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omahs b203150ac4
Fix typos (#9076) 
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* fix typo

* fix typos

* fix typo
2023-09-23 10:53:09 +02:00
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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 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 [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
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 Fix typos (#9076) 2023-09-23 10:53:09 +02:00
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 loses 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 allows 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).