brenorb

#!/bin/sh
#Updates codes
#Author: Breno Brito
#Updated in 13/04/2018

export dir=$PWD

echo Updating website
echo
cd $dir/website

brenorb

net start w32time
w32tm /resync /force
net stop w32time

brenorb

import twittter_main

# Execute Pytest in the cmd to assert the test.

def test_post_sem_usuario_sem_msg():
    assert twittter_main.post('->') == 'Comando invalido!'

def test_post_sem_msg():
    assert twittter_main.post("Alice ->") == "Post sem mensagem!"

brenorb

import { checkFiveCards, checkCard, checkHand, higherCard } from './poker';

// Should use 'export function' for functions in './poker' file

describe('Checar 5 cartas', () => {
  test('checa mão com cinco cartas', () => {
    expect(checkFiveCards('2H 3D 5S 9C KD')).toEqual(true);
  });
  test('checa mão com 4 cartas', () => {
    expect(checkFiveCards('2H 3D 5S 9C')).toEqual(false);

brenorb

/* Techbricks.nl Line Follower
   Based on a PID controller, using the NXT 1.0 light sensor
   NXC firmware 1.28
   www.techbricks.nl
   last modified 03/03/2010                                    Breno version*/

/* Proportional gain, straight forward reaction of the controller
   Larger values typically mean faster response since the larger the error,
   the larger the proportional term compensation.
   An excessively large proportional gain will lead to process instability and oscillation.*/

brenorb

brenorb

#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""

brenorb

# from https://www.kaggle.com/kmader/july-24-micro-challenge
from contextlib import redirect_stdout
from io import StringIO

def simulate_game(verbose=False):
    out_buffer = StringIO()
    with redirect_stdout(out_buffer):
        blackjack.simulate_one_game()
    out_str = out_buffer.getvalue()
    if verbose: 

brenorb

Emoji Cheatsheet

People

- :bowtie: 😄 - :smile: 😆 - :laughing: 😊 - :blush:

brenorb

import pandas as pd, numpy as np
import yfinance as yf
import datetime as dt
import re
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
plt.rcParams['figure.figsize'] = [10,6]
plt.rcParams["font.weight"] = "bold"
plt.rcParams["axes.labelweight"] = "bold"