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History

Mark Mayo f32d611689 clean of unnecessary checks, imports, calls (#7993 )		2022-11-21 00:00:27 +13:00
..
image_data	Add __init__.py files in all the directories (#2503 )	2020-09-28 19:42:36 +02:00
__init__.py	Add __init__.py files in all the directories (#2503 )	2020-09-28 19:42:36 +02:00
burrows_wheeler.py	Add flake8 pluin flake8 bugbear to pre-commit (#7132 )	2022-10-13 18:03:06 +02:00
huffman.py	clean of unnecessary checks, imports, calls (#7993 )	2022-11-21 00:00:27 +13:00
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	[mypy] annotate `compression` (#5570 )	2021-10-26 12:29:27 +02:00
peak_signal_to_noise_ratio.py	refactor: Move constants outside of variable scope (#7262 )	2022-10-16 15:03:29 +05:30
README.md	Add README files 2/8 (#5766 )	2021-11-11 21:39:54 +08:00
run_length_encoding.py	Run length encoding (#6492 )	2022-10-02 16:57:11 +02:00

README.md

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).