Start by understanding the basic concept of Huffman coding, which is a lossless data compression algorithm that assigns variable-length codes to input characters based on their frequencies.

Recall that Huffman coding uses a greedy algorithm to construct a binary tree where the most frequent characters have the shortest codes, and the least frequent have the longest.

To implement Huffman encoding, you'll need to build a priority queue (min-heap) to efficiently select the two nodes with the lowest frequencies during tree construction, then traverse the tree to generate the binary codes for each character.