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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

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...
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