valorkin

var http = require('http');
var querystring = require('querystring');

var post_data = querystring.stringify({
    username : 'demo',
    password: 'demo'
});

var options = {
    hostname: 'tableready.herokuapp.com',

valorkin

Hello

Problem to solve, split collected data in independent rows

Setup data

create
 (gdp:Indicators{name: 'gdp'})-[:with_dimension]->(dygdp:Dimensions{name: 'years'}),

valorkin

// index.ts
// (close) could be set or not
@Component({
  selector: 'app'
})
@View({
  template: `
  <alert (close)="closeAlert(i)">{{ alert1.msg }}</alert>
  <alert>{{ alert2.msg }}</alert>
  `,

valorkin

// should be on pair with https://github.com/webpack/webpack/blob/master/schemas/plugins/container/ModuleFederationPlugin.json
// we speak of one config for several types of entries (iframe\webpack\module federation)
// generic = <plugin launcher plugin="name1" module="component1"
// <angular-module-fed-launcher plugin="name1" module="component1" version="" env="production" provider="ariba"
// <iframe-launcher plugin="name2" module="page1"
// <webpack-component pl
// ContainerDescriptor?

<plugin-launcher name= module=>
  ng-template #default

valorkin

#!/usr/bin/env bash
DEPLOY_TO_PREVIEW_CHANNEL_RESULT=$(firebase hosting:channel:deploy pr-$TRAVIS_PULL_REQUEST --expires 30d --token $FIREBASE_TOKEN --json)

RESULT=`echo ${DEPLOY_TO_PREVIEW_CHANNEL_RESULT} | jq -r '.result'`
NGX_BOOTSTRAP_DEMO=`echo ${RESULT} | jq -r '."ngx-bootstrap-demo"'`
SITE=`echo ${NGX_BOOTSTRAP_DEMO} | jq -r .site`
URL=`echo ${NGX_BOOTSTRAP_DEMO} | jq -r .url`
EXPIRE_TIME_UTC=`echo ${NGX_BOOTSTRAP_DEMO} | jq -r .expireTime`
EXPIRE_TIME=$(TZ='GMT' date -d $EXPIRE_TIME_UTC +%c)

valorkin

#!/bin/bash

sudo apt-get update
sudo apt install -y build-essential

sudo apt install -y nvidia-driver-460

curl https://get.docker.com | sh \
  && sudo systemctl --now enable docker
  

valorkin

# only windows + python 3.7
# update env_var path for python scripts
# enable long names for terminal

# cuda windows https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/
# tf-gpu https://www.tensorflow.org/install/gpu#windows_setup

pip install jupyter
pip install --upgrade jupyter_http_over_ws>=0.0.7
jupyter serverextension enable --py jupyter_http_over_ws