Data Loading Archives

File I/O with NumPy: Loading and Saving Data

Python data cleaning with pandas for missing data. Handle np.nan using dropna() or fillna() with the mean. Fix data types with pd.to_numeric(errors='coerce').

Python modules PyTorch

Data Loading and Processing using torch.utils.data

Python modules, PyTorchData Loading, torch.utils.data

PyTorch DataLoader custom collate_fn for variable size data. Handle variable length sequences, tensors with different shapes, and avoid RuntimeException by padding batches.

Python modules TensorFlow

Exploring TensorFlow Datasets for Data Loading

Python modules, TensorFlowData Loading, TensorFlow Datasets

TensorFlow custom data pipelines with `tf.data`. Use `from_tensor_slices` for arrays or `from_generator` with `output_signature` for large, scalable datasets.