal

Overview of this book

Julia is a highly appropriate language for scientific computing, but it comes with all the required capabilities of a general-purpose language. It allows us to achieve C/Fortran-like performance while maintaining the concise syntax of a scripting language such as Python. It is perfect for building high-performance and concurrent applications. From the basics of its syntax to learning built-in object types, this book covers it all. This book shows you how to write effective functions, reduce code redundancies, and improve code reuse. It will be helpful for new programmers who are starting out with Julia to explore its wide and ever-growing package ecosystem and also for experienced developers/statisticians/data scientists who want to add Julia to their skill-set. The book presents the fundamentals of programming in Julia and in-depth informative examples, using a step-by-step approach. You will be taken through concepts and examples such as doing simple mathematical operations, creating loops, metaprogramming, functions, collections, multiple dispatch, and so on. By the end of the book, you will be able to apply your skills in Julia to create and explore applications of any domain.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
8
Data Visualization and Graphics

Exception handling


While writing any code, what do we do if something breaks? One possible answer is to write fully correct code in one go, but that doesn't happen so often in the real world. Many a time, a developer ends up spending considerable amounts of time figuring out errors and later fixing them in code. But then, code that doesn't handle situations where it fails to handle the expected (or unexpected) errors can't be considered good code!

It is important to establish proper exception or error handling. This can be ensured by using Julia's built-in exception handling methods, which we will be discussing in this portion of the chapter.

Let's first see the basic difference between an error and an exception:

julia> println('hello world!')
ERROR: syntax: invalid character literal


# To get the following, press CTRL+C during the execution of the loop.
julia> for i in 1:100
           println(i)
       end
1
2
3
4
ERROR: InterruptException:
 in process_events(::Bool) at ./libuv.jl...