PyTorch is an open-source deep learning framework built in Python and designed to make building neural networks intuitive. For developers and data scientists looking to enter deep learning, PyTorch remains the most practical and widely supported starting point available today. From these foundations, PyTorch has grown into one of the most fully featured deep learning frameworks available. import numpy as np # Tensor to NumPy tensor = torch.tensor([1.0, 2.0, 3.0]) numpy_array = tensor.numpy() print("Original PyTorch tensor:") print(tensor) print("Converted to NumPy array:") print(numpy_array) # NumPy to Tensor numpy_array = np.array([1.0, 2.0, 3.0]) tensor = torch.from_numpy(numpy_array) print("Original NumPy array:") print(numpy_array) print("Converted to PyTorch tensor:") print(tensor)This snippet demonstrates interoperability between PyTorch and NumPy. A PyTorch tensor is first converted into a NumPy array using .numpy() , and then a NumPy array is converted back into a PyTorch tensor using torch.from_numpy() .