Python Trick: Use zlib for Quick Compression and Decompression

Did you know Python has built-in support for compressing and decompressing data using the zlib module? While gzip is more commonly known, zlib offers a fast and lightweight way to handle compression, ideal for compact storage or efficient transmission of data.

How It Works:
The zlib module provides tools to compress and decompress binary data using the Deflate algorithm, which is widely used in file formats like PNG and ZIP.

Compression Levels: Control the balance between speed and compression size (1 = fastest, 9 = smallest).

Why It's Cool:

Compact Data Storage: Reduce the size of strings, JSON, or other text-based formats for disk storage or network transmission.
Performance: Achieves significant size reductions with minimal processing time.
Built-in Convenience: No third-party libraries required—it’s part of Python’s standard library.

When to Use:

Data Serialization: Compress large JSON or text data for storage or API responses.
Network Transmission: Reduce payload size for faster transmission.
File Storage: Save data in compressed form while retaining its integrity.

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