Import statements


					# Define a sequential model using Sequential literal
					model = nn.Sequential(
					          nn.Conv2d(1,20,5),
					          nn.ReLU(),
					          nn.Conv2d(20,64,5),
					          nn.ReLU()
					        )

					# Define a sequential model using OrderedDict
					model = nn.Sequential(OrderedDict([
				          ('conv1', nn.Conv2d(1,20,5)),
				          ('relu1', nn.ReLU()),
				          ('conv2', nn.Conv2d(20,64,5)),
				          ('relu2', nn.ReLU())
				        ]))
				# source : https://pytorch.org/docs/stable/generated/torch.nn.Sequential.html
				

					# init a new set, assign it to a variable
					# add a number to it and display that variable
					my_set = set()
					my_set.add(1)
					my_set # --> returns {1}

				

					num_list = [1, 2, -99, 8, 2]

					# Uniqtech Co. min tutorial

					def state_machine(num_list):
						min_val = float('inf')

						for num in num_list:
							if num < min_val:
 							min_val = num

					return min_val


					state_machine(num_list)
					# >>> -99
					# Uniqtech Co. min tutorial