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Hands-On Blockchain for Python Developers

You're reading from   Hands-On Blockchain for Python Developers Empowering Python developers in the world of blockchain and smart contracts

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781805121367
Length 436 pages
Edition 2nd Edition
Languages
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Author (1):
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Arjuna Sky Kok Arjuna Sky Kok
Author Profile Icon Arjuna Sky Kok
Arjuna Sky Kok
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Toc

Table of Contents (27) Chapters Close

Preface 1. Part 1:Blockchain and Smart Contract FREE CHAPTER
2. Chapter 1: Introduction to Blockchain Programming 3. Chapter 2: Smart Contract Fundamentals 4. Chapter 3: Using Vyper to Implement a Smart Contract 5. Part 2: Web3 and Ape Framework
6. Chapter 4: Using Web3.py to Interact with Smart Contracts 7. Chapter 5: Ape Framework 8. Chapter 6: Building a Practical Decentralized Application 9. Part 3: Graphical User Interface Applications
10. Chapter 7: Front-End Decentralized Application 11. Chapter 8: Cryptocurrency Wallet 12. Part 4: Related Technologies
13. Chapter 9: InterPlanetary: A Brave New File System 14. Chapter 10: Implementing a Decentralized Application Using IPFS 15. Chapter 11: Exploring Layer 2 16. Part 5: Cryptocurrency and NFT
17. Chapter 12: Creating Tokens on Ethereum 18. Chapter 13: How to Create an NFT 19. Part 6: Writing Complex Smart Contracts
20. Chapter 14: Writing NFT Marketplace Smart Contracts 21. Chapter 15: Writing a Lending Vault Smart Contract 22. Chapter 16: Decentralized Exchange 23. Part 7: Building a Full-Stack Web3 Application
24. Chapter 17: Token-Gated Applications 25. Index 26. Other Books You May Enjoy

Summary

In this chapter, we have studied IPFS. We started by looking at the motivations of the IPFS project and its history. Although IPFS is not a part of the blockchain technology, it is similar to blockchain because it complements blockchain technology. We then learned about the data structure of the content that we saved in the IPFS filesystem. This data structure is Merkle Directed Acyclic Graph (DAG), which is based on the Merkle tree. We created simple Merkle tree and Merkle DAG libraries to understand the uniqueness of these data structures. Merkle trees provide an easy way to check the integrity of partial data, while Merkle DAGs are used when we want to save a directory with files and we want to keep the filenames. Then, we learned about the peer-to-peer networking aspect of a Kademlia distributed hash table. The distance between nodes is based on the XOR distance. The nodes also are kept in buckets, which corresponds to bit addressing. Finally, we showed how a node can find...

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