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seqprops

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1.0.2

seqprops-1.0.2-py3-none-any.whl

Wheel Details

Project:	seqprops
Version:	1.0.2
Filename:	seqprops-1.0.2-py3-none-any.whl
Download:	[link]
Size:	10360
MD5:	`f266767bf45c618165dd401f37ff9eed`
SHA256:	`db282119b55ce7f5ed812a78f736e726ee8c574be6e3d37b0d7a9e07ac9e3547`
Uploaded:	2022-09-28 13:31:29 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	seqprops
Version:	1.0.2
Author:	Erik Otović
Author-Email:	erik.otovic[at]gmail.com
Home-Page:	https://github.com/eotovic/seqprops
License:	GPL3
Keywords:	sequential properties physicochemical machine learning peptides proteins
Requires-Dist:	pandas
Requires-Dist:	numpy
Requires-Dist:	scikit-learn
Requires-Dist:	dask
Requires-Dist:	distributed
Description-Content-Type:	text/markdown

[Description omitted; length: 2173 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
seqprops/__init__.py	sha256=j_Tjw9kCeCH1b6jjssRTlyo8bO0CP3Y1WeMpdF2WswM	23
seqprops/seqprops.py	sha256=nASJIxCmUd2TS_--BOSBNyrc2L-_JWqw46tLf4Zyoxk	12453
seqprops/data/__init__.py	sha256=98e_aAZvsdPvFOT7hg_UM6i7DGHOLEdaeFiGVZLMRqA	12
seqprops/data/aadata.csv	sha256=SxAt1Qdt_2rkJV8X9Rno5omAgLTk0lH0hM3MAjoeLGo	11672
seqprops-1.0.2.dist-info/METADATA	sha256=piTdbkW9wG0PcfGmdNulhL68Qf8_JnfFyyOrkovpD3E	2587
seqprops-1.0.2.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
seqprops-1.0.2.dist-info/top_level.txt	sha256=HLDb7c3XvOjg1wGFxtX0KVGISxhZpRevyIiqmowCEPM	9
seqprops-1.0.2.dist-info/RECORD	—	—

top_level.txt

seqprops