Book Image

Learn Bosque Programming

By : Sebastian Kaczmarek, Joel Ibaceta
Book Image

Learn Bosque Programming

By: Sebastian Kaczmarek, Joel Ibaceta

Overview of this book

Bosque is a new high-level programming language inspired by the impact of structured programming in the 1970s. It adopts the TypeScript syntax and ML semantics and is designed for writing code that is easy to reason about for humans and machines. With this book, you'll understand how Bosque supports high productivity and cloud-first development by removing sources of accidental complexity and introducing novel features. This short book covers all the language features that you need to know to work with Bosque programming. You'll learn about basic data types, variables, functions, operators, statements, and expressions in Bosque and become familiar with advanced features such as typed strings, bulk algebraic data operations, namespace declarations, and concept and entity declarations. This Bosque book provides a complete language reference for learning to program with Bosque and understanding the regularized programming paradigm. You'll also explore real-world examples that will help you to reinforce the knowledge you've acquired. Additionally, you'll discover more advanced topics such as the Bosque project structure and contributing to the project. By the end of this book, you'll have learned how to configure the Bosque environment and build better and reliable software with this exciting new open-source language.
Table of Contents (22 chapters)
1
Section 1: Introduction
5
Section 2: The Bosque Language Overview
10
Section 3: Practicing Bosque
15
Section 4: Exploring Advanced Features

Chapter 11: Project: AI Classifier

One of Bosque's main goals was to support easy reasoning for machines. Its IR language is designed in such a way that facilitates in-depth automated code analysis and therefore creates a space for inventing new, next-level development tools or compilers. When we read about this, presumably one of the first thoughts that comes to mind is that Bosque will be used or analyzed by some kind of AI-powered systems. So, if Bosque is designed to be – in some way – close to the AI world, I think it's a good idea to try it in a project that employs machine learning.

In this chapter, we will utilize the features that we have learned so far and build a simple AI project. The idea is to create a basic classifier that predicts an output based on two input values. In this example, we will try to train our model so that it will be able to tell which quadrant of the Cartesian coordinate system a point belongs to just by looking at the X and...