Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (2h 47m) | Size: 1.46 GB
Mastering the Ethereum Virtual Machine and the Solidity Compiler
What you’ll learn
Learn how the Ethereum Virtual Machine sets the gas price
Learn how to improve the gas price of existing code
Learn how to debug execution costs for smart contracts
Learn what designs to avoid that lead to high execution costs
Requirements
Basic understanding of solidity
Ideally, created an ERC-20 or ERC-721 token before
Description
Ever been surprised by the gas costs in a smart contract? The Ethereum Virtual Machine calculates these costs deterministically, but understanding how is a bit obscure unless you want to comb through the dense yellowpaper! This course helps you understand where every last bit of gas is coming from and the gotchas that can make transactions surprisingly expensive.
This course is for solidity developers looking to progress from beginner to advanced intermediate. Knowledge about Solidity, OpenZeppelin, and Remix is assumed. You should know how to deploy and test a smart contract, and ideally, you’ve created a token on the mainnet before (and experienced how expensive it can be!).
I’m the author of ERC1155D, arguably the most efficient NFT contract created. I’m here to share my learnings with you!
Some of the most enjoyable years of my life was teaching computer science at Columbia University, so I’m happy to relive those years virtually!
Topics covered include
A deep dive into the solidity compiler
A deep dive into the Ethereum Virtual Machine
How to understand the output from the solidity compiler
How to track down wasteful computation
Understanding gas cost specifications
Techniques for improving gas costs
How memory, transaction data, state changes, and computational cost affect transaction cost
Bad designs to avoid
Where the Yellowpaper is wrong!
Who this course is for
Smart contract developers looking to make their smart contracts more gas efficient
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