Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

pptx, 6.75 MB pptx, 919.32 KB docx, 17.12 KB zip, 2.88 KB docx, 393.69 KB Help your students understand algorithms through a real-life example. They will fold their own paper fortune teller, then code ...

Tutorials for pointcloud processing in Python (transformations, spatial indexing, subsampling, cleaning, normals & curvatures, descriptors, segmentation, primitive fitting, registration, ...

Engage your students with this interactive Python Turtle activity that builds key computational thinking skills, including decomposition; algorithm design; pattern recognition; and iteration, in a fun ...

A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify ...

Researchers have released qmatmul, a Python package whose algorithm halves the floating-point multiplications needed for ...

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...