Gain insights into Rust for real-world data, delving into data input, storage, analysis, and visualization. Explore web scraping, SQL, NoSQL databases, and machine learning with Rust.

rust-data-0.1.18.tar.gz

rust-basic

rust-basic-live

rust-basic-live-copy

Rust is a fast-growing, modern programming language oriented to system programming that guarantees memory and thread safety. It enables you to eliminate many classes of bugs at compile-time. This course covers all the skills needed to work with real-world data using Rust. 

In this course, you’ll learn all the basics of intermediate Rust programming. You’ll discover and master the five data-related skills: data input, storage, serving data, analyzing data, and data visualization. You’ll learn to ingest data from various formats, like CSV, JSON, web APIs, and web scraping. You’ll also learn to store the data using Redis, an SQL server, or a NoSQL database like MongoDB. Finally, you will learn how to present your data in meaningful visualizations, web maps, and reports. 

After taking this course, you’ll be able to approach data using Rust with confidence. You’ll be able to manage SQLite, ORM SQL, and NoSQL databases in Rust. You’ll learn the basics of web scraping, data analysis, and machine learning in Rust.

Processing Real-world Data Efficiently with Rust

# Web APIs

One of the staples of current web programming practices is a tendency to avoid monoliths in favor of small services, putting each one in charge of performing just one type of operation.

These servers have to communicate with each other through public APIs. Moreover, they typically use JSON to exchange data.

Therefore, to talk to any service, we need to know the following information:


- The API signature, which endpoint to poll, how to poll, what are they expecting in terms of body content, headers, HTTP methods, and so on.
- How to map the response to a custom struct so that we can access the data in our program.
- Server authorization and/or keys, especially if the servers have a cap on daily or monthly requests, or if their services involve a subscription of any kind.

The following sections are all examples of accessing web services with Rust.


# CRUD database API

In the following examples, we use a dummy mock server that lets us test a CRUD approach to APIs.

CRUD stands for:

- Create: Creating a new record. This is usually achieved with a `POST` HTTP method.
- Read: Reading one or many records. This is usually achieved with a `GET` HTTP method.
- Update: Updating data for a record. This is usually achieved with a `PUT` HTTP method, although some APIs use the `UPDATE` method instead.
- Delete: Deleting a record. This is usually achieved with a `DELETE` HTTP method.



Before We Begin

Rust Data Structures

Rust Data Structures

Basics of Functional Programming

Functional Programming in Rust

Data Skill: Input Data

Input Data with Rust

Web Scraping: Getting Products and Prices from an E-commerce Site

Data Skill: Store Data

Storing Data in Rust

Create a Simple Payroll Management System

Data Skill: Serve Data

Serving Data in Rust

Build a Server Backed Up by a Database

Data Skill: Analyze Data

Assessment on Analyze Data

ML Basics: Classification of the Iris Data Set

Machine Learning and the MNIST Digit DataSet

Data Skill: Dataviz and Storytelling

Data Viz and Storytelling in Rust

Create Infographics in Rust

Some Parting Words

Poll Data Services through APIs