niw

#!/usr/bin/env bash

# fetch_nike_puls_all_activities.bash
# A simple bash script to fetch all activities and metrics from NikePlus.
# See `nike_plus_api.md` for the API details.

readonly bearer_token="$1"
if [[ -z "$bearer_token" ]]; then
  echo "Usage: $0 bearer_token"
  exit

JKirchartz

How to use these files

in gnu-like systems

sed -f rm-en-wordlist-on-lines.sed corpus.list > output.file

should suffice, however on OSX, it may be required to run sed like this:

ellisvalentiner

#!/usr/bin/env/python

import psycopg2
import os
from io import StringIO
import pandas as pd

# Get a database connection
dsn = os.environ.get('DB_DSN')  # Use ENV vars: keep it secret, keep it safe
conn = psycopg2.connect(dsn)

magnetikonline

AWS CLI JMESPath cheatsheet

Random query recipes of JMESPath for the AWS CLI tools that I might have written or stumbled upon.

• Examples
  • List available AWS regions
  • List Lambda functions within AWS account region
  • Test if specific Lambda function exists
  • List Route 53 record names and their type for a zone
  • List CloudWatch log groups

jobelenus

John Obelenus, jobelenus@activefrequency.com

Websockets are basically the same sockets you used in your college programming courses.

Base websocket class

class BaseJsonWebsocketConsumer(JsonWebsocketConsumer):

    def send(self, content, close=False):
        """

niranjv

# A virtualenv running Python3.6 on Amazon Linux/EC2 (approximately) simulates the Python 3.6 Docker container used by Lambda
# and can be used for developing/testing Python 3.6 Lambda functions
# This script installs Python 3.6 on an EC2 instance running Amazon Linux and creates a virtualenv running this version of Python
# This is required because Amazon Linux does not come with Python 3.6 pre-installed 
# and several packages available in Amazon Linux are not available in the Lambda Python 3.6 runtime

# The script has been tested successfully on a t2.micro EC2 instance (Root device type: ebs; Virtualization type: hvm)
# running Amazon Linux AMI 2017.03.0 (HVM), SSD Volume Type - ami-c58c1dd3
# and was developed with the help of AWS Support

kravik

import Vision
//1
let sourceImage = UIImage(named: "jony.jpg")
var resultImage = sourceImage
//2
let detectFaceRequest = VNDetectFaceLandmarksRequest { (request, error) in
  //4
  if let results = request.results as? [VNFaceObservation] {
    //5
    for faceObservation in results {

tobywf

from io import BytesIO
import gzip
import shutil


def upload_gzipped(bucket, key, fp, compressed_fp=None, content_type='text/plain'):
    """Compress and upload the contents from fp to S3.

    If compressed_fp is None, the compression is performed in memory.
    """

rambabusaravanan

import smtplib
import os

def send_email(host, port, username, password, subject, body, mail_to, mail_from = None, reply_to = None):
    if mail_from is None: mail_from = username
    if reply_to is None: reply_to = mail_to

    message = """From: %s\nTo: %s\nReply-To: %s\nSubject: %s\n\n%s""" % (mail_from, mail_to, reply_to, subject, body)
    print (message)
    try:

BlackArbsCEO

import pandas as pd
import numpy as np
import re

# ================================================
class option_parser:
    def __init__(self, symbol, response):
        self.symbol = symbol
        self.response = response
    # ------------------------------------------------