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Learning Julia
Learning Julia

Learning Julia: Build high-performance applications for scientific computing

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Profile Icon Anshul Joshi Profile Icon Lakhanpal
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R$50 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (2 Ratings)
Paperback Nov 2017 316 pages 1st Edition
eBook
R$80 R$218.99
Paperback
R$272.99
Subscription
Free Trial
Renews at R$50p/m
Arrow left icon
Profile Icon Anshul Joshi Profile Icon Lakhanpal
Arrow right icon
R$50 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (2 Ratings)
Paperback Nov 2017 316 pages 1st Edition
eBook
R$80 R$218.99
Paperback
R$272.99
Subscription
Free Trial
Renews at R$50p/m
eBook
R$80 R$218.99
Paperback
R$272.99
Subscription
Free Trial
Renews at R$50p/m

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Learning Julia

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Key benefits

  • Set up Julia's environment and start building simple programs
  • Explore the technical aspects of Julia and its potential when it comes to speed and data processing
  • Write efficient and high-quality code in Julia

Description

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.

Who is this book for?

This book allows existing programmers, statisticians and data scientists to learn the Julia and take its advantage while building applications with complex numerical and scientific computations. Basic knowledge of mathematics is needed to understand the various methods that will be used or created in the book to exploit the capabilities for which Julia is made.

What you will learn

  • Understand Julia s ecosystem and create simple programs
  • Master the type system and create your own types in Julia
  • Understand Julia s type system, annotations, and conversions
  • Define functions and understand meta-programming and multiple dispatch
  • Create graphics and data visualizations using Julia
  • Build programs capable of networking and parallel computation
  • Develop real-world applications and use connections for RDBMS and NoSQL
  • Learn to interact with other programming languages–C and Python—using Julia

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 24, 2017
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781785883279
Category :
Languages :

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Product Details

Publication date : Nov 24, 2017
Length: 316 pages
Edition : 1st
Language : English
ISBN-13 : 9781785883279
Category :
Languages :

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Frequently bought together


Stars icon
Total R$ 1,137.97
Learning Julia
R$272.99
Julia for Data Science
R$306.99
Julia: High Performance Programming
R$557.99
Total R$ 1,137.97 Stars icon

Table of Contents

10 Chapters
Understanding Julia's Ecosystem Chevron down icon Chevron up icon
Programming Concepts with Julia Chevron down icon Chevron up icon
Functions in Julia Chevron down icon Chevron up icon
Understanding Types and Dispatch Chevron down icon Chevron up icon
Working with Control Flow Chevron down icon Chevron up icon
Interoperability and Metaprogramming Chevron down icon Chevron up icon
Numerical and Scientific Computation with Julia Chevron down icon Chevron up icon
Data Visualization and Graphics Chevron down icon Chevron up icon
Connecting with Databases Chevron down icon Chevron up icon
Julia’s Internals Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(2 Ratings)
5 star 50%
4 star 0%
3 star 0%
2 star 0%
1 star 50%
Abhay Aggarwal Dec 12, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Here's a dirty little secret... Programmers love Julia! Only now, the rest of the world is discovering it....I heard about Julia recently from my programming friends, and was intrigued by the claimed possibilities. I thought of it more as marketing hyperbole, since the language is relatively new, and only now gaining traction. I picked this book over the weekend, and went through it, dipping my toes into the Julia world.The book is nicely laid out, introducing you to the origins of Julia, and straightaway taking you into starting with & using Julia. It then walks you through the syntax, operations, structures, operations, and more. Since Julia is primarily used in the field of data science, it has enough content & knowledge to keep the experts happy on harnessing Julia to aid them in their analysis.Overall, I liked the following:1) Structure & detailed layout of the book2) Good intro to engage new users of Julia3) Open source callouts at every turn4) Deep dive content for people who have already been using Julia before5) Conciseness & nice examples to get your hands dirty on actual codeBottomline: This book has enough content to induce new programmers to try out Julia, while keeping current Julia users engaged with stuff they might not know! I recommend it heartily.
Amazon Verified review Amazon
Randy Ford Feb 17, 2018
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
What poorly written book! Bad grammar, filled with jargon, and even though it has been out for 4 months, the example code isn't up yet. I am pretty sure that the 3 five star reviews were written by friends.
Amazon Verified review Amazon
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