Douglas Duhaime duhaime

## gh-pages-deploy.md

      
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                duhaime
                / gh-pages-deploy.md
            
            
              Created
              June 18, 2018 22:51
                — forked from cobyism/gh-pages-deploy.md
            
              
                Deploy to `gh-pages` from a `dist` folder on the master branch. Useful for use with [yeoman](http://yeoman.io).
              
          
    Deploying a subfolder to GitHub Pages

Sometimes you want to have a subdirectory on the master branch be the root directory of a repository’s gh-pages branch. This is useful for things like sites developed with Yeoman, or if you have a Jekyll site contained in the master branch alongside the rest of your code.
For the sake of this example, let’s pretend the subfolder containing your site is named dist.
Step 1

Remove the dist directory from the project’s .gitignore file (it’s ignored by default by Yeoman).

  
## gist:a2176ac71215c080b243d6c87df5739c
sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
sudo sed -i s/\$releasever/6/g /etc/yum.repos.d/epel-apache-maven.repo
sudo yum install -y apache-maven
mvn --version

## .block
license: mit

## .block
license: gpl-3.0

## README.md

      
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                duhaime
                / README.md
            
            
              Created
              October 1, 2018 01:09
                — forked from armollica/README.md
            
              
                K-D Tree Nearest Neighbors (k-NN)
              
          
    k-d tree nearest neighbors search
(k-NN). The red dots are the 10 nearest neighbors.
Orange dots are scanned and not selected.
Compare with this block that implements
a k nearest neighbor search using a quadtree instead of a k-d tree.
The algorithm for this search came from
this course handout.
Note that the "k" in k-d tree need not be the same number as the "k" in

  
## README.md

      
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                duhaime
                / README.md
            
            
              Created
              October 1, 2018 01:12
                — forked from armollica/README.md
            
              
                K-Nearest Neighbors
              
          
    K-nearest neighbors search of a 2D set of points.
Move the slider or scroll to change k.
The algorithm was adapted from this block

  
## index.html
<html>
    <head>
        <title>
            [Visualizing Movement Data with D3.js]
        </title>
        <script src="https://d3js.org/d3.v4.min.js"></script>
        <script src="https://omid.al/Mova-Viz/MovaViz-v0.1.2.js"></script>
        <style>
            * {
                box-sizing: border-box

## .block
license: gpl-3.0
border: no
scrolling: no
height: 500

## bezier_curves.py
import matplotlib

matplotlib.use('webagg')

import numpy as np
from scipy.special import binom

import matplotlib.pyplot as plt

from matplotlib.lines import Line2D

## separate_points.py
def lat_lon_hex_mesh(bounds, d=3):
    """Creates a hexagonal lat/lon mesh within bounds that has a radial separation of d"""

    lone, lonw, lats, latn = bounds

    # heigt of equilatral triangle from radial distance sqrt(r^2 - (r/2)^2)
    h = np.sqrt(0.75) * d
    w = d / 2

    lat_vals = np.arange(lats, latn, h)
	sudo wget http://repos.fedorapeople.org/repos/dchen/apache-maven/epel-apache-maven.repo -O /etc/yum.repos.d/epel-apache-maven.repo
	sudo sed -i s/\$releasever/6/g /etc/yum.repos.d/epel-apache-maven.repo
	sudo yum install -y apache-maven
	mvn --version
	<html>
	<head>
	<title>
	[Visualizing Movement Data with D3.js]
	</title>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://omid.al/Mova-Viz/MovaViz-v0.1.2.js"></script>
	<style>
	* {
	box-sizing: border-box
	import matplotlib

	matplotlib.use('webagg')

	import numpy as np
	from scipy.special import binom

	import matplotlib.pyplot as plt

	from matplotlib.lines import Line2D
	def lat_lon_hex_mesh(bounds, d=3):
	"""Creates a hexagonal lat/lon mesh within bounds that has a radial separation of d"""

	lone, lonw, lats, latn = bounds

	# heigt of equilatral triangle from radial distance sqrt(r^2 - (r/2)^2)
	h = np.sqrt(0.75) * d
	w = d / 2

	lat_vals = np.arange(lats, latn, h)