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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):

Rahul Lakhanpal

Anshul Joshi

View More author details

Table of Contents (11) Chapters

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

Revisiting programming paradigms

Before solving a problem, we should always try to understand where it came from, then break the problem into the steps that we will perform to solve it. We should make sure that we consider all the scenarios and the agents that will be involved in solving the problem.

The programming paradigm refers to the breaking up of the programming activity into a structure of thoughts. It is an approach towards a problem and the orientation of sub-tasks. Although a problem can be approached using different paradigms, one paradigm may be more suited to solving it than another.

There are many programming paradigms, so we will only be discussing a few of them here:

Imperative
Logical
Functional
Object-oriented

Understanding the programming paradigm is recommended, as one programming language may be more suited to one particular paradigm. For example, C is suited to imperative programming, Haskell is suited to functional programming, and Smalltalk is for object-oriented programming...

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Authors (2)

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

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.

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