2. Python's Secret Weapon: Unleashing the Power of Vector Cloning in NumPy
   There are two main ways to clone vectors in NumPy for linear algebra operations:Slicing with a Step of 1:This is a simple and efficient way to clone vectors
3. PyTorch for Deep Learning: Gradient Clipping Explained with "data.norm() < 1000"
   Breakdown:data: This refers to a tensor in PyTorch, which is a multi-dimensional array that's the fundamental data structure for deep learning computations