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{
      unauthorized: 'unauthorized',

      token_based_subscription_create_service: {
          create_error: 'create_error',
          user_not_found: 'user_not_found',
          merchant_not_found: 'merchant_not_found'
      },

      subscription_charge_service: {

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-- show running queries (pre 9.2)
SELECT procpid, age(query_start, clock_timestamp()), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(query_start, clock_timestamp()), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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# docker build -t ubuntu1604py36
FROM ubuntu:16.04

RUN apt-get update
RUN apt-get install -y software-properties-common vim
RUN add-apt-repository ppa:jonathonf/python-3.6
RUN apt-get update

RUN apt-get install -y build-essential python3.6 python3.6-dev python3-pip python3.6-venv
RUN apt-get install -y git

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Step by step how to pull a private DockerHub hosted image in a Kubernetes YML.

export DOCKER_REGISTRY_SERVER=https://index.docker.io/v1/
export DOCKER_USER=Type your dockerhub username, same as when you `docker login`
export DOCKER_EMAIL=Type your dockerhub email, same as when you `docker login`
export DOCKER_PASSWORD=Type your dockerhub pw, same as when you `docker login`

kubectl create secret docker-registry myregistrykey \
  --docker-server=$DOCKER_REGISTRY_SERVER \
  --docker-username=$DOCKER_USER \

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DHT Walkthrough Notes

I've put together these notes as I read about DHT's in depth and then learned how the libtorrent implementation based on the Kademlia paper actually works.

What problem does this solve?

400,000,000,000 (400 billion stars), that's a 4 followed by 11 zeros. The number of atoms in the universe is estimated to be around 10^82. A DHT with keys of 160 bits, can have 2^160 possible numbers, which is around 10^48

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{
  "logging": {
    "version": 1,
    "disable_existing_loggers": true,
    "formatters": {
      "brief": {
        "class": "logging.Formatter",
        "datefmt": "%I:%M:%S",
        "format": "%(levelname)-8s; %(name)-15s; %(message)s"
      },

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{
  "logging": {
    "version": 1,
    "disable_existing_loggers": true,
    "formatters": {
      "brief": {
        "class": "logging.Formatter",
        "datefmt": "%I:%M:%S",
        "format": "%(levelname)-8s; %(name)-15s; %(message)s"
      },

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#!/bin/bash

# this script installs GCC 4.9.3 
# to use it navigate to your home directory and type:
# sh install-gcc-4.9.3.sh

# download and install gcc 4.9.3
wget https://ftp.gnu.org/gnu/gcc/gcc-4.9.3/gcc-4.9.3.tar.gz
tar xzf gcc-4.9.3.tar.gz
cd gcc-4.9.3

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import s3fs
import pickle
import json
import numpy as np

BUCKET_NAME = "my-bucket"

# definitions, keras/tf/... imports...

if __name__ == "__main__":

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1. Change your database RDS instance security group to allow your machine to access it.
   • Add your ip to the security group to acces the instance via Postgres.
2. Make a copy of the database using pg_dump
   • $ pg_dump -h <public dns> -U <my username> -f <name of dump file .sql> <name of my database>
   • you will be asked for postgressql password.
   • a dump file(.sql) will be created
3. Restore that dump file to your local database.
   • but you might need to drop the database and create it first
   • $ psql -U <postgresql username> -d <database name> -f <dump file that you want to restore>

• the database is restored