indera

#!/usr/bin/env python
"""
Very simple HTTP server in python (Updated for Python 3.7)

Usage:

    ./dummy-web-server.py -h
    ./dummy-web-server.py -l localhost -p 8000

Send a GET request:

indera

A minimal HTTP server in python. It sends a JSON Hello World for GET requests, and echoes back JSON for POST requests.

python server.py 8009
Starting httpd on port 8009...

curl http://localhost:8009
{"received": "ok", "hello": "world"}

indera

Use struct{} as keys for context.Value() in Go

In the other file of this gist I detail why we should use struct{} as context.Value() keys and not int or string. Open gist to see main.go but the TLDR is:

	type key struct{}
	ctx = context.WithValue(ctx, key{}, "my value") // Set value
	myValue, ok := ctx.Value(key{}).(string) // Get value

indera

Typing vagrant from the command line will display a list of all available commands.

Be sure that you are in the same directory as the Vagrantfile when running these commands!

Creating a VM

• vagrant init -- Initialize Vagrant with a Vagrantfile and ./.vagrant directory, using no specified base image. Before you can do vagrant up, you'll need to specify a base image in the Vagrantfile.
• vagrant init <boxpath> -- Initialize Vagrant with a specific box. To find a box, go to the public Vagrant box catalog. When you find one you like, just replace it's name with boxpath. For example, vagrant init ubuntu/trusty64.

Starting a VM

• vagrant up -- starts vagrant environment (also provisions only on the FIRST vagrant up)

indera

Every so often I have to restore my gpg keys and I'm never sure how best to do it. So, I've spent some time playing around with the various ways to export/import (backup/restore) keys.

Method 1

Backup the public and secret keyrings and trust database

cp ~/.gnupg/pubring.gpg /path/to/backups/
cp ~/.gnupg/secring.gpg /path/to/backups/
cp ~/.gnupg/trustdb.gpg /path/to/backups/

or, instead of backing up trustdb...

indera

indera

"""
Detect groups having common values

Example: unpack.csv

PATID, HASH_1, HASH_2
pat_1, a, b
pat_2, x
pat_3, , y
pat_4, a, c

indera

import pandas as pd

bad_px = ["12", "34"]

df = pd.DataFrame({
    "px_id": [1, 2, 3],
    "px": ["12", "34", "56"],
    "px_type": ["10", "10", "09"]
})

indera

#!/usr/bin/env python
"""
Goal: search multiple LOINC codes in a reference file
"""
import argparse
import sys
import pandas as pd
# from contextlib import redirect_stdout
# import io
pd.set_option('display.width', 2500)

indera

defmodule App.SignupChannel do
  use App.Web, :channel
  alias App.User
  import Ecto.Changeset
  require Logger

  def join("signup", _params, socket) do
    send self(), {:sign_up, _params}
    {:ok, socket}
  end