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Julia Programming Projects

You're reading from   Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788292740
Length 500 pages
Edition 1st Edition
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Author (1):
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Adrian Salceanu Adrian Salceanu
Author Profile Icon Adrian Salceanu
Adrian Salceanu
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Julia Programming FREE CHAPTER 2. Creating Our First Julia App 3. Setting Up the Wiki Game 4. Building the Wiki Game Web Crawler 5. Adding a Web UI for the Wiki Game 6. Implementing Recommender Systems with Julia 7. Machine Learning for Recommender Systems 8. Leveraging Unsupervised Learning Techniques 9. Working with Dates, Times, and Time Series 10. Time Series Forecasting 11. Creating Julia Packages 12. Other Books You May Enjoy

Using the HTTP response


Armed with a good understanding of Julia's dictionary data structure, we can now take a closer look at the headers property of resp, our HTTP response object.

To make it easier to access the various headers, first let's convert the array of Pair to a Dict:

julia> headers = Dict(resp.headers) 
Dict{SubString{String},SubString{String}} with 23 entries: 
"Connection"     => "keep-alive" 
  "Via"          => "1.1 varnish (Varnish/5.1), 1.1 varnish (Varni... 
  "X-Analytics"  => "ns=0;page_id=38455554;https=1;nocookies=1" 
#... output truncated... #

We can check the Content-Length value to determine whether or not we have a response body. If it's larger than 0, that means we got back a HTML message:

julia> headers["Content-Length"] 
"193324"

It's important to remember that all the values in the headers dictionary are strings, so we can't go comparing them straight away:

julia> headers["Content-Length"] > 0 
ERROR: MethodError: no method matching isless(...
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