luzfcb

Olá <NOME_EMPRESA>.

Vocês estão me enviando <email, ligação, SMS, via plataforma Whatsapp, via plataforma Telegram> comerciais não-solicitados, portanto SPAM.

No dia vocês enviaram ao meu uma mensagem comércial, com o seguinte texto:

<MENSAGEM>

phortuin

Based on this blogpost.

Install with Homebrew:

$ brew install postgresql@14

(The version number 14 needs to be explicitly stated. The @ mark designates a version number is specified. If you need an older version of postgres, use postgresql@13, for example.)

ilyar

#!/usr/bin/env bash

# Install cardano-cli or use docker https://gist.github.com/ilyar/bf4c2346be1a74c50e488181986808fb
#
# Linux https://hydra.iohk.io/job/Cardano/cardano-node/cardano-node-linux/latest-finished
# Win64 https://hydra.iohk.io/job/Cardano/cardano-node/cardano-node-win64/latest-finished
# Macos https://hydra.iohk.io/job/Cardano/cardano-node/cardano-node-macos/latest-finished
# Extcact only cardano-cli into /usr/local/bin/cardano-cli
# Check
cardano-cli --version

johan-lejdung

package mw

import (
	"fmt"
	"net/http"
	"time"
)

type Logger struct{}

kyriediculous

func main() {
  // STEP 1, STEP 2, STEP 3
  // ... 
  
  // Start the server in a child routine
	go func() {
		if err := s.Serve(listener); err != nil {
			log.Fatalf("Failed to serve: %v", err)
		}
	}()

cinhtau

# playbook for Apache Kafka deployment
# with docker containers
---

- hosts: all
  vars:
    ids:
      host01: 1
      host02: 2
      host03: 3

adigunhammedolalekan

package app

import (
	"net/http"
	u "lens/utils"
	"strings"
	"go-contacts/models"
	jwt "github.com/dgrijalva/jwt-go"
	"os"
	"context"

baijum

package main

import (
	"net/http"

	jwtmiddleware "github.com/auth0/go-jwt-middleware"
	jwt "github.com/dgrijalva/jwt-go"
	"github.com/gorilla/mux"
	"github.com/urfave/negroni"
)

waichee

# Clone the Tensorflow Serving source
git clone https://github.com/tensorflow/serving
cd serving && git checkout <commit_hash>

# Build the docker image (time to go get yourself a coffee, maybe a meal as well, this will take a while.)
docker build -t some_user_namespace/tensorflow-serving:latest -f ./serving/tensorflow_serving/tools/docker/Dockerfile.devel .

# Run up the Docker container in terminal
docker run -ti some_user_namespace/tensorflow-serving:latest

raghothams

from pyspark.sql import SparkSession

spark = SparkSession \
    .builder \
    .appName("demography mapper") \
    .getOrCreate()

df_user = spark.read.format("com.mongodb.spark.sql.DefaultSource")\
    .option("spark.mongodb.input.uri", "mongodb://localhost:27017/raw.user").load()