Alan Bernstein alanbernstein

## mplpersist.json
{"alans-desktop-some-script.py-main-Figure 1": [2485, 231, 1054, 862]}

## markdown-link-validator.py
#!/usr/bin/env ipython
from glob import glob
import os
import re
# from urlparse import urlparse
from urllib.parse import urlparse

from ipdb import set_trace as debug
from pprint import pprint as pp

## pqli.py
#!/usr/bin/env python3
import argparse
import json
import random
import requests
import time

#from plotly.offline import plot
#import plotly.graph_objs as go

## phylo.py
#!/usr/local/bin/python
import sys
import wikipedia
import requests
import re
from pprint import pprint

# TODO: cache results and use cache to build up a tree
# TODO: handle disambiguation page (e.g., for 'orange')

## music_theory.py
# The code for my article with the same name. You can find it at the URL below:
# https://www.mvanga.com/blog/basic-music-theory-in-200-lines-of-python

# MIT License
#
# Copyright (c) 2021 Manohar Vanga
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights

## crunchberry_vis.py
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, AnnotationBbox

normal_samples_min_max_diam = [
    [12, 14],
    [13, 15],
    [12, 15],

## fillet_demo.py
from matplotlib import pyplot as plt
import numpy as np
from shapely.geometry import Polygon

from ipdb import set_trace as db

def main():
    fillet_demo()


## border-sample-australia.json
[[55.60458963143672, 6.344134770404208], [55.6254632267828, 6.337129830206686], [55.60910039087562, 6.229813623881452], [55.62319315158302, 6.177102890074548], [55.599799681727454, 6.112288249833094], [55.6197243031257, 6.085758465395703], [55.57500185675112, 6.037293331710632], [55.57972586711283, 5.99042398847148], [55.531475137494226, 5.962734650863261], [55.460421247041275, 5.87334504507754], [55.43845503757297, 5.874789476632287], [55.38653276222971, 5.716568106677365], [55.34442623363374, 5.6649444409916905], [55.0906992233307, 5.521413353897024], [55.00428464574901, 5.444832031743397], [54.88500137356685, 5.403923196603118], [54.85919019379097, 5.373908570787792], [54.66938268686648, 5.3725558408613185], [54.58827630940152, 5.319732261307423], [54.52210828523082, 5.31060063116936], [54.45170456646131, 5.26900254435648], [54.43892241772447, 5.239180065187691], [54.430048050840036, 5.2568518437884455], [54.29608058774813, 5.205661074225492], [54.17762938393885, 5.122854327909668], [54.1250721254506, 5.05

## benford.py
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import numpy as np


tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),
             (44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, 150),
             (148, 103, 189), (197, 176, 213), (140, 86, 75), (196, 156, 148),
             (227, 119, 194), (247, 182, 210), (127, 127, 127), (199, 199, 199),
             (188, 189, 34), (219, 219, 141), (23, 190, 207), (158, 218, 229)]

## jqurl
#!/bin/bash
# make an http request via curl
# try to decode it as json with jq
# if it works, pretty print the json
# if it doesn't, ugly print the response

F1="$HOME/tmp.curl"
F2="$HOME/tmp.jq"

curl -s $1 > $F1
	#!/usr/bin/env ipython
	from glob import glob
	import os
	import re
	# from urlparse import urlparse
	from urllib.parse import urlparse

	from ipdb import set_trace as debug
	from pprint import pprint as pp
	#!/usr/bin/env python3
	import argparse
	import json
	import random
	import requests
	import time

	#from plotly.offline import plot
	#import plotly.graph_objs as go
	#!/usr/local/bin/python
	import sys
	import wikipedia
	import requests
	import re
	from pprint import pprint

	# TODO: cache results and use cache to build up a tree
	# TODO: handle disambiguation page (e.g., for 'orange')
	# The code for my article with the same name. You can find it at the URL below:
	# https://www.mvanga.com/blog/basic-music-theory-in-200-lines-of-python

	# MIT License
	#
	# Copyright (c) 2021 Manohar Vanga
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the "Software"), to deal
	# in the Software without restriction, including without limitation the rights
	from collections import defaultdict
	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib.image as mpimg
	from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, AnnotationBbox

	normal_samples_min_max_diam = [
	[12, 14],
	[13, 15],
	[12, 15],
	from matplotlib import pyplot as plt
	import numpy as np
	from shapely.geometry import Polygon

	from ipdb import set_trace as db

	def main():
	fillet_demo()
	import matplotlib.pyplot as plt
	from matplotlib.patches import Rectangle
	import numpy as np


	tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14), (255, 187, 120),
	(44, 160, 44), (152, 223, 138), (214, 39, 40), (255, 152, 150),
	(148, 103, 189), (197, 176, 213), (140, 86, 75), (196, 156, 148),
	(227, 119, 194), (247, 182, 210), (127, 127, 127), (199, 199, 199),
	(188, 189, 34), (219, 219, 141), (23, 190, 207), (158, 218, 229)]
	#!/bin/bash
	# make an http request via curl
	# try to decode it as json with jq
	# if it works, pretty print the json
	# if it doesn't, ugly print the response

	F1="$HOME/tmp.curl"
	F2="$HOME/tmp.jq"

	curl -s $1 > $F1