llSourcell

import puppeteer from 'puppeteer';
import { BingChat } from 'bing-chat'

async function example() {
  const api = new BingChat({
    cookie: process.env.BING_COOKIE
  })

  const res = await api.sendMessage('Hello World!')
  console.log(res.text)

llSourcell

Getting Started with Smart Contracts on Polygon PoS (4 parts)

1 Polygon PoS Explained

2 Mint an NFT

3 Stake Polygon Token

4 Create ERC-20 Tokens

Polygon PoS Explained

Polygon is a decentralised Ethereum scaling platform that enables developers to build scalable user-friendly dApps with low transaction fees without ever sacrificing on security. Polygon's live blockchain in production is called Polygon Proof-of-Stake or PoS for short. In this guide, we'll learn how to build and deploy our first Solidity smart contracts to Polygon PoS.

llSourcell

  function rollUp(
    uint256[2] memory a,
    uint256[2][2] memory b,
    uint256[2] memory c,
    uint256[73] memory input
  ) public {
    // TODO: Check if current merkle tree is
    // equal to supplied merkle tree
    uint256 balanceTreeRoot = input[1];
    // uint256 newBalanceTreeRoot = input[1];

llSourcell

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

import "@openzeppelin/contracts/token/ERC721/ERC721.sol";
import "@openzeppelin/contracts/access/Ownable.sol";


//this is an NFT contract 
contract NFTGAMEPLAY is ERC721, Ownable {

llSourcell

// What is Basic Income?
// Why?
// How? Dividend issuing token every x interval, like a week. Polygon, fast, cheap
// Problem - Proof of Unique Identity
// 

pragma solidity ^0.4.21;

contract BasicIncomeToken {

llSourcell

import requests # step 1 - pull data from Web
import threading




from bs4 import BeautifulSoup # step 2 - parse

print(final.title)
print(final.question_1)

llSourcell

yosadad
https://docs.google.com/presentation/d/1dinjf2mZ1SkRnzJo6fL-ZfGyGDBI4JWeoGsnBj7hNNg/edit?usp=sharing

llSourcell

#!/usr/bin/env python3

"""
This script allows you to manually control the simulator
using the keyboard arrows.
"""

import sys
import argparse
import pyglet

llSourcell

use std::io;
use std::process;

fn main() {
   //Step 0 - Collect data
    let x: [f64; 8] = [44.0, 46.0, 59.0, 67.0, 74.0, 85.0, 97.0, 43.0];
    let y: [f64; 8] = [1200.0, 2400.0, 3200.0, 3000.0, 5000.0, 4000.0, 6000.0, 6050.0]; 
    println!("Total profit per month");

    //Step 1 - Compute the average of X

llSourcell

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers