matt-bertoncello

# define base image as python slim-buster.
FROM python:3.7-slim-buster as base

## start builder stage.

# this is the first stage of the build.
# it will install all requirements.
FROM base as builder

# install all packages for chromedriver: https://gist.github.com/varyonic/dea40abcf3dd891d204ef235c6e8dd79

korakot

# authenticate
from google.colab import auth
auth.authenticate_user()
import gspread
from oauth2client.client import GoogleCredentials as GC
gc = gspread.authorize(GC.get_application_default())
# create, and save df
from gspread_dataframe import set_with_dataframe
title = 'New Sheet'
gc.create(title)  # if not exist

Brainiarc7

How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

javierluraschi

A script to demonstrate using TensorFlow in Spark with Amazon EMR and sparklyr.

1. Create an EMR cluster for sparklyr, connect to EMR and install required tools:

install.packages(tensorflow)
devtools::install_github("rstudio/tfdeploy")

2. Connect to Spark using sparklyr, copy some data and the mtcars TensorFlow model:

jimmysitu

morningstar.com API

• Get key ratio, return csv format file

http://financials.morningstar.com/ajax/exportKR2CSV.html?t=<market>:<stock>

Market

• XHKG: Hong Kong Stock Exchange
• XASE: American Stock Exchange
• XNAS: Nasdaq Stock Exchange >* XNYS: New York Stock Exchange

mohanrajendran

# This script is designed to work with ubuntu 16.04 LTS

# ensure system is updated and has basic build tools
sudo apt-get update
sudo apt-get --assume-yes upgrade
sudo apt-get --assume-yes install tmux build-essential gcc g++ make binutils git
sudo apt-get --assume-yes install software-properties-common

# download and install GPU drivers
wget "http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.44-1_amd64.deb" -O "cuda-repo-ubuntu1604_8.0.44-1_amd64.deb"

nikhilkumarsingh

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

# loading data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

# number of features
num_features = 784

mjdietzx

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

jmxpearson

ziadoz

#!/usr/bin/env bash
# https://developers.supportbee.com/blog/setting-up-cucumber-to-run-with-Chrome-on-Linux/
# https://gist.github.com/curtismcmullan/7be1a8c1c841a9d8db2c
# https://stackoverflow.com/questions/10792403/how-do-i-get-chrome-working-with-selenium-using-php-webdriver
# https://stackoverflow.com/questions/26133486/how-to-specify-binary-path-for-remote-chromedriver-in-codeception
# https://stackoverflow.com/questions/40262682/how-to-run-selenium-3-x-with-chrome-driver-through-terminal
# https://askubuntu.com/questions/760085/how-do-you-install-google-chrome-on-ubuntu-16-04

# Versions
CHROME_DRIVER_VERSION=`curl -sS https://chromedriver.storage.googleapis.com/LATEST_RELEASE`