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Solidity Programming Essentials

Solidity Programming Essentials

By : Modi
3.6 (8)
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Solidity Programming Essentials

Solidity Programming Essentials

3.6 (8)
By: Modi

Overview of this book

Solidity is a high-level language for writing smart contracts, and the syntax has large similarities with JavaScript, thereby making it easier for developers to learn, design, compile, and deploy smart contracts on large blockchain ecosystems including Ethereum and Polygon among others. This book guides you in understanding Solidity programming from scratch. The book starts with step-by-step instructions for the installation of multiple tools and private blockchain, along with foundational concepts such as variables, data types, and programming constructs. You’ll then explore contracts based on an object-oriented paradigm, including the usage of constructors, interfaces, libraries, and abstract contracts. The following chapters help you get to grips with testing and debugging smart contracts. As you advance, you’ll learn about advanced concepts like assembly programming, advanced interfaces, usage of recovery, and error handling using try-catch blocks. You’ll also explore multiple design patterns for smart contracts alongside developing secure smart contracts, as well as gain a solid understanding of writing upgradable smart concepts and data modeling. Finally, you’ll discover how to create your own ERC20 and NFT tokens from scratch. By the end of this book, you will be able to write, deploy, and test smart contracts in Ethereum.
Table of Contents (21 chapters)
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1
Part 1: The Fundamentals of Solidity and Ethereum
7
Part 2: Writing Robust Smart Contracts
13
Part 3: Advanced Smart Contracts

Understanding data modeling in Solidity

Data stored in Ethereum has a fixed schema and layout. Once a smart contract is created with global storage and deployed, it cannot be modified. Its layout is determined, and it remains the same for the lifetime of the contract.

All data required by a decentralized application can be stored within a single smart contract. However, managing such a smart contract can easily become a nightmare and there can be more than one reason for versioning the smart contract and redeploying. A better strategy is to divide all the required data into smaller data buckets and put them in separate smart contracts. This will ensure that even in the case of changes, only part of the application and smart contract will be redeployed instead of the entire application.

However, this approach poses a different set of challenges, such as how should related data be retrieved together from multiple smart contracts, how can we put related data in multiple smart contracts...

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