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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

Writing upgradable contracts with upgradable storage

All examples and techniques shown so far in this chapter were dealing with future changes in contract functions. The changes to the functions are generally more than the storage variables. However, the contract variable may require changes. In such cases, there is an additional design pattern that should be implemented alongside the others that were shown earlier in this chapter. This pattern helps in creating upgradable storage variables.

Storage variables are stored in persistent storage, with dynamic types such as arrays and mappings treated differently from native types such as Booleans and integers. Native types are stored in sequence one after another, while arrays and mappings are stored at different locations. Instead of placing variables consecutively in sequence, we can determine the location of these variables dynamically and store our data there. We can create some placeholder variables to start with and store newer...

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