Thomas Thoren ThomasThoren

## anonymous
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8">
    <title>Marker Fade</title>
    <meta name="viewport" content="width=device-width, initial-scale=1.0">

 <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.4.5/leaflet.css" />
 <!--[if lte IE 8]>
     <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.4.5/leaflet.ie.css" />

## README.md

      
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                amandabee
                / README.md
            
            
              Created
              March 11, 2016 00:30
            
              
                Philadelphia Bail Debt Scraper
              
          
    One or the other of these is the scraper I used for the Philadelphia Court Debt project. I didn't realize until after I promised everyone in the room my code that I had never published it.
Not for nothing, I make no assertion that this is great programming or even remotely reflects best practices in python or scraping. There's plenty here that I would do differently if I did it again today.
I don't even know which of these was the final scraper. I could figure that out but then I'd never get around to throwing it online. So here it is, warts and all.

  
## cr-api-pandas.py
import pandas as pd
import requests

API_URL="http://api.censusreporter.org/1.0/data/show/{release}?table_ids={table_ids}&geo_ids={geoids}"
def get_data(tables=None, geoids=None, release='latest'):
    if geoids is None:
        geoids = ['040|01000US']
    if tables is None:
        tables = ['B01001']

## gis-advice.md

      
              1 file
            
          
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                celoyd
                / gis-advice.md
            
            
              Last active
              June 2, 2016 22:26
            
          
    This is my default career advice for people starting out in geo/GIS, especially remote sensing, adapted from a response to a letter in 2013.

I'm currently about to start a Geography degree at the University of [Redacted] at [Redacted] with a focus in GIS, and I've been finding that I have an interest in working with imagery. Obviously I should take Remote Sensing and other similar classes, but I'm the type of person who likes to self learn as well. So my question is this: What recommendations would you give to a student who is interested in working with imagery? Are there any self study paths that you could recommend?

I learned on my own and on the job, and there are a lot of important topics in GIS that I don’t know anything about, so I can’t give comprehensive advice. I haven’t arrived anywhere; I’m just ten minutes ahead in the convoy we’re both in. Take these recommendations critically.
Find interesting people. You’ll learn a lot more from a great professor (or mentor, or friend, or conference) o

  
## generate_shx.py
# Based on solution given here: http://geospatialpython.com/2011/11/generating-shapefile-shx-files.html
# Depends on pyshp

# Build a new shx index file
import fnmatch
import os
import shapefile

# List all the shapefiles
def find(pattern, path):

## xml-to-har.py
#!/usr/bin/env python
"""
Converts Internet Explorer 'capture network traffic' XML to a HAR file.

Turns out that XML is just a HAR file anyways, but in XML form. So this
just converts it to JSON, and Bob's your uncle.

Requires Python 2.7+ and LXML.
"""
from __future__ import unicode_literals

## hi8-anim-howto.md

      
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                celoyd
                / hi8-anim-howto.md
            
            
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              August 1, 2022 15:37
            
              
                A way to make Himawari-8 animations
              
          
    Himawari-8 animation tutorial

Here’s how to make animations like this one. It requires intermediate Unix command-line knowledge, to install some tools and to debug if they don’t work. You’ll need these utilities:

curl (or you can translate to wget)
convert and montage, part of ImageMagick
ffmpeg, plus whatever codecs
parallel, for iteration that’s nicer than shell for loops or xargs
run everything in zsh for leading 0s in numerical ranges to work


## backup.py
# -*- encoding: UTF-8 -*-

import os
import httplib2

# pip install --upgrade google-api-python-client
from oauth2client.file import Storage
from apiclient.discovery import build
from oauth2client.client import OAuth2WebServerFlow

## Getting started with requirejs.md

      
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                willurd
                /  Getting started with requirejs.md
            
            
              Last active
              December 14, 2022 08:15
            
              
                A short introduction to require.js
              
          
    This is a small collection of scripts showing how to use require.js. It's only one of several ways of setting up a require.js project, but it's enough to get started.
At its core, require.js is about three things:

Dependency management
Modularity
Dynamic script loading

The following files show how these are achieved.

  
## output.tf
output "SSH Config" {
  value = <<SSHCONFIG
  ### START Auto-gen SSH Config for ${random_pet.cluster_id.id} ###

  Host ${random_pet.cluster_id.id}-bastion
    User          core
    Hostname      ${aws_instance.bastion.public_ip}
    IdentityFile  ~/.ssh/${random_pet.cluster_id.id}.key

  Host ${random_pet.cluster_id.id}-agent
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Marker Fade</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">

	<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.4.5/leaflet.css" />
	<!--[if lte IE 8]>
	<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.4.5/leaflet.ie.css" />
	import pandas as pd
	import requests

	API_URL="http://api.censusreporter.org/1.0/data/show/{release}?table_ids={table_ids}&geo_ids={geoids}"
	def get_data(tables=None, geoids=None, release='latest'):
	if geoids is None:
	geoids = ['040\|01000US']
	if tables is None:
	tables = ['B01001']
	# Based on solution given here: http://geospatialpython.com/2011/11/generating-shapefile-shx-files.html
	# Depends on pyshp

	# Build a new shx index file
	import fnmatch
	import os
	import shapefile

	# List all the shapefiles
	def find(pattern, path):
	#!/usr/bin/env python
	"""
	Converts Internet Explorer 'capture network traffic' XML to a HAR file.

	Turns out that XML is just a HAR file anyways, but in XML form. So this
	just converts it to JSON, and Bob's your uncle.

	Requires Python 2.7+ and LXML.
	"""
	from __future__ import unicode_literals
	# -- encoding: UTF-8 --

	import os
	import httplib2

	# pip install --upgrade google-api-python-client
	from oauth2client.file import Storage
	from apiclient.discovery import build
	from oauth2client.client import OAuth2WebServerFlow
	output "SSH Config" {
	value = <<SSHCONFIG
	### START Auto-gen SSH Config for ${random_pet.cluster_id.id} ###

	Host ${random_pet.cluster_id.id}-bastion
	User core
	Hostname ${aws_instance.bastion.public_ip}
	IdentityFile ~/.ssh/${random_pet.cluster_id.id}.key

	Host ${random_pet.cluster_id.id}-agent