mathdatech/Python
1
0
Fork 0
mirror of https://github.com/TheAlgorithms/Python.git synced 2024-11-23 21:11:08 +00:00
Code Issues Packages Projects Releases Wiki Activity
50545d10c5
Python/compression
History
Jerrit Gläsker 50545d10c5
Run length encoding (#6492) 
* Removed unused commit

* Added wikipedia url

* Renamed parameter, changed decoding to use list comprehension
2022-10-02 16:57:11 +02:00
..
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 [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
huffman.py [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
lempel_ziv_decompress.py Pyupgrade to python3.8 (#3616) 2020-10-21 12:46:14 +02:00
lempel_ziv.py [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
peak_signal_to_noise_ratio.py [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
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).