Packt+ | Advance your knowledge in tech

0

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

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

Summary

In this chapter, we saw how Julia provides a set of very advanced and feature-rich libraries to accomplish the mammoth task of effectively doing data visualization. In the starting section, we got to know how PyPlots work and how we can make simple graphical plotting using the package. However, in the later sections of the chapter, we went into detail about the two most popular libraries in Julia, namely Vega.jl and Gadfly.jl.

We will now be shifting our focus, and in the next chapter, we will discuss how to use a database in Julia and what packages, as well as database bindings, are available to help us accomplish the task.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime

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.

See other products by Lakhanpal

Other recommended products

Related to this chapter

Julia 1.0 High Performance

Julia 1.0 High Performance

Julia is a high-level, high-performance dynamic programming language for numerical computing. This book will help you understand the performance characteristics of your Julia programs and achieve near-C levels of performance in Julia.

Jun 2019 7h 16m

Julia 1.0 Programming

Julia 1.0 Programming

Julia is a new open-source programming language that is used in the field of data science computing. It was created to solve the dilemma between high-level slow code and fast (but low-level) code, and the necessity to use both to achieve high performance. This book covers all you need to know about Julia to leverage its high speed and efficiency.

Sep 2018 6h 32m

Julia 1.0 Programming Cookbook

Julia 1.0 Programming Cookbook

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-tomaintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.

Nov 2018 15h 20m

Julia Programming Projects

Julia Programming Projects

Julia offers a unique combination of performance and productivity and promises to change scientific computing as well as generic programming. It has C-like execution speed with excellent applications in multi-core, GPU, and cloud computing. Julia Programming Projects explains all this with the support of Julia v1.0.

Dec 2018 16h 40m

Hands-On Design Patterns and Best Practices with Julia

Hands-On Design Patterns and Best Practices with Julia

Design patterns are fundamental techniques for developing reusable and maintainable code. This book presents many practical design patterns and related techniques for developing Julia applications. By the end of the book, you will be comfortable with implementing design patterns to create robust, reusable, and easily maintainable applications.

Jan 2020 17h 44m

Learning Jupyter 5

Learning Jupyter 5

In this book, you will learn how to build interactive dashboards in a Jupyter notebook. Explore JupyterHub and various Jupyter widgets through which you can easily perform 3D data visualization, 3D plotting, and geospatial analytics. This book helps you understand BeakerX to create interactive tables and interact with spreadsheets.

Aug 2018 9h 24m

Personalised recommendations for you

Based on your interests and search pattern

LLVM Code Generation

LLVM Code Generation

LLVM is a key technology for building modern compilers. You'll learn how to use its infrastructure to create and extend backends (X86 and AArch64), and contribute to the LLVM open-source project, equipping you with key skills in compiler design.

May 2025 20h 40m

Domain-Driven Refactoring

Domain-Driven Refactoring

This book is your exhaustive guide to applying DDD practices for building robust applications. You'll learn key patterns, refine business logic, and solve real-world problems with DDD principles, refactoring, and event-driven architectures.

May 2025 10h 48m

The Power Platform Playbook for Digital Transformation

The Power Platform Playbook for Digital Transformation

Transform your business with Power Apps, Power Automate, Power BI, and Copilot Studio. This guide covers automation, AI insights, governance, and security, helping leaders, IT pros, and analysts build scalable, low-code enterprise solutions.

Apr 2025 11h 44m

Microservices with Go

Microservices with Go

The book covers Go microservice development, covering the basics for beginners and best practices for structuring Go apps. Novice as well seasoned developers will gain insights into managing and scaling microservices.

Jun 2025 14h 16m