sebastianljs

wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add -
sudo apt-get install apt-transport-https
echo "deb https://artifacts.elastic.co/packages/6.x/apt stable main" | sudo tee -a /etc/apt/sources.list.d/elastic-6.x.list
sudo apt-get update && sudo apt-get install elasticsearch
sudo -i service elasticsearch start
sudo /bin/systemctl daemon-reload
sudo /bin/systemctl enable elasticsearch.service
sudo systemctl start elasticsearch.service
curl -X GET 'http://localhost:9200'

sebastianljs

#! bin/env/bash
: '
dependencies:
aws-cli
'


set -eux
ROLE_NAME='ec2-jenkins-role'
ROLE_POLICY_DOC='

sebastianljs

#! bin/env bash
set -eux
sudo yum install docker -y
sudo systemctl start docker.service
sudo systemctl enable docker.service
sudo usermod -a -G docker "$(whoami)"

sebastianljs

#! bin/env/bash
set -eux
sudo wget -O /etc/yum.repos.d/jenksin.repo \
	http://pkg.jenkins-ci.org/redhat/jenkins.repo
sudo rpm --import https://pkg.jenkins.io/redhat/jenkins.io.key
sudo yum install java-1.8.0 -y
sudo yum install jenkins -y
sudo systemctl start jenkins.service
sudo systemctl enable jenkins.service

sebastianljs

-- Finds all salespeople with an order with Samsonic
SELECT DISTINCT sp.name
FROM salesperson sp
  JOIN orders o
    ON sp.id = o.salesperson_id
  JOIN customer c
    ON c.id = o.cust_id AND c.name = 'Samsonic';

-- Find all salespeople with no orders with Samsonic
SELECT sp.name

sebastianljs

gsutil mb gs://your-awesome-bucket/
gsutil list #should have your-awesome-bucket
# Clean up
gsutil rm -r gs://your-awesome-bucket

sebastianljs

#!/usr/bin/env bash
: '
Sets up gcloud service account
Dependencies:
    - gcloud
'
set -eux

GCLOUD_CRED_DIR=<your-credentials-dir>
PROJECT_ID=<your-project-id>

sebastianljs

from google.cloud import storage
import logging
from pprint import pformat

logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
sh = logging.StreamHandler()
sh.setLevel(logging.INFO)
logger.addHandler(sh)

sebastianljs

from scipy.misc import imread, imresize

from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, merge, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD
from googlenet_custom_layers import PoolHelper,LRN


def create_googlenet(weights_path=None):

sebastianljs

<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
  <component name="NewModuleRootManager">
    <content url="file://$MODULE_DIR$" />
    <orderEntry type="inheritedJdk" />
    <orderEntry type="sourceFolder" forTests="false" />
  </component>
  <component name="TestRunnerService">
    <option name="projectConfiguration" value="Nosetests" />
    <option name="PROJECT_TEST_RUNNER" value="Nosetests" />