Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/glue/viewers/profile/layer_artist.py |
FileSize | 6780 |
MD5 | 3F527DDE6CCE3DDE36C9082EAAB4035A |
SHA-1 | 01CD13CCCCFEB8E5870F60ED6777DE423A42CE3F |
SHA-256 | 7E7160608C72D485A341ECDF48C6B566552ECB5A44B66228166EA9329D51ADB9 |
SSDEEP | 96:k+8pYyGGZDN2T/sQKnDEduLvYvxsyyw5QK/K+:kPKy+Kngd6K/K+ |
TLSH | T13EE18416911A903B4D93BC59C18FD86373DEA46B7C8E0121B4BED2092F8457442EDCBB |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 430740 |
MD5 | 5FDE944E8ED7E41AF851E9FFF5A3903D |
PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-glue |
PackageSection | python |
PackageVersion | 1.0.1+dfsg-1 |
SHA-1 | 50E33154D605FACFE56E3605CCA759A6F14B43AB |
SHA-256 | 56383625F24FC48F042C97D4E74779F8856C87129D073CD3358426F0FC74C6BC |
Key | Value |
---|---|
FileSize | 451544 |
MD5 | 525A7DF769AE07FCF5579412F53137C4 |
PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
PackageMaintainer | Debian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org> |
PackageName | python3-glue |
PackageSection | python |
PackageVersion | 1.0.1+dfsg-1 |
SHA-1 | F66525CEA28A2004B043CEFB97094EC5510B26E0 |
SHA-256 | 95C70C56AE28E14AD94B0BBBEEB77FB2BF61156B6C47732CD31E6BAB1C8A7329 |