Kai kaiqiangh

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

Google Speech To Text API

Base URL: https://www.google.com/speech-api/v1/recognize
It accepts POST requests with voice file encoded in FLAC format, and query parameters for control.

client
The client's name you're connecting from. For spoofing purposes, let's use chromium

lang
Speech language, for example, ar-QA for Qatari Arabic, or en-US for U.S. English

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	// This is a basic uniswap frontrunning MEV bot
	// Made by Merunas follow me on youtube to see how to use it and edit it: https://www.youtube.com/channel/UCJInIwgW1duAEnMHHxDK7XQ

	// 1. Setup ethers, required variables, contracts and start function
	const { Wallet, ethers } = require('ethers')
	const { FlashbotsBundleProvider, FlashbotsBundleResolution } = require('@flashbots/ethers-provider-bundle')

	// 1.1 Setup ABIs and Bytecodes
	const UniswapAbi = [{"inputs":[{"internalType":"address","name":"_factory","type":"address"},{"internalType":"address","name":"_WETH","type":"address"}],"stateMutability":"nonpayable","type":"constructor"},{"inputs":[],"name":"WETH","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"tokenA","type":"address"},{"internalType":"address","name":"tokenB","type":"address"},{"internalType":"uint256","name":"amountADesired","type":"uint256"},{"internalType":"uint256","name":"amountBDesire