Packt+ | Advance your knowledge in tech

0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Blockchain Developer's Guide

You're reading from Blockchain Developer's Guide Develop smart applications with Blockchain technologies - Ethereum, JavaScript, Hyperledger Fabric, and Corda

Product type Course

Published in Dec 2018

Publisher

ISBN-13 9781789954722

Length 564 pages

Edition 1st Edition

Languages

JavaScript

Tools

Blockchain

Concepts

Blockchain

Authors (4):

Paul Valencourt

Brenn Hill

Narayan Prusty

Samanyu Chopra

View More author details

Table of Contents (37) Chapters

Title Page

Copyright

About Packt

Contributors

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 Accounts and Ether Tokens

16. Decentralized Applications

17. Mining

18. ICO 101

19. Creating Your Own Currency

20. Scalability and Other Challenges

21. Future of Blockchain

22. Understanding Decentralized Applications

23. Understanding How Ethereum Works

24. Writing Smart Contracts

25. Getting Started with web3.js

26. Building a Wallet Service

27. Building a Smart Contract Deployment Platform

28. Building a Betting App

29. Building Enterprise Level Smart Contracts

30. Building a Consortium Blockchain

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Summary

In this chapter, we have discussed the difference between distributed systems and decentralized systems and gone over some of the key features. You should now understand how each decentralized system is also a distributed system and some of the key aspects of each concept.

In the next chapter, we will start looking at how these things work in practice.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at €18.99/month. Cancel anytime

Authors (4)

Brenn Hill

Brenn Hill

Brenn Hill is a senior software engineer who has worked with such clients as NASCAR, PGA Tour, Time Warner Cable, and many others. He has experience leading international teams on cannot fail engineering projects. He strives to work with business to ensure that tech projects achieve good ROI and solve key business problems. He has a master's degree in Information Science from UNC-CH and currently travels the world as a digital nomad.

See other products by Brenn Hill

Paul Valencourt

Paul Valencourt

Paul Valencourt is CFO of BlockSimple Solutions. He currently helps people launch STOs and invest in cryptocurrency mining.

See other products by Paul Valencourt

Samanyu Chopra

Samanyu Chopra

Samanyu Chopra is a developer, entrepreneur, and Blockchain supporter with wide experience of conceptualizing, developing, and producing computer and mobile software's. He has been programming since the age of 11. He is proficient in programming languages such as JavaScript, Scala, C#, C++, Swift, and so on. He has a wide range of experience in developing for computers and mobiles. He has been a supporter of Bitcoin and blockchain since its early days and has been part of wide-ranging decentralized projects since a long time. You can write a tweet to him at @samdonly1.

See other products by Samanyu Chopra

Narayan Prusty

Narayan Prusty

Narayan Prusty is a full-stack developer. He works as a consultant for various start-ups around the world. He has worked on various technologies and programming languages but is very passionate about JavaScript, WordPress, Ethereum, Solr, React, Cordova, MongoDB, and AWS. Apart from consulting for various start-ups, he also runs a blog titled QNimate and a video tutorial site titled QScutter, where he shares information about a lot of the technologies he works on.

See other products by Narayan Prusty

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m