Keno Leon KenoLeon

## numerai-daily-scripts.ipynb

      
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                KenoLeon
                / numerai-daily-scripts.ipynb
            
            
              Created
              May 18, 2023 17:15
            
              
                Numerai Daily Scripts.ipynb
              
          
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## package.json
{
  "name": "medium_electron",
  "version": "1.0.0",
  "description": "Hello World for Medium Article",
  "main": "index.js",
  "scripts": {
    "start": "electron ."
  },
  "author": "",
  "license": "ISC",

## index.js
const { app, BrowserWindow } = require('electron')

const createWindow = () => {
  const win = new BrowserWindow({
    width: 800,
    height: 600,
  })

  win.loadFile('index.html')
}

## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta charset="UTF-8" />
    <!-- https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP -->
    <meta
      http-equiv="Content-Security-Policy"
      content="default-src 'self'; script-src 'self'"
    />
    <meta

## twoTownsAllPaths.py
import networkx as nx
import matplotlib.pyplot as plt

# Extract all simple paths from
# one town to another and calculate
# some basic statistics.


# Init A Graph in networkx
G = nx.Graph()

## twoTownsRandomGraph.py
import networkx as nx
import matplotlib.pyplot as plt


# Simple Two Town graph in networkx with weight data and random graph

# Init A Graph in networkx
G = nx.Graph()

# Townspeople and towns

## twoTownsWeights.py
import networkx as nx
import matplotlib.pyplot as plt


# Simple Two Town graph in networkx with weight data

# Init A Graph in networkx
G = nx.Graph()

# Townspeople and towns

## twoTowns.py
import networkx as nx
import matplotlib.pyplot as plt


# Simple Two Town graph in networkx

# Init A Graph in networkx
G = nx.Graph()

# Townspeople and towns

## networkx_simplegraph.py
import networkx as nx
import matplotlib.pyplot as plt

# Basic Example for networkx

# Init A Graph in networkx
G = nx.Graph()

# Add Single Node:
G.add_node(1)

## coingeck_API_Call_ParseFilter.py
from pycoingecko import CoinGeckoAPI
import datetime as dt

# today in Timestamp
today = dt.datetime.today()
today_unix = today.timestamp()

# today minus 100 days in Timestamp
today_minus_100 = today - dt.timedelta(days=100)
today_minus_100_unix = today_minus_100.timestamp()
	{
	"name": "medium_electron",
	"version": "1.0.0",
	"description": "Hello World for Medium Article",
	"main": "index.js",
	"scripts": {
	"start": "electron ."
	},
	"author": "",
	"license": "ISC",
	const { app, BrowserWindow } = require('electron')

	const createWindow = () => {
	const win = new BrowserWindow({
	width: 800,
	height: 600,
	})

	win.loadFile('index.html')
	}
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="UTF-8" />
	<!-- https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP -->
	<meta
	http-equiv="Content-Security-Policy"
	content="default-src 'self'; script-src 'self'"
	/>
	<meta
	import networkx as nx
	import matplotlib.pyplot as plt

	# Extract all simple paths from
	# one town to another and calculate
	# some basic statistics.


	# Init A Graph in networkx
	G = nx.Graph()
	import networkx as nx
	import matplotlib.pyplot as plt


	# Simple Two Town graph in networkx with weight data and random graph

	# Init A Graph in networkx
	G = nx.Graph()

	# Townspeople and towns
	import networkx as nx
	import matplotlib.pyplot as plt


	# Simple Two Town graph in networkx

	# Init A Graph in networkx
	G = nx.Graph()

	# Townspeople and towns
	import networkx as nx
	import matplotlib.pyplot as plt

	# Basic Example for networkx

	# Init A Graph in networkx
	G = nx.Graph()

	# Add Single Node:
	G.add_node(1)
	from pycoingecko import CoinGeckoAPI
	import datetime as dt

	# today in Timestamp
	today = dt.datetime.today()
	today_unix = today.timestamp()

	# today minus 100 days in Timestamp
	today_minus_100 = today - dt.timedelta(days=100)
	today_minus_100_unix = today_minus_100.timestamp()