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Blockchain Quick Reference

You're reading from   Blockchain Quick Reference A guide to exploring decentralized blockchain application development

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788995788
Length 350 pages
Edition 1st Edition
Languages
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Authors (4):
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Mariko Amekodommo Mariko Amekodommo
Author Profile Icon Mariko Amekodommo
Mariko Amekodommo
 Hill Hill
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Hill
 Chopra Chopra
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Chopra
Paul Valencourt Paul Valencourt
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Paul Valencourt
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Table of Contents (24) Chapters Close

Preface 1. Blockchain 101 FREE CHAPTER 2. Components and Structure of Blockchain 3. Decentralization Versus Distributed Systems 4. Cryptography and Mechanics Behind Blockchain 5. Bitcoin 6. Altcoins 7. Achieving Consensus 8. Advanced Blockchain Concepts 9. Cryptocurrency Wallets 10. Alternate Blockchains 11. Hyperledger and Enterprise Blockchains 12. Ethereum 101 13. Solidity 101 14. Smart Contracts 15. Ethereum Development 16. Ethereum Accounts and Ether Tokens 17. Decentralized Applications 18. Mining 19. ICO 101 20. Creating Your Own Currency 21. Scalability and Other Challenges 22. Future of Blockchain 23. Other Books You May Enjoy

Why smart contracts?

The world before smart contracts was one that was fraught with uncertainty. Legal contracts, even simple ones, need not be followed, and the cost of recourse using most legal systems was and is extremely expensive, even in countries where the legal system is not corrupt. In many areas of the world, contracts are barely worth the paper they are written on, and are usually enforceable only by parties with substantial political or financial power. For weaker actors in an economic or political system, this is a terrible and unfair set of circumstances.

The issues that we mentioned previously come primarily from the human factor. As long as a person is involved in the enforcement of a contract, they can be corrupt, lazy, misinformed, biased, and so on. A smart contract, in contrast, is written in code, and is meant to execute faithfully no matter what parties are...

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83
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36
Programming languages
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