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Julia Cookbook
Julia Cookbook

Julia Cookbook: Over 40 recipes to get you up and running with programming using Julia

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Profile Icon Raj R Jalem Profile Icon Rohit
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Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.3 (3 Ratings)
Paperback Sep 2016 172 pages 1st Edition
eBook
Mex$648.99 Mex$721.99
Paperback
Mex$902.99
Subscription
Free Trial
Arrow left icon
Profile Icon Raj R Jalem Profile Icon Rohit
Arrow right icon
Free Trial
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.3 (3 Ratings)
Paperback Sep 2016 172 pages 1st Edition
eBook
Mex$648.99 Mex$721.99
Paperback
Mex$902.99
Subscription
Free Trial
eBook
Mex$648.99 Mex$721.99
Paperback
Mex$902.99
Subscription
Free Trial

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Table of content icon View table of contents Preview book icon Preview Book

Julia Cookbook

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Key benefits

  • Follow a practical approach to learn Julia programming the easy way
  • Get an extensive coverage of Julia’s packages for statistical analysis
  • This recipe-based approach will help you get familiar with the key concepts in Julia

Description

Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.

Who is this book for?

This book is for data scientists and data analysts who are familiar with the basics of the Julia language. Prior experience of working with high-level languages such as MATLAB, Python, R, or Ruby is expected.

What you will learn

  • Extract and handle your data with Julia
  • Uncover the concepts of metaprogramming in Julia
  • Conduct statistical analysis with StatsBase.jl and Distributions.jl
  • Build your data science models
  • Find out how to visualize your data with Gadfly
  • Explore big data concepts in Julia

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 30, 2016
Length: 172 pages
Edition : 1st
Language : English
ISBN-13 : 9781785882012
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Concepts :

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Product Details

Publication date : Sep 30, 2016
Length: 172 pages
Edition : 1st
Language : English
ISBN-13 : 9781785882012
Category :
Languages :
Concepts :

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Table of Contents

6 Chapters
1. Extracting and Handling Data Chevron down icon Chevron up icon
2. Metaprogramming Chevron down icon Chevron up icon
3. Statistics with Julia Chevron down icon Chevron up icon
4. Building Data Science Models Chevron down icon Chevron up icon
5. Working with Visualizations Chevron down icon Chevron up icon
6. Parallel Computing Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.3
(3 Ratings)
5 star 0%
4 star 0%
3 star 66.7%
2 star 0%
1 star 33.3%
Kindle Customer Mar 02, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
If you don't know the language and/or have minimal programming experience, this could be a good resource. If you're looking for the definitive 'Advanced Julia Developer's Guide', look elsewhere (and please let me know if you find it)...
Amazon Verified review Amazon
MSE fanatic Feb 10, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
I bought this book because I wanted to extend my Julia knowledge and capabilities. The book is fairly good, it covers a lot of data sciences related Julia packages and examples on how to do trivial tasks like reading files or performing an analysis of data. However, I was hoping since the book is titled as being a cookbook, there would be more examples of best methods for programming algorithms in Julia. I was anticipating a book more like a short numerical recipes book in Julia. Also, if the price for the printed version was around $15-20, I would have given this 4-stars.
Amazon Verified review Amazon
KarEl BrightShooster Feb 05, 2017
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Im Grunde kann man die Inhalte des Buches in den help-pages von julia-lang nachlesen, das ist zu wenig Mehrwert in diesem Buch
Amazon Verified review Amazon
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