Learn how Huffman Coding works to compress text efficiently step-by-step!
In this video, we’ll walk through building a Huffman tree, assigning binary codes to characters, and encoding text to cut its size nearly in half.
You’ll see a real example and understand why Huffman coding is one of the most important lossless compression algorithms.
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⏱️ Timestamps
0:00 Introduction to Huffman Coding
0:08 Frequency table explanation
0:17 Building the Huffman tree
1:32 Labeling branches with 0 and 1
1:40 Creating the dictionary of codes
2:08 Encoding the original text
2:41 Comparing compressed vs. original size
3:00 Real-world considerations and optimization tips
3:27 Wrap-up and next video preview
Whether you're preparing for coding interviews, studying data compression, or just curious about algorithms, this tutorial will help you deeply understand Huffman coding.
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