Book Image

Solidity Programming Essentials - Second Edition

By : Ritesh Modi
Book Image

Solidity Programming Essentials - Second Edition

By: Ritesh 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)
1
Part 1: The Fundamentals of Solidity and Ethereum
7
Part 2: Writing Robust Smart Contracts
13
Part 3: Advanced Smart Contracts

Summary

Once again, this was a dense chapter that focused primarily on the usage of functions along with modifiers and the way they help in writing code that improves overall readability and logic flow. Solidity provides special functions, the fallback and receive functions, within contracts, and they were covered with examples of their usage.

Functions can be constrained using the pure, constant, and view modifiers, which limit the activity possible within a function. State variables and functions can have different visibility scopes such as private, internal, public, and external (although state variables are never external) that constrain their visibility and limits them to only certain types of callers.

The functions related to the address type can be intimidating, especially when you consider their multiple variations and their relationship with the fallback functions. If you are implementing a fallback or receive function, remember to pay special attention to testing them...