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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

SafeMath and under/overflow attacks

Solidity in previous versions (prior to 0.8) has been subject to integer overflow and underflow attacks. Before exploring these attacks, it is important to understand what overflow and underflow mean in terms of Solidity.

Integer overflow is a mechanism that occurs when you assign an integer value more than the variable can accept. In such cases, the value assigned is different and calculated by starting over with the minimum value, supported by the data type. For example, uint8 in Solidity can accept values ranging from 0 to 255. Assigning a value of 256 to uint8 would assign a value of 1 to the variable. Similarly, assigning 257 to uint8 would assign a value of 2 to the variable.

Integer underflow is similar to overflow. The difference is that the value assignment happens at the lower boundary for an acceptable value for a datatype. Assigning a value of -1 to uint8 would recycle its value to 255. Similarly, assigning -2 to uint8 would assign...

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