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Learn Blockchain by Building One

Learn Blockchain by Building One

A Concise Path to Understanding Cryptocurrencies

by Daniel van Flymen
Paperback
Publication Date: 19/10/2020

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As cryptocurrencies and their underlying data structure, blockchains, become further intertwined in our daily lives, a full understanding of them is essential to anyone who wants to keep up and remain informed of the future of finance. There is no better learning method than a hands-on one, and Learn Blockchain by Building One offers just that.

Develop your own blockchain using Python with step-by-step instructions from author Daniel van Flymen, an expert in the field. You will come away with a confident working knowledge of popular cryptocurrencies such as Bitcoin and Ethereum and which foundations make them work. Through helpful exercises and real-world examples, you will understand the core concepts of peer-to-peer networking, proof of work, hashing, encryption, and digital signatures.

Learn Blockchain by Building One gives you timely, real-world lessons in blockchain and cryptocurrencies that you will need as our modern society becomes increasingly digitally sophisticated. The lasting implications of such technology, including the security of personal transactions and the role of government regulation, are not to be underestimated. Stay ahead of the curve and become a confident blockchain builder now!





What You Will Learn





Develop a fully-fledged blockchain in Python
Obtain a ground-up understanding of of Proof of Work
Grasp core cryptographic concepts, such as hashing, encryption, and digital signatures
Understand how gossip protocols and peer-to-peer networking works by implementing a TCP client-server
Realize the differences and trade-offs between popular blockchains such as Bitcoin and Ethereum




















Who This Book Is For

This book is aimed at intermediate programmers in any area from finance to academia. Readers should be comfortable reading and writing basic Python.
ISBN:
9781484251706
9781484251706
Category:
Data mining
Format:
Paperback
Publication Date:
19-10-2020
Publisher:
APress
Country of origin:
United States
Pages:
185
Dimensions (mm):
235x155mm
Weight:
0.45kg

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