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 - Data iteration and dataloaders (`eachobs` and `DataLoader`).
 - Lazy data views (`obsview`). 
 - Resampling procedures (`undersample` and `oversample`).
-- Train/test splits (`splitobs`) 
+- Train/test splits (`splitobs`, stratified split) 
 - Data partitioning and aggregation tools (`batch`, `unbatch`, `chunk`, `group_counts`, `group_indices`).
 - Folds for cross-validation (`kfolds`, `leavepout`).
 - Datasets lazy tranformations (`mapobs`, `filterobs`, `groupobs`, `joinobs`, `shuffleobs`).
 - Toy datasets for demonstration purpose. 
-- Other data handling utilities (`flatten`, `normalise`, `unsqueeze`, `stack`, `unstack`).
+- Other data handling utilities (`flatten`, `normalise`, `unsqueeze`, `stack`, `unstack`, `slidingwindow`).
 
 
 ## Examples