Introduction to Huffman Trees

Short summary

A tutorial revisiting Huffman coding trees, explaining entropy, variable-length encoding, and how frequent characters get shorter bit codes for lossless compression. Includes a Python implementation that builds a frequency map, constructs the tree using a min-heap, and encodes data. The full source code is available on GitHub and GitLab.

• •Explains Huffman coding fundamentals: entropy, variable-length codes, and compression ratios
• •Walks through a Python implementation with frequency maps, min-heap tree construction, and leaf/internal node classes
• •Full source code available on GitHub and GitLab repositories

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