Package: ravdec
ravdecRavdec is a module written in python, which is based on a Lossless Data Compression Algorithm designed byRavin Kumaron 19 September, 2016. This compression algorithm have a fixed compression ratio of 1.1429 in all possible cases, It accepts data of following format: alphabets, numbers, and symbols. It can be  used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate. In this case also,  the above module, and algorithm gives the same compression ratio.Ravdec- LossLess Data CompressionAlgorithm Designer, and Module Developer:Ravin KumarThis compression algorithm have a fixed compression ratio of 1.1429 in all possible cases, It accepts data of following format: alphabets, numbers, and symbols.
Example: It can compress 1 GB to 896 MB.Application of RavdecIt can be  used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate. In this case also, the above module, and algorithm gives the same compression ratio.NOTE- The data that is to be compressed should have length of multiple of 8.(i.e 8 elements, or 16 elemnts or 24...so on)file_compression(filename) :
It is used to read data from a file, and create a compressed file with extention of ".rav"file_decompression(filename) :
It is used to read data from a previously compressed file, and create a decompressed file with extention of ".dec"Example:importravdec# to compress the file have elements of multiple of 8.ravdec.file_compression("filename.txt")# to decompress the previously compressed file.ravdec.file_decompression("filename.rav")net_compression("data to be compressed of length of multiple of 8 ") - To compress the  original data to transmit, that is
needed to be  transmitted.net_decompression(" previously compressed data")  - To decompress the previously compressed data, that is received.It is used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the
propability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate.Example:import ravdec

# for compression
compressed_data=ravdec.net_compression("ASDFGHJK")

# note- data to be compressed should have length of multiple of 8.(i.e 8 elements, or 16 elemnts or 24...so on)
# for decompression

decompressed_data=ravdec.net_decompression("previously compressed data")Application of this module:It can be  used where the machine generates data at a very fast rate, that it became difficult for other algorithms to
calculate the probability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster
rate. In this case also, the above module, and algorithm gives the same compression ratio.Installation using pip:pip install ravdecAlso visit RavdecJs: Javascript implementation of ravdec.repository linkCopyright(c)2016RavinKumarWebsite:https://mr-ravin.github.ioPermissionisherebygranted,freeofcharge,toanypersonobtainingacopyofthissoftwareandassociateddocumentationfiles(the“Software”),todealintheSoftwarewithoutrestriction,includingwithoutlimitationtherightstouse,copy,modify,merge,publish,distribute,sublicense,and/orsellcopiesoftheSoftware,andtopermitpersonstowhomtheSoftwareisfurnishedtodoso,subjecttothefollowingconditions:TheabovecopyrightnoticeandthispermissionnoticeshallbeincludedinallcopiesorsubstantialportionsoftheSoftware.THESOFTWAREISPROVIDED“ASIS”,WITHOUTWARRANTYOFANYKIND,EXPRESSORIMPLIED,INCLUDINGBUTNOTLIMITEDTOTHEWARRANTIESOFMERCHANTABILITY,FITNESSFORAPARTICULARPURPOSEANDNONINFRINGEMENT.INNOEVENTSHALLTHEAUTHORSORCOPYRIGHTHOLDERSBELIABLEFORANYCLAIM,DAMAGESOROTHERLIABILITY,WHETHERINANACTIONOFCONTRACT,TORTOROTHERWISE,ARISINGFROM,OUTOFORINCONNECTIONWITHTHESOFTWAREORTHEUSEOROTHERDEALINGSINTHESOFTWARE.