Learn

Comprehensive cheatsheets for revision — exact function names, signatures, and short examples. Handy to skim before diving into practice problems.

NumPy

Array creation, indexing, broadcasting, statistics, random generation, and file I/O.

Pandas

Series/DataFrame selection, groupby, merge/concat, reshaping, time series, and MultiIndex.

PyTorch

Tensors, autograd, nn.Module, loss functions, training loops, and classification metrics.