joelotz

<?xml version="1.0" encoding="UTF-8"?>
<presets xmlns="http://josm.openstreetmap.de/tagging-preset-1.0"
		author="Joe Lotz"
		version="0.1"
		description="My personal preset file for the tags that I frequently use">

<group name="A-MyPresets">    
  <item name="Sidewalk" type="way">
	<link wiki="Tag:footway%3Dsidewalk" />
    <label text="Inserting a unidirectional sidewalk" />

joelotz

joelotz

# -- Credits --
# copied from https://gist.github.com/hurricup/e14ae5bc47705fca6b1680e7a1fb6580
# which in turn was inspired by https://gist.github.com/rjnienaber/af47fccb8410926ba7ea35f96c3b87fd

# 1. Remove old bundled ImageMagick program
sudo apt remove imagemagick -y

# 1b. Update and install libraries for buidling from source
sudo apt update
sudo apt install build-essential

joelotz

"""This is a quick little script that converts pelican metadata syntax into 
pandoc metadata syntax. This is simply as you just need to fence it in with 3-dashes.
This adds this to all files in current dir with .md extension
"""

from os import walk
 
def list_files(directory, extension):
    for (dirpath, dirnames, filenames) in walk(directory):
        return (f for f in filenames if f.endswith('.' + extension))

joelotz

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Convert a music .cue file into a label file.

This module will accept an optional string attribute that specifies the input
.cue file. If this file is not provided in the call then file-select box will
be presented to the user. Output is a .txt file of labels that can be input
into Audacity.

Examples:

joelotz

div.admonition {
  padding: 0;
  margin-bottom: 20px;
  background-color: #fcf8e3;
  border: 1px solid;
  border-bottom-left-radius: var(--border-radius);
  border-bottom-right-radius: var(--border-radius);
}

div.admonition p {

joelotz

#!/bin/sh

# A shell script to log personal body weights into /mnt/DataDrive/Documents/WeightLog.txt file
# Written by: Joe Lotz
# Last updated: 2020/June/11
#
# logweight --help
# --------------------------------------------------------------

# Set vars

joelotz

joelotz

{
 "metadata": {
  "name": "",
  "signature": "sha256:f8edf9c1663e0e67e6fbbbfbfc78f83f1f702f53194b9792e22bda26e5b094e5"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

joelotz

%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker 
import pandas as pd

data = pd.DataFrame.from_csv('askmefi_category_year.tsv', sep='\t')

categories = data.category.unique()
mydata = {}
for i in categories: