How To Create a Token (Step-by-Step ERC20 Code Explained)

Whiteboard Crypto · Intermediate ·🧠 Large Language Models ·3y ago

About this lesson

Join the Bootcamp waitlist to fully understand how to write smart contracts and build your own dApp: https://whiteboardcrypto.com/ Here's the code: //SPDX-License-Identifier: MIT pragma solidity 0.8.13; import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/token/ERC20/ERC20.sol"; import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/access/Ownable.sol"; contract TheodoresToken is ERC20("Theodores Token", "TT"),Ownable{ function mintFifty() public onlyOwner { _mint(msg.sender, 50 * 10**18); } }

Original Description

Join the Bootcamp waitlist to fully understand how to write smart contracts and build your own dApp: https://whiteboardcrypto.com/ Here's the code: //SPDX-License-Identifier: MIT pragma solidity 0.8.13; import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/token/ERC20/ERC20.sol"; import "https://github.com/OpenZeppelin/openzeppelin-contracts/blob/master/contracts/access/Ownable.sol"; contract TheodoresToken is ERC20("Theodores Token", "TT"),Ownable{ function mintFifty() public onlyOwner { _mint(msg.sender, 50 * 10**18); } }
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Why We Fine-Tuned a Local LLM for Personalized Language Learning
Learn how Wissero fine-tuned a local LLM for personalized language learning and why it matters for adaptive education
Medium · AI
📰
Why We Fine-Tuned a Local LLM for Personalized Language Learning
Learn how fine-tuning a local LLM can enhance personalized language learning on the Wissero platform
Medium · Machine Learning
📰
GPT-5.6 USA: Global Privacy & Competition Ripple
Understand the global implications of the US GPT-5.6 rollout on AI regulation and competition
Dev.to AI
📰
Integrating the OpenAI API the Right Way — Streaming, Rate-Limiting, and Prompt
Learn to integrate the OpenAI API effectively with streaming, rate-limiting, and prompt engineering for better performance and results
Dev.to · Ardhansu Das
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →