Andrew Port mathandy

## getpdfs.py
"""Downloads ArXiv papers linked to in a Google Doc converted to HTML.

Notes:
------
  * tested on OS X with Python 3
  * Requires arxiv (`pip install arxiv`)
  * Names of PDFs will be the papers' titles on ArXiv (with some
    slight formatting changes).
"""

## define.py
"""Scrape the definition of a word (or phrase) from dictionary.com

Usage:
======
python define.py onomatopoeia

Warning:
========
Sometimes (at least with phrases) you'll be unexpectedly redirected
to the definition of another only loosely related word,

## compute-many-points-quickly-using-numpy-arrays.py
"""The goal of this gist is to show how to compute many points on a path
quickly using NumPy arrays.  I.e. there's a much faster way than using, say
[some_path.point(t) for t in many_tvals].  The example below assumes the
`Path` object is composed entirely of `CubicBezier` objects, but this can
easily be generalized to paths containing `Line` and `QuadraticBezier` objects
also.
Note: The relevant matrix transformation for quadratics can be found in the
svgpathtools.bezier module."""

import numpy as np

## xfinity_att_debate.rst

      
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                mathandy
                / xfinity_att_debate.rst
            
            
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              January 4, 2017 02:23
            
              
                We're getting ripped off. No matter what, we need to do something about it.
              
          
    A Fake Scientific Analysis of this Xfinity/AT&T bullshit

Abstract

We're getting ripped off. No matter what, we need to do something about it.
Introduction


## determine-if-svg-path-is-contained-in-other-path-example.py
"""
An example of how to determine if an svg path is contained in another
svg path in Python.

Note: for discontinuous paths you can use the svgpathtools
Path.continuous_subpaths() method to split a paths into a list of its
continuous subpaths.
"""

from svgpathtools import *

## distance-between-two-svg-paths-example.py
from svgpathtools import *

# create some example paths
path1 = CubicBezier(1,2+3j,3-5j,4+1j)
path2 = path1.rotated(60).translated(3)

# find minimizer
from scipy.optimize import fminbound
def dist(t):
	return path1.radialrange(path2.point(t))[0][0]

## tool4c.py
"""
Description:
Takes in a color image and creates a two CSV files storing downsized
matrix (grayscale) and 3-tensor representations of the image.

Instructions:
Put your image in the same folder as this file (tool4c.py),
then open a terminal in that folder and enter:
python tool4c <your_image>
	"""Downloads ArXiv papers linked to in a Google Doc converted to HTML.

	Notes:
	------
	* tested on OS X with Python 3
	* Requires arxiv (`pip install arxiv`)
	* Names of PDFs will be the papers' titles on ArXiv (with some
	slight formatting changes).
	"""
	"""Scrape the definition of a word (or phrase) from dictionary.com

	Usage:
	======
	python define.py onomatopoeia

	Warning:
	========
	Sometimes (at least with phrases) you'll be unexpectedly redirected
	to the definition of another only loosely related word,
	"""The goal of this gist is to show how to compute many points on a path
	quickly using NumPy arrays. I.e. there's a much faster way than using, say
	[some_path.point(t) for t in many_tvals]. The example below assumes the
	`Path` object is composed entirely of `CubicBezier` objects, but this can
	easily be generalized to paths containing `Line` and `QuadraticBezier` objects
	also.
	Note: The relevant matrix transformation for quadratics can be found in the
	svgpathtools.bezier module."""

	import numpy as np
	"""
	An example of how to determine if an svg path is contained in another
	svg path in Python.

	Note: for discontinuous paths you can use the svgpathtools
	Path.continuous_subpaths() method to split a paths into a list of its
	continuous subpaths.
	"""

	from svgpathtools import *
	from svgpathtools import *

	# create some example paths
	path1 = CubicBezier(1,2+3j,3-5j,4+1j)
	path2 = path1.rotated(60).translated(3)

	# find minimizer
	from scipy.optimize import fminbound
	def dist(t):
	return path1.radialrange(path2.point(t))[0][0]
	"""
	Description:
	Takes in a color image and creates a two CSV files storing downsized
	matrix (grayscale) and 3-tensor representations of the image.

	Instructions:
	Put your image in the same folder as this file (tool4c.py),
	then open a terminal in that folder and enter:
	python tool4c <your_image>