TheAlgorithms-Python/compression
2023-07-28 17:53:09 +01:00
..
image_data
__init__.py
burrows_wheeler.py Fix ruff rules ISC flake8-implicit-str-concat (#8892) 2023-07-28 17:53:09 +01:00
huffman.py Upgrade to flake8 v6 (#8007) 2022-11-29 16:56:41 +01:00
lempel_ziv_decompress.py Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062) 2022-10-13 00:54:20 +02:00
lempel_ziv.py
lz77.py pre-commit: Upgrade psf/black for stable style 2023 (#8110) 2023-02-01 18:44:54 +05:30
peak_signal_to_noise_ratio.py refactor: Move constants outside of variable scope (#7262) 2022-10-16 15:03:29 +05:30
README.md
run_length_encoding.py Run length encoding (#6492) 2022-10-02 16:57:11 +02:00

Compression

Data compression is everywhere, you need it to store data without taking too much space. Either the compression lose some data (then we talk about lossy compression, such as .jpg) or it does not (and then it is lossless compression, such as .png)

Lossless compression is mainly used for archive purpose as it allow storing data without losing information about the file archived. On the other hand, lossy compression is used for transfer of file where quality isn't necessarily what is required (i.e: images on Twitter).