jordan-chalupka

from datadog import datadog_lambda_wrapper, statsd
import time

@datadog_lambda_wrapper
def lambda_handler(event, context):
    x = event['x']
    y = event['y']
    z = event['z']
    start_time = time.time()
    result = perform_complex_calculation(x, y, z)

jordan-chalupka

import tensorflow as tf

def lambda_handler(event, context):
    # Simple hello world using TensorFlow
    hello = tf.constant('Hello, TensorFlow!')
    
    # Start tf session
    sess = tf.Session()

    # Run the op

jordan-chalupka

import subprocess
import os

def run(command):
    print(command)
    process = subprocess.call(command, shell=True, cwd='/tmp/')

def lambda_handler(event, context):
    GITHUB_EMAIL = os.environ['GITHUB_EMAIL']
    GITHUB_USERNAME = os.environ['GITHUB_USERNAME']

jordan-chalupka

pip install numpy -t deployment_package
cp lambda_handler.py deployment_package
(cd deployment_package && zip -r ../package.zip .)

jordan-chalupka

import numpy as np

def lambda_handler(event, context):
    input_array = np.array(event['array'])
    num_dimensions = input_array.ndim

    return num_dimensions