afonsoguerra

afonsoguerra

UCL Eduroam on Raspberry Pi

add this to /etc/wpa_supplicant/wpa_supplicant.conf

network = {
ssid="eduroam"
key_mgmt=WPA-EAP IEEE8021X
eap=PEAP
identity="#####@ucl.ac.uk"
anonymous_identity="[email protected]"

afonsoguerra

// points = number of points (minimum 3)
// outer  = radius to outer points
// inner  = radius to inner points
module Star(points, outer, inner) {
	
	// polar to cartesian: radius/angle to x/y
	function x(r, a) = r * cos(a);
	function y(r, a) = r * sin(a);
	
	// angular width of each pie slice of the star

afonsoguerra

You can use IGV to automatically & programmatically load genomic datasets and take snapshots of regions of interest. This is very handy and helps you avoid taking many screenshots manually.

Manual page here:

http://software.broadinstitute.org/software/igv/batch

These commands are also available:

http://software.broadinstitute.org/software/igv/PortCommands

afonsoguerra

#!/usr/bin/env python

import io
import os
import pandas as pd


def read_vcf(path):
    with open(path, 'r') as f:
        lines = [l for l in f if not l.startswith('##')]

afonsoguerra

How to recover pictures and files from failed MacOS / HFS+ hard drive with Linux

A couple months ago, a friend ask me to repair a failing macintosh.

It appears the hard drive has multiple failures from SMART anlysis.

Next reboot... Oh crap, the operating system does not start anymore. The drive contains 10 years of pictures to recover. A heart pinch :'(

Important thing to know, if (certainely) the disk is crypted and you don't know the principal user login password,

afonsoguerra

#!/bin/sh

set -ue

[ "$#" -lt 2 ] && { echo "Syntax: $0 <filename> <key>"; exit 1; } 

filename="$1"
key="$2"

# Compose the key by repeating the user input until we have 32 characters (64 hex digits) 

afonsoguerra

import os
os.environ['OPENAI_API_KEY'] = '<Your OpenAI API Key>'

# See here on how to find your Zotero info: https://github.com/urschrei/pyzotero#quickstart
ZOTERO_USER_ID = '<Your Zotero User ID>'
ZOTERO_API_KEY = '<Your Zotero API Key>'
ZOTERO_COLLECTION_ID = '<Your Zotero Collection ID>'

question = 'What predictive models are used in materials discovery?'
# The following prompt instruction is injected to limit the number of keywords per query

afonsoguerra

import requests
import re
import sys

# Initial work from: https://mpetroff.net/2016/07/new-amazon-dash-button-teardown-jk29lp/

h = requests.Session()

BASE_URL = "http://192.168.0.1"

afonsoguerra

# Why?
# To paste text into windows that normally don't allow it or have access to the clipboard.
# Examples: Virtual machines that do not yet have tools installed, websites that hijack paste
#
# Extended vs Simple?
# * Includes an initial delay to allow you to change active windows
# * Adds small delay between keypresses for slower responding windows like SSH sessions
# * Better handling of numbers
# * VMWare bug fix
#