Compression is a classic trade-off between space and time. Compressed data uses less space than the original, but it takes computational time to compress and decompress the data. In this episode we discuss the purpose of compression, some basic ways that compression works, and some common applications of compression. We distinguish between lossy and lossless compression, and we talk about algorithmic techniques like run-length encoding and dictionary based compression.
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