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David Hay misterhay

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@misterhay
misterhay / RockPaperScissors.java
Created October 8, 2022 16:59
Basic One-Player Rock, Paper, Scissors in Java
import java.util.Scanner;
import java.util.Arrays;
public class RockPaperScissors
{
public static void RockPaperScissors()
{
String[] possibleChoices = {"rock", "paper", "scissors"};
Scanner userInput = new Scanner(System.in); // create a Scanner for getting user input
String playerChoice = ""; // declare an empty variable that we'll fill with the user input
@misterhay
misterhay / X32_demo.py
Created October 3, 2022 21:03
A quick demo of X32 OSC functions
from pythonosc import udp_client
from time import sleep
client = udp_client.SimpleUDPClient('192.168.1.126', 10023)
for x in range(5):
for i in range(9):
client.send_message('/ch/0'+str(i)+'/mix/on', 0)
client.send_message('/ch/0'+str(i)+'/mix/fader', 0.1)
sleep(0.5)
for c in range(16):
client.send_message('/ch/0'+str(i)+'/config/color', c)
@misterhay
misterhay / callysto-nbgitpuller-bookmarklet.js
Last active August 16, 2022 17:16
Javascript bookmarklet to generate nbgitpuller links from GitHub repositories. Create a bookmark and replace the URL of the new bookmark with the code below.
javascript:(function(){var url=location.href;var res=url.split("/");var site=res[2];var user=res[3];var repo=res[4];var treeBlob=res[5];var branch=res[6];var nbgitputllerUrl="https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=";if(site=="github.com"){if(treeBlob){var subPath=url.substring(url.indexOf(branch)+branch.length+1);nbgitputllerUrl+=encodeURIComponent("https://github.com/"+user+"/")+repo+"&branch="+branch+"&subPath="+subPath+"&depth=1";}else{nbgitputllerUrl+=url;}}window.prompt("Callysto nbgitpuller link",nbgitputllerUrl);})();
@misterhay
misterhay / phidgets-jupyter-demo.html
Created July 20, 2022 21:59
%%html
<script>
requirejs.config({
paths: {
'phidget22': ['https://unpkg.com/phidget22@^3.10/browser/phidget22'],
}, // strip .js ^, require adds it back
});
var usbconn;
require(['phidget22'], function(phidget22) {
@misterhay
misterhay / pandas-cheatsheet.md
Last active July 20, 2022 15:23
Pandas cheatsheet, syntax of common commands

Pandas Cheatsheet

import pandas as pd

Creating a DataFrame

from online data




  


  




    


          
    

      

        
        

          

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                misterhay
                / wisdom-of-the-crowd.ipynb
            
            

              Last active
              July 11, 2022 16:26
            

              
                A "Wisdom of the Crowd" Callysto 
              
          

        

      

        

  

    
    


          

    

      
      
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                misterhay
                / datalogging.py
            
            

              Created
              June 19, 2022 00:07
            

              
                Python code for logging data to (and retrieving data from) EtherCalc.net
              
          

        

      

        

  

    
    


        



  


  

        

          
          class_code = '5L'
        

        

          
          value = 12
        

        

          
          

        

        

          
          from datetime import datetime
        

        

          
          import requests
        

        

          
          import pandas as pd
        

        

          
          

        

        

          
          ethercalc_id = 'callysto'  # can be the same as class_code, or randomly generated
        

        

          
          base_url = 'https://ethercalc.net/'
        

        

          
          post_url = base_url+'_/'+ethercalc_id
        

  





    


  




    


          
    

      

        
        

          

              @misterhay
          

          

            
                misterhay
                / graph-alberta-energy-generation.py
            
            

              Created
              February 15, 2022 04:49
            

              
                Pull data from http://ets.aeso.ca/ets_web/ip/Market/Reports/CSDReportServlet and graph totals
              
          

        

      

        

  

    
    


        



  


  

        

          
          import pandas as pd
        

        

          
          import plotly.express as px
        

        

          
          

        

        

          
          url = 'http://ets.aeso.ca/ets_web/ip/Market/Reports/CSDReportServlet'
        

        

          
          df = pd.read_html(url, header=0)
        

        

          
          

        

        

          
          updated = df[1].columns[-1].split(': ')[1]
        

        

          
          legend = df[1]['Legend'].values.tolist()
        

        

          
          notes = df[1]['Legend.1'].dropna().values.tolist()
        

  





    


  




    


          
    

      

        
        

          

              @misterhay
          

          

            
                misterhay
                / join-downloaded-climate-data.py
            
            

              Created
              January 27, 2022 01:05
            

              
                Canadian temperature and precipitation 30 year averages for Canada from World Bank Climate Change Knowledge Portal
              
          

        

      

        

  

    
    


        



  


  

        

          
          # download csv files from https://climateknowledgeportal.worldbank.org/download-data
        

        

          
          

        

        

          
          import pandas as pd
        

        

          
          import os
        

        

          
          

        

        

          
          df = pd.DataFrame()
        

        

          
          for root, dirs, files in os.walk('.'):
        

        

          
              for name in files:
        

        

          
                  if name.endswith('.csv'):
        

        

          
                      df2 = pd.read_csv(os.path.join(root, name), skiprows=1)
        

  





    


  




    


          
    

      

        
        

          

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                misterhay
                / gapminder-electricity-use-and-carbon-dioxide-production.py
            
            

              Last active
              January 24, 2022 18:32
            

              
                Create a double bar graph from Gapminder data
              
          

        

      

        

  

    
    


        



  


  

        

          
          countries = sorted(['Canada','United States','Mexico','Costa Rica','China'])
        

        

          
          year = '2013'
        

        

          
          

        

        

          
          import pandas as pd
        

        

          
          co2 = pd.read_csv('https://docs.google.com/spreadsheets/d/1VxxG9XJNG5oFXBo_0TTCP_sQ9wEv3Oy5SEOlR_0du5c/export?gid=1415343215&format=csv')
        

        

          
          electricity = pd.read_csv('https://docs.google.com/spreadsheets/d/1L9CAwtcOoG3WfGkrFOYjAByaznce-DGE1dPK-1-23PU/export?gid=1944428591&format=csv')
        

        

          
          

        

        

          
          y1 = co2[co2['country'].isin(countries)][year]
        

        

          
          y2 = electricity[electricity['country'].isin(countries)][year]/1000
        

        

          
          y1_name = 'Carbon Dioxide Emissions per Person'