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

Understanding the approach

In order to better understand what we are going to build, we need to learn a little bit about neural networks – how they work and what are they built of. We will not dive deep into the details of how some big neural networks work internally as this is beyond the scope of this book. We will only cover topics that are essential for understanding the approach in our particular case.

Brief introduction to neural networks

For many people, AI seems to be an exciting new technology. However, the truth is that it was invented decades ago (the whole subject of deep learning dates back to the 1940s) and it simply became more popular in the 21st century. The reason is that today, unlike in the past, we have very powerful computers and zillions of gigabytes of data that can be fed into the neural nets in order to train them properly. This is why this concept has become so popular in the last decade or two.

Neural networks are mathematical structures that...