Packt+ | Advance your knowledge in tech

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Blockchain Development with Hyperledger

You're reading from Blockchain Development with Hyperledger Build decentralized applications with Hyperledger Fabric and Composer

Product type Course

Published in Mar 2019

Publisher Packt

ISBN-13 9781838649982

Length 636 pages

Edition 1st Edition

Languages

Solidity

Tools

Blockchain

Concepts

Blockchain

Authors (8):

Anthony O'Dowd

Petr Novotny

Weimin Sun

Nitin Gaur

Luc Desrosiers

Venkatraman Ramakrishna

Xun (Brian) Wu

Salman A. Baset

+4 more

View More author details

Table of Contents (25) Chapters

Title Page

Copyright

About Packt

Contributors

Preface

1. Blockchain - Enterprise and Industry Perspective

2. Exploring Hyperledger Fabric FREE CHAPTER

3. Setting the Stage with a Business Scenario

4. Designing a Data and Transaction Model with Golang

5. Exposing Network Assets and Transactions

6. Business Networks

7. A Business Network Example

8. Agility in a Blockchain Network

9. Life in a Blockchain Network

10. Governance, Necessary Evil of Regulated Industries

11. Hyperledger Fabric Security

12. Introduction to Blockchain Technology

13. Ethereum Fundamentals

14. Overview of Solidity Programming

15. Building an Ethereum Blockchain Application

16. Exploring an Enterprise Blockchain Application Using Hyperledger Fabric

17. Implementing Business Networks Using Hyperledger Composer

18. Blockchain Use Cases

1. Other Books You May Enjoy

Leave a Review - Let Other Readers Know What You Think

Index

Summary

In this chapter, we learned DApp basics and we now understand the web3.js API. By running Ganache as our local Ethereum environment, we could use the Truffle development tool to create a crowdfunding project and write a DApp component. Finally, we deployed and launched the crowdfunding DApp. In the next chapter, we will start to explore the most popular enterprise blockchain—Hyperledger Fabric.

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 $19.99/month. Cancel anytime

Authors (8)

Luc Desrosiers

Luc Desrosiers

Luc Desrosiers is an IBM-certified IT architect with 20+ years of experience.

See other products by Luc Desrosiers

Salman A. Baset

Salman A. Baset

Dr. Salman A. Baset is the CTO of security in IBM Blockchain Solutions.

See other products by Salman A. Baset

Xun (Brian) Wu

Xun (Brian) Wu

Xun (Brian) Wu is a senior blockchain architect and consultant. With over 20 years of hands-on experience across various technologies, including Blockchain, big data, cloud, AI, systems, and infrastructure, Brian has worked on more than 50 projects in his career. He has authored nine books, which have been published by O'Reilly, Packt, and Apress, focusing on popular fields within the Blockchain industry. The titles of his books include: Learn Ethereum (First Edition), Learn Ethereum (Second Edition), Blockchain for Teens, Hands-On Smart Contract Development with Hyperledger Fabric V2, Hyperledger Cookbook, Blockchain Quick Start Guide, Security Tokens and Stablecoins Quick Start Guide, Blockchain by Example, and Seven NoSQL Databases in a Week.

See other products by Xun (Brian) Wu

Weimin Sun

Weimin Sun

Weimin Sun has 20 years' of experience working in the financial industry. He has worked for top-tier investment and commercial banks such as J.P. Morgan, Bank of America, Citibank, and Morgan Stanley, where he also managed large teams for developing IT applications. Weimin has also held corporate titles such as executive director and senior VP in some of these firms. Weimin has in-depth knowledge of the blockchain technology, data science, data architecture, data modeling, and big data platforms. He holds Ph.D, M.B.A and M.Sc degrees. He has co-authored Blockchain Quick Start Guide and published several statistical journal papers.

See other products by Weimin Sun

Venkatraman Ramakrishna

Venkatraman Ramakrishna

Venkatraman Ramakrishna is an IBM researcher, with a BTech from IIT Kharagpur and PhD from UCLA.

See other products by Venkatraman Ramakrishna

Anthony O'Dowd

Anthony O'Dowd

Anthony O'Dowd is a Distinguished Engineer at IBM, focusing on Blockchain. He led IBM's contribution to the design and development of the new smart contract and application SDKs found in Hyperledger Fabric v2. Anthony has also made significant contributions to Hyperledger Fabric documentation and samples.

See other products by Anthony O'Dowd

Petr Novotny

Petr Novotny

Petr Novotny is a research scientist at IBM Research, with an MSc from University College London and PhD from Imperial College London, where he was also a post-doctoral research associate.

See other products by Petr Novotny

Nitin Gaur

Nitin Gaur

Nitin Gaur, is the director of IBM's Blockchain Labs, and an IBM Distinguished Engineer.

See other products by Nitin Gaur

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