Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Introduction to Dapps development with Rust and Foundry
Rating: 5.0 out of 5(1 rating)
349 students

Introduction to Dapps development with Rust and Foundry

Let's venture into Rust and Foundry and Dapps optimization for performance with Foundry and Rust.
Created byAbhinav Raj
Last updated 9/2024
English
English [Auto],

What you'll learn

  • Fundamentals of Rust for dapp development
  • Rust and Foundry integrated development guide
  • Getting Started With Foundry
  • Rust Algorithms

Course content

2 sections • 10 lectures • 51m total length

  • Introduction2:33

    Explore how Rust with Foundry enables smart contract testing and cryptography, while building APIs, middleware, and cross-chain, off-chain computation for data processing analytics and DeFi.

  • Rust Algorithms I6:46

    Explore linear search, binary search, bubble sort, merge sort, and breadth first search, explaining how breadth first search navigates trees and graphs, with Rust implementations.

  • Rust Algorithms II8:38

    Discover binary search with a while loop using low, high, and mid on an array, handle found and not found cases, then learn bubble sort and merge sort in Rust.

  • Rust Algorithms III3:37

    Implement bubble sort on a mutable array, handling length and swaps while updating values. Apply insertion sort and outline merging sort to complete the Rust algorithms lesson.

  • Rust Algorithms IV16:24

    Cover insertion sort on arrays in Rust, then explain merge sort using a divide-and-conquer approach that bifurcates, sorts, and merges halves.

  • Rust Algorithms V10:00

    Explore Rust algorithms by implementing quicksort, using partitioning around a pivot to sort a mutable i32 array and print the sorted results.

  • Getting Started With Foundry1:29

    Learn to start building web3 dapps with Rust and Foundry by cloning the repo, installing Forge, Cast, and Chisel, and building a Docker image for streamlined development.

  • Rust Algorithms Results1:13

    Develop and run Rust algorithms for dapps by creating a new directory, using cargo to build a binary, organizing src code, and calling functions in sequence to see results.

Requirements

  • Some intermediate programming experience required.

Description

How to start developing new and improved Dapps with Rust?

Let's learn the exciting optimizations possible with Rust, and let's start with algorithmic sufficiency first.

Students will learn how to calculate algorithmic efficiency and complexity, and how to design algorithms that are both correct and efficient. The course will cover several algorithmic paradigms, such as divide-and-conquer, dynamic programming, and greedy algorithms. Additionally, the course will introduce students to algorithmic techniques for specific types of problems, such as sorting, searching, graph traversal, and dynamic programming. This course will provide students with a solid foundation in algorithms, including their design, analysis, and implementation. Students will learn to evaluate algorithmic efficiency and complexity and to design algorithms that are both correct and efficient.

Course Outline:


  1. Introduction to Foundry

  1. Sorting Algorithms

  • Selection sort, insertion sort, merge sort, and quicksort

  • Analysis of sorting algorithms

  • Implementation of sorting algorithms in a programming language

  1. Searching Algorithms

  • Linear search and binary search

  • Analysis of searching algorithms

  • Implementation of searching algorithms in a programming language


In Part 2


  1. Graph Algorithms

  • Graph representation and traversal

  • Breadth-first search and depth-first search

  • Dijkstra's algorithm for shortest path

  • Analysis and implementation of graph algorithms in a programming language

'

In Part 3 with Foundry


  1. Dynamic Programming

  • Overview of dynamic programming

  • Memoization and tabulation

  • Knapsack problem and other examples of dynamic programming

  • Analysis and implementation of dynamic programming algorithms in a programming language



Who this course is for:

  • Software Developers

Report abuse