renatocfrancisco

const obj = {
  908: '1083',
  326: '1083',
  1048: '77',
  903: '77',
  935: null,
  149: null,
  336: '626',
  905: '1071',
  955: '33',

renatocfrancisco

{
    "10": {
        "success": true,
        "data": {
            "type": "game",
            "name": "Counter-Strike",
            "steam_appid": 10,
            "required_age": 0,
            "is_free": false,
            "detailed_description": "Jogue o jogo de ação número 1 no mundo. Junte-se a uma guerra incrivelmente realística contra o terrorismo neste jogo baseado em equipes. Alie-se com os seus colegas e complete missões estratégicas. Acabe com os inimigos. Resgate reféns. A forma como você joga afeta o sucesso da sua equipe. O sucesso da sua equipe afeta você.",

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const formatCurrentPlanType = (type) => {
    const planType = {
        free: 'Free',
        individual: 'Individual',
        team: 'Team',
        enterprise: 'Enterprise',
        'enterprise-member': 'Enterprise Member'
    };
    return planType[type] || 'Free';
};

renatocfrancisco

@echo off

REM Get a list of all globally installed packages
pip list --format=freeze > packages.txt

REM Uninstall each package one by one
for /f "delims=" %%i in (packages.txt) do (
    pip uninstall -y %%i
)

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const capitalize = (str) => `${str.charAt(0).toUpperCase()}${str.slice(1)}`;
const calculatePercent = (value, total) => Math.round((value / total) * 100)
const getRandomItem = (items) => items[Math.floor(Math.random() * items.length)];
const removeDuplicates = (arr) => [...new Set(arr)];
const sortBy = (arr, key) => arr.sort((a, b) => a[key] > b[key] ? 1 : a[key] < b[key] ? -1 : 0);
const isEqual = (a, b) => JSON.stringify(a) === JSON.stringify(b);
const countOccurrences = (arr, value) => arr.reduce((a, v) => (v === value ? a + 1 : a), 0);
const wait = async (milliseconds) => new Promise((resolve) => setTimeout(resolve, milliseconds));
const pluck = (objs, key) => objs.map((obj) => obj[key]);
const insert = (arr, index, newItem) => [...arr.slice(0, index), newItem, ...arr.slice(index)];

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import multiprocessing as mp
import time
import concurrent.futures

def do_some(seconds = 1):
    print(f'sleeping {seconds}')
    time.sleep(seconds)
    return f'done {seconds}'

if __name__ == '__main__':

renatocfrancisco

// executando com node, npm -> package.json -> axios 1.3.4

import axios from "axios";
import fs from "fs";

// config e req. tirado do postman
var config = {
  method: "get",
  maxBodyLength: Infinity,
  url: "https://brasilapi.com.br/api/banks/v1",

renatocfrancisco

The _metadata attribute of the Pandas DataFrame was removed in version 1.3.0, which is why you are receiving a "list indices must be integers or slices, not str" error. The approach I suggested in my previous response would only work for Pandas versions earlier than 1.3.0.

In newer versions of Pandas, you can still access the compiled SQL statement by using the query attribute of the sqlalchemy.engine.ResultProxy object that is returned by pandas.read_sql_query. Here's an example:

import pandas as pd
from sqlalchemy import create_engine

# create a SQLAlchemy engine
engine = create_engine('postgresql://user:password@host:port/database')

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import string
import random

def main():
    password_length = int(input("Length (int) of password? "))
    punctuation_option = input("Punctuation on password? (y/n)")
    if(punctuation_option == 'y'):
        characters = list(string.ascii_letters + string.digits + string.punctuation)
    else:
        characters = list(string.ascii_letters + string.digits)

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-- https://felipelauffer.com/2019/03/01/remover-acentos-e-cedilhas-de-uma-string/
-- Usando COLLATE SQL_Latin, retira acentuação de string
SELECT 'çáéíóúâêîôûãõç' COLLATE SQL_Latin1_General_Cp1251_CS_AS AS nova_string