lssimoes

using Graphs

# This implementation takes too long to create the graphs, so I'm almost sure it's not the best way (certainly is not the only way)
function nsquaregraph(n::Int)
    # Creating Vertices Array
    newvertices = Array(ExVertex, 0)
    for i in 1:n^2
        vertice = ExVertex(i,"eletron")
        vertice.attributes["spin"] = randspin() # randspin() generates randomically -1 or +1
        newvertices = [newvertices, vertice]

lssimoes

# Julia Version 0.4.0-dev+5181
# Commit 98c144b (2015-06-03 14:28 UTC)
#
#  - PyPlot                        1.5.3+             master
#  - PyCall                        0.8.1+             master

using Calculus, PyPlot, Roots

# function being approximated
# still needing to find a way to remove this redundancy..

lssimoes

Plotting

Last Update: 12.12.2014
Offline Version

Contents

• Translating
• Basic Plot
Plot Annotation

lssimoes

#!/bin/bash

link=$1
if [[ ! -n $1 ]]
then
    link=http://w2.vatican.va/content/francesco/pt/apost_letters/documents/papa-francesco_bolla_20150411_misericordiae-vultus.html
fi

curl $link > .tp1

lssimoes

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...