Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Rust

You're reading from   Learning Rust A comprehensive guide to writing Rust applications

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785884306
Length 308 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Vesa Kaihlavirta Vesa Kaihlavirta
Author Profile Icon Vesa Kaihlavirta
Vesa Kaihlavirta
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Introducing and Installing Rust FREE CHAPTER 2. Variables 3. Input and Output 4. Conditions, Recursion, and Loops 5. Remember, Remember 6. Creating Your Own Rust Applications 7. Matching and Structures 8. The Rust Application Lifetime 9. Introducing Generics, Impl, and Traits 10. Creating Your Own Crate 11. Concurrency in Rust 12. Now It's Your Turn! 13. The Standard Library 14. Foreign Function Interfaces

Project 1 - let's start with some math


Analyzing of data is very important, and knowing how to produce a straight-line relationship is often of great importance. You will need to construct a couple of functions that will work out something known as a linear regression analysis.

Requirements

The following is a brief list of requirements for our project:

  • Data will come from two vectors and will be floating point numbers
  • The answers will only be stored in main and displayed from there
  • The two vectors must have the same number of elements

Supplied data

The data required for this project is in the Chapter 6 folder, Projects/MathsData.txt. The content of the file should be used within the application (copy and paste). If the data sets do not have the same number of elements, remove elements from the end of the set with the larger number of elements.

Let's look at the math required:

  • The equation of a straight line:

The equation is very simple:

y = mx + c, where m is the gradient and c is the intercept on...

lock icon 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
Renews at $19.99/month. Cancel anytime