kuc-arc-f

const serverless = require('serverless-http');
const express = require('express');
const indexRouter = require('./routes/index');
const usersRouter = require('./routes/users');

const app = express();
app.use('/', indexRouter);
app.use('/users',usersRouter);

module.exports = app;

amrrs

//credit - https://huggingface.co/blog/fine-tune-wav2vec2-english (Patrick von Platen)

// run this on your Chrome / Browser Console (where Colab is present) 

function ConnectButton(){
    console.log("Connect pushed"); 
    document.querySelector("#top-toolbar > colab-connect-button").shadowRoot.querySelector("#connect").click() 
}

var colab = setInterval(ConnectButton,60000);

nikhilkumarsingh

djg07

import boto3
def main():
    # 1 - Create Client
    ddb = boto3.resource('dynamodb',
                         endpoint_url='http://localhost:8000',
                         region_name='dummy',
                         aws_access_key_id='dummy',
                         aws_secret_access_key='dummy')
    # 2 - Create the Table
    ddb.create_table(TableName='Transactions',

gvvynplaine

# gitignore template for Jupyter Notebooks
# website: http://jupyter.org/

.ipynb_checkpoints
*/.ipynb_checkpoints/*

# IPython
profile_default/
ipython_config.py

nicoavila

version: '3.3'
services:
  database:
    image: mysql:5.7
    container_name: mysql
    restart: always
    environment:
      MYSQL_DATABASE: 'db'   
      MYSQL_USER: 'user'
      MYSQL_PASSWORD: 'password'      

neuecc

// extension awaiter/methods can be used by this namespace
using UniRx.Async;

// You can return type as struct UniTask<T>, it is unity specialized lightweight alternative of Task<T>
// no(or less) allocation and fast excution for zero overhead async/await integrate with Unity
async UniTask<string> DemoAsync()
{
    // You can await Unity's AsyncObject
    var asset = await Resources.LoadAsync<TextAsset>("foo");

vmandic

# From .NET Core 3.0 you can use the command: `dotnet new gitignore` to generate a customizable .gitignore file

*.swp
*.*~
project.lock.json
.DS_Store
*.pyc

# Visual Studio Code
.vscode

Fhernd

import numpy as np


arreglo_primos = np.array([2, 3, 7, 19, 23])

# Promedio:
print(np.mean(arreglo_primos))
print('')

# Mediana:

fmachado

Disclaimer While doing a research for a SCADA integration project, I found this document on Google cache as the main site was unavailable. It has some good points and may be useful for anyone looking for this comparison.

Many people question the concept of using SOAP or REST based services to deliver data from a database when they could potentially use SQL/ODBC. In general terms, if your requirement is for complex SQL/ODBC queries, SQL/ODBC is the way to go. However, when the requirement is less about complex queries and more about accessing and/or updating the data, SOAP and REST provides many advantages in today’s' networks.

Feature	SQL/ODBC	SOAP/REST
Standards	While an SQL standard exists, there are different flavors implemented by different databases.	Fully standards based using WSDL, SOAP, REST, XML, HTTP and TCP/IP
C