api-specific

Avoid using chain indexing in Pandas.

Use df.to_numpy() in Pandas instead of df.values() for transform a DataFrame to a NumPy array.

When the multiply operation is performed on two-dimensional matrixes, use np.matmul() instead of np.dot() in NumPy for better semantics.

Use tf.TensorArray() in TensorFlow 2 if the value of the array will change in the loop.

Use self.net() in PyTorch to forward the input to the network instead of self.net.forward().

Use optimizer.zero_grad(), loss_fn.backward(), optimizer.step() together in order in PyTorch. Do not forget to use optimizer.zero_grad() before loss_fn.backward() to clear gradients.