Security Tokens and Stablecoins Quick Start Guide (Packt)
Wednesday, 22 May 2019

Subtitled "Learn how to build STO and stablecoin decentralized applications", this book is a guide to understanding, developing, and testing popular security-token smart contracts. Authors Weimin Sun, Xun (Brian) Wu, and Angela Kwok cover key Blockchain and Ethereum platforms concepts. The book includes a step-by-step guide to developing STO smart contracts on Ethereum, and covers how to monetize digital tokens under various U.S. securities laws.

 

Authors: Weimin Sun, Xun (Brian) Wu, and Angela Kwok
Publisher: Packt
Date: April 2019
Pages: 234
ISBN: 978-1838551063
Print: 1838551069
Kindle: : B07RF4SJ13
Audience: blockchain developers
Level: Intermediate
Category: Security

 

  • Understand the basic requirements for launching a security token offering
  • Explore various US securities laws governing the offering of security digital tokens
  • Get to grips with the stablecoin concept with the help of use cases
  • Learn how to develop security token decentralized applications
  • Understand the difference between ERC-20 and ERC-721 tokens
  • Learn how to set up a development environment and build security tokens
  • Explore the technical design of stablecoins

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Essential C# 12 (Pearson)

Author: Mark Michaelis
Publisher: Addison-Wesley
Date: December 3, 2023
Pages: 1232
ISBN: 978-0138219512
Print: 0138219516
Kindle: B0CLKY8GNV
Audience: C# developers
Rating: 5
Reviewer: Mike James
The latest edition of a highly recommended book that combines reference and tutorial material.



Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


More Reviews