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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

Working with data

There are various ways and sources from which we can get data. We can get data directly from the user through the Terminal or using a script or from a source file (which can either be a binary file or structured files like CSV or XML files). To see how Julia accepts data from the user from any of these resources, let's dive right into these ways one by one.

When starting to play with data for the very first time, it's obvious to use the Julia REPL or a notebook environment such as the IJulia notebook. Now, Julia understands every incoming bit of data in a byte stream. So if we try to use the regular built-in functions such as read() and write(), they will basically be oriented toward a binary I/O. Let's see a simple example of a read() operation in action:

# usage of read with Char
julia> read(STDIN, Char)
j
'j&apos...
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