Book description
The future will be increasingly distributed. As the publicity surrounding Bitcoin and blockchain has shown, distributed technology and business models are gaining popularity. Yet the disruptive potential of this technology is often obscured by hype and misconception. This detailed guide distills the complex, fast moving ideas behind blockchain into an easily digestible reference manual, showing what's really going on under the hood.
Finance and technology pros will learn how a blockchain works as they explore the evolution and current state of the technology, including the functions of cryptocurrencies and smart contracts. This book is for anyone evaluating whether to invest time in the cryptocurrency and blockchain industry. Go beyond buzzwords and see what the technology really has to offer.
- Learn why Bitcoin was fundamentally important in blockchain's birth
- Learn how Ethereum has created a fertile ground for new innovations like Decentralized Finance (DeFi), Non-Fungible Tokens (NFTs) and Flash Loans
- Discover the secrets behind cryptocurrency prices and different forces that affect the highly volatile cryptocurrency markets
- Learn how cryptocurrencies are used by criminals to carry out nefarious activities
- Discover how enterprise and governments are leveraging the blockchain including Facebook
- Understand the challenges of scaling and forking a blockchain
- Learn how different blockchains work
- Learn the language of blockchain as industry terms are explained
Table of contents
- Preface
- 1. Origins of Blockchain Technology
- 2. Cryptocurrency Fundamentals
- 3. Forks and Altchains
- 4. The Evolution to Ethereum
- 5. Tokenize Everything
- 6. Market Infrastructure
- 7. Decentralizing Finance and the Web
- 8. Catch Me If You Can
- 9. Other Blockchains
- 10. The Future of Blockchain
- Index
Product information
- Title: Mastering Blockchain
- Author(s):
- Release date: November 2020
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492054702
You might also like
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …
book
Software Engineering at Google
Today, software engineers need to know not only how to program effectively but also how to …
book
Practical Statistics for Data Scientists, 2nd Edition
Statistical methods are a key part of data science, yet few data scientists have formal statistical …
book
Head First Design Patterns, 2nd Edition
You know you don’t want to reinvent the wheel, so you look to design patterns—the lessons …