tyliec

[cluster]
  mysql-master = githubapp030
  redis-master = githubapp030
  mysql-auto-failover = false
  primary-datacenter = usspk01

[cluster "githubdata025"]
  hostname = githubdata025
  rack = US.RMR.02.01.0309.07.011

tyliec

// Starter Code: https://gist.github.com/eslachance/3349734a98d30011bb202f47342601d3#file-index_v12-js
const Discord = require("discord.js");
const speech = require('@google-cloud/speech');
const fs = require('fs');

/*
 DISCORD.JS VERSION 12 CODE
*/

const client = new Discord.Client();

tyliec

from sklearn.datasets import make_blobs
import numpy as np
import matplotlib.pyplot as plt
import random
import math

def plot_k_means(x, r, k, centers):
    #random_colors = np.random.random((k, 3))
    #colors = r.dot(random_colors)
    #colors = ('black')

tyliec

import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs


def plot_k_means(x, r, k, centers, colors):
    # print(r[:20])
    # plt.scatter(x[:,0], x[:,1], c=('red', 'blue', 'green'))
    # plt.scatter(x[:,0], x[:,1], c=('black', 'black', 'black'))
    plt.scatter(x[:,0], x[:,1], c=colors)

tyliec

# import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans

X = -2 * np.random.rand(100, 2)
X1 = 1 + 2 * np.random.rand(50, 2)
X[50:100, :] = X1

plt.scatter(X[:,0], X[:,1], s = 50, c = 'b')

tyliec

import numpy as np
import random
import matplotlib.pyplot as plt

class Perceptron(object):

    def __init__(self, no_of_inputs, threshold=100, learning_rate=0.01):
        self.threshold = threshold
        self.learning_rate = learning_rate
        self.weights = np.zeros(no_of_inputs + 1)

tyliec

import numpy as np

class Perceptron(object):

    def __init__(self, no_of_inputs, threshold=100, learning_rate=0.01):
        self.threshold = threshold
        self.learning_rate = learning_rate
        self.weights = np.zeros(no_of_inputs + 1)
           
    def predict(self, inputs):

tyliec

This is a Terraria Server Setup Guide for Digital Ocean

This guide might not do everything the right way, but it works.

No bullshit. Straight up what I did to get it working. (Ubuntu 16.04 64bit)

ssh into your droplet

Update your shit