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
[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 |
// 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(); |
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') |
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) |
# 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') |
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) |
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): |
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