Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Getting Started with V Programming
  • Toc
  • feedback
Getting Started with V Programming

Getting Started with V Programming

By : Pavan Kumar Rao
4.4 (16)
close
Getting Started with V Programming

Getting Started with V Programming

4.4 (16)
By: Pavan Kumar Rao

Overview of this book

A new language on the block, V comes with a promising set of features such as fast compilation and interoperability with other programming languages. This is the first book on the V programming language, packed with concise information and a walkthrough of all the features you need to know to get started with the language. The book begins by covering the fundamentals to help you learn about the basic features of V and the suite of built-in libraries available within the V ecosystem. You'll become familiar with primitive data types, declaring variables, arrays, and maps. In addition to basic programming, you'll develop a solid understanding of the building blocks of programming, including functions, structs, and modules in the V programming language. As you advance through the chapters, you'll learn how to implement concurrency in V Programming, and finally learn how to write test cases for functions. This book takes you through an end-to-end project that will guide you to build fast and maintainable RESTful microservices by leveraging the power of V and its built-in libraries. By the end of this V programming book, you'll be well-versed with the V programming language and be able to start writing your own programs and applications.
Table of Contents (19 chapters)
close
1
Section 1: Introduction to the V Programming Language
4
Section 2: Basics of V Programming
12
Section 3: Advanced Concepts in V Programming

Understanding parallelism

Although the words concurrency and parallelism are used interchangeably in the general sense, they differ slightly when it comes to the world of computers. Both of them are used to speed up things. However, concurrency focuses on multiple independent tasks to be finished in the least possible time. In contrast to concurrency, parallelism focuses on splitting one single task into multiple resources to speed up finishing a particular job. The concept of parallelism is huge, and it could take a full chapter to explain it. For this chapter, we will keep things simple and concise in this section and try to understand a use case of parallelism by looking at a simple but intuitive real-world example.

Consider that you have a tank with a capacity of 1,000 liters where you store water to use for your farmland. You have an electrical motor pump that pulls water up from the ground and fills the tank at a rate of 10 liters per minute. To fill the empty tank using a...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete