Martin Capodici mcapodici

This is a braindump of excellent tools & services that are free or really cheap that you can use to bootstrap something on the side.

I only include services with a generous enough free-tier plan that you can probably use it for a long time before needing to ugrade, reducing the pressure to make money from the beginning.

Email Services

Regular Email Service

Zoho: https://www.zoho.com/mail/ - offers a generious free tier that allows you to connect a single domain name, and a pretty decent user interface. They provide a catchall facility so you can receive emails on many different aliases.

Using autograd to confirm answers to CSC321 Winter 2018, Hw2, Q3

import torch
from torch.autograd import Variable

torch.manual_seed(0)

import torch

W1 = torch.tensor([[1,-1,0,0],[0,1,-1,0],[0,0,1,-1]])
W1

Certainly! I can help you understand how to use the get() function in Firestore security rules to make permissions dependent on data within another collection. Although I don't have the ability to share photos directly, I can guide you through the process step by step.

Let's assume you have a Firestore database structure as follows:

- parentCollection (collection)
  - documentA (document)
    - subCollectionX (collection)
      - subDocumentX (document)
 - documentB (document)

	using System;
	using System.Collections.Generic;
	using System.Linq;

	namespace Monad
	{
	class Program
	{
	static void Main(string[] args)
	{

	1. Install user CSS extension (or similar): https://chrome.google.com/webstore/detail/user-css/okpjlejfhacmgjkmknjhadmkdbcldfcb?hl=en
	2. Apply the following style to news.ycombinator.com

	.c00, .c00 a:link { color:#000000; }
	.c5a, .c5a a:link, .c5a a:visited { color:#000000; }
	.c73, .c73 a:link, .c73 a:visited { color:#000000; }
	.c82, .c82 a:link, .c82 a:visited { color:#000000; }
	.c88, .c88 a:link, .c88 a:visited { color:#000000; }
	.c9c, .c9c a:link, .c9c a:visited { color:#000000; }
	.cae, .cae a:link, .cae a:visited { color:#000000; }

	interface Bet {
	who: string;
	outcome: number; // 1 for A, 2 for B
	shares: number; // Number of shares allocated
	money: number; // Money placed for given shares
	}

	interface Pool {
	initialMoney: number; // Initial pool
	initialProb: number; // Initial probability

	import numpy as np
	from numpy import genfromtxt

	iris = genfromtxt("IRIS.csv", delimiter=",", skip_header=True)

	training_examples = iris[:, list(range(3))]
	targets = iris[:, -2]
	bias_column = np.ones((training_examples.shape[0], 1))

	inputs = np.hstack((bias_column, training_examples))

	# Based on https://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/homeworks/hw2.pdf, 1. b.

	import numpy
	import pylab
	import random

	# Training Data

	x = numpy.array([
	[1, -2],

	digraph G {

	node [shape="none"]
	rankdir="LR"

	R [label=<𝓡>, fontcolor=blue]
	S [label=<𝓢>, fontcolor=blue]
	E [label=<𝓔>, fontcolor=darkgreen]

	h [label=<<b>h</b>>, fontcolor=blue]