dangpzanco

8 dicas para o Yakisoba perfeito

Fonte: http://web.archive.org/web/20170711022847/http://www.muitoalemdacozinha.com/2016/10/02/yakisoba-perfeito/

Backup aqui (senha de edit = URL)

Yakisoba, o prato de origem Oriental mais amado pelos Brasileiros. Existem centenas de receitas de Yakisoba na internet, muitas delas intituladas de originais. Mas, ao meu ver não existe uma receita original, nem aqui, nem na China (de onde é originado o prato). Isso porque esse prato é muito versátil, pode ser feito com o que mais gostamos ou o que temos na geladeira.

Então além de mostrar o meu jeito de fazer, vou listar dicas para a sua receita ficar ainda mais gostosa.

dangpzanco

#!/bin/bash
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# Build script for UHD+GnuRadio on Fedora and Ubuntu
#
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# Updates: https://github.com/guruofquality/grextras/wiki
# Updates: https://github.com/balint256/gr-baz.git
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dangpzanco

Climate Change: How Can AI Help? climatechange.ai

Friday, June 14th 2019 - Times relative to Pacific Time (PT or GMT-8)

Part 1

https://slideslive.com/38917142/climate-change-how-can-ai-help

• 8:30 - 8:45 - Welcome and Opening Remarks
• 8:45 - 9:20 - John Platt (Google AI): AI for Climate Change: the Context (Keynote talk)
• 9:20 - 9:45 - Jack Kelly (Open Climate Fix): Why it’s hard to mitigate climate change, and how to do better (Invited talk)

dangpzanco

import pathlib
import tqdm
import imageio

# import PIL.Image
# PIL.Image.MAX_IMAGE_PIXELS = 933120000
# input_path = pathlib.Path('Starry Night.jpg')

input_path = pathlib.Path('Starry Night (small).jpg')
im = imageio.imread(input_path)

dangpzanco

import pathlib # Handle paths (https://pbpython.com/pathlib-intro.html)
import numpy as np


def run_simulation(n=1000):
    x = np.random.randn(n)
    y = np.random.randn(n,n) @ x
    simulation_results = dict(x=x, y=y)
    return simulation_results

dangpzanco

#!/bin/bash

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
mkdir ~/.conda # https://github.com/ContinuumIO/anaconda-issues/issues/11148
sh Miniconda3-latest-Linux-x86_64.sh

conda update --all -y
conda install -y tensorflow git

git clone https://github.com/tensorflow/benchmarks

dangpzanco

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dangpzanco

import numpy as np
import librosa
import pandas as pd
import numpy.random as rnd
import pathlib
import tqdm


dataset_folder = pathlib.Path('noise_data')
dataset_folder.mkdir(parents=True, exist_ok=True)

dangpzanco

#!/data/data/com.termux/files/usr/bin/bash

folder=ubuntu-fs
if [ -d "$folder" ]; then
	first=1
	echo "skipping downloading"
fi
tarball="ubuntu.tar.gz"
if [ "$first" != 1 ];then
	if [ ! -f $tarball ]; then

dangpzanco

import serial
import sys
import argparse
import csv
import pathlib
from datetime import datetime


def list_serial_ports():
    """ Lists serial port names