The document provides an extensive list of compression methods, along with their descriptions and best use cases. It covers a wide range of compression algorithms, from widely used formats like ZIP and RAR to specialized methods such as LZMA, Snappy, and Brotli. Additionally, it includes details on audio and video codecs, as well as data transformation and encoding techniques. The document also offers code snippets and commands for implementing various compression methods using popular programming languages and tools such as Python, Bash, Powershell, and C++. Furthermore, it provides insights into compression-related tasks, including file slicing, archiving, and encryption. Overall, the document serves as a comprehensive guide for individuals and organizations seeking to understand, implement, and optimize data compression for various applications, including web content, multimedia, software packages, and archival purposes.
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