ricardodeazambuja

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

ryderdamen

Uploading Files from Google Compute Engine (GCE) VMs to Google Cloud Storage (GCS)

I had a bit of trouble trying to configure permissions to upload files from my Google Compute Engine instance to my Google Cloud Storage bucket. The process isn't as intuitive as you think. There are a few permissions issues that need to be configured before this can happen. Here are the steps I took to get things working.

Let's say you want to upload yourfile.txt to a GCS bucket from your virtual machine. You can use the gsutil command line tool that comes installed on all GCE instances.

If you've never used the gcloud or gsutil command line tools on this machine before, you will need to initialize them with a service account.

bact

# thai_strftime()
# Thai date and time string formatter
# Formatting directives similar to datetime.strftime()
#
# จัดรูปแบบข้อความวันที่และเวลา แบบเดียวกับ datetime.strftime()
# โดยจะใช้ชื่อเดือนเป็นภาษาไทย และปีเป็นพุทธศักราช
# (ไม่รองรับปีก่อน พ.ศ. 2484 - ก่อนการเปลี่ยนวันปีใหม่ไทย)
#
# No Rights Reserved
# PUBLIC DOMAIN or CC0 1.0 Universal

costrouc

Practice Exam Attempt (3) Carefully taken with notes

Got an 16/20 on the latest practice exam. Missed questions 5, 7, 12, 13.

Summary of why missed each question:

5

always favor simpler method (cbt (cloud big query tool) vs hbase cli) … I feel uneasy with this answer

7

prefer simpler method. pub/sub more than capable. kafka is overkill. this question showed my lack of knowledge of pub/sub capabilities

greenstick

#! /usr/bin/env python3

"""
Development Version: Python 3.5.1
Author: Benjamin Cordier
Description: Module For Performance 
Assessment of Classification Task
License: BSD 3 Clause

--

IAmSuyogJadhav

import cv2

image = cv2.imread('test.jpg')
overlay = image.copy()

x, y, w, h = 10, 10, 10, 10  # Rectangle parameters
cv2.rectangle(overlay, (x, y), (x+w, y+h), (0, 200, 0), -1)  # A filled rectangle

alpha = 0.4  # Transparency factor.

JustinShenk

#!/bin/bash
# Add to instance metadata with `gcloud compute instances add-metadata \
#   instance-name --metadata-from-file startup-script=idle-shutdown.sh` and reboot
# NOTE: requires `bc`, eg, sudo apt-get install bc
# Modified from https://stackoverflow.com/questions/30556920/how-can-i-automatically-kill-idle-gce-instances-based-on-cpu-usage
threshold=0.1

count=0
wait_minutes=60
while true

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

markuskont

# -*- mode: ruby -*-
# vi: set ft=ruby :

LIBVIRT_POOL = 'fast'

Vagrant.configure("2") do |config|
  config.vm.box = "generic/ubuntu1604"
  config.vm.synced_folder ".", "/vagrant", type: "nfs", nfs_udp: false
  #config.vm.synced_folder "../../datastore/spindle/ML/datasets/", "/mnt", type: "nfs", nfs_udp: false
  config.vm.network "private_network", :dev => "br0", :mode => 'bridge', :ip => "192.168.17.25"

wronk

Overview of Python Virtual Environments

This guide is targetted at intermediate or expert users who want low-level control over their Python environments.

When you're working on multiple coding projects, you might want a couple different version of Python and/or modules installed. This helps keep each workflow in its own sandbox instead of trying to juggle multiple projects (each with different dependencies) on your system's version of Python. The guide here covers one way to handle multiple Python versions and Python environments on your own (i.e., without a package manager like conda). See the Using the workflow section to view the end result.

h/t @sharkinsspatial for linking me to the perfect cartoon