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Learning Julia

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

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781785883279

Length 316 pages

Edition 1st Edition

Languages

Julia

Concepts

Programming Language

Authors (2):

Anshul Joshi

Lakhanpal

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Chapter 2. Programming Concepts with Julia

In the previous chapter, we discussed how Julia is great for prototyping and performs almost as well as C. Julia caters to seasoned programmers and novices equally. Julia is designed in a way that someone who has just started with programming will be able to be up and running in a day with the help of REPL or Jupyter Notebook. It provides lots of features that are useful to data scientists, statisticians, and those working in the field of scientific computing.

Knowledge of other languages would make the reading enjoyable, but is not required. The reader will find that Julia is quite similar to MATLAB, Python, and R.

Julia’s version 1.0 is planned for release in a few months. Although there could be some changes by then, most of the concepts and code should be valid for that version.

In this chapter, the reader will go through the syntax, as well as one of the many ways to program in Julia. The following topics will be covered in this chapter:

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Authors (2)

Anshul Joshi

Anshul Joshi

Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests encompass deep learning, artificial intelligence, and computational physics. Most of the time, he can be caught exploring GitHub or trying anything new he can get his hands on. You can also follow his personal blog.

See other products by Anshul Joshi

Lakhanpal

Lakhanpal

Rahul Lakhanpal is a technology and open source enthusiast. With diversified skills including systems engineering, web development, the cloud, and big data, he is language-agnostic and a firm believer in using the best tools and the right language for a particular job. Rahul is an active contributor to various community portals and loves to solve challenging real-world problems in his leisure time. He is active on Twitter and writes blogs as well.

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