Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/glue/app/qt/mdi_area.py |
FileSize | 4085 |
MD5 | B3F644F19F3E316D10245DF7D399D917 |
SHA-1 | 0368FDADE3B7F011B3AB9C9BE79AD4F0CAF02061 |
SHA-256 | DE86C2E3D7D79AC296FD7D2A2BBCB756FD73069FE1C1FC96CB01A98ABCE212C1 |
SSDEEP | 48:Pj9Nz3EsOgigEt6sITddixRcRQZysOIB69b4WeroFv2OnEB+AgP:JV3EsOgigEtLAtRQskB2bveG23BtgP |
TLSH | T196815493601266E196BB907E0B83A1137B3A75CB598C307539BC9FE82F405F290D79EC |
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 | 425584 |
MD5 | 9C61F8F68399F1408FE9B416B16DE87A |
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 | 0.15.6+dfsg-2 |
SHA-1 | 331D947691564F09AA5D9E4310CFECF348A33F5E |
SHA-256 | F5E8928DBF53493355E301B57FB98929ECDD9997D32622CF7D4575DA836E89E6 |
Key | Value |
---|---|
FileSize | 424464 |
MD5 | 02BF855B6DAD5BF741BB417818E6897F |
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 | 0.15.5+dfsg-1 |
SHA-1 | 5D9803211CD1019A1D1A9EF2D896F5A5D49F19B8 |
SHA-256 | 88ED5A11C59C5C4032212450788102A3B0DCA438478F8A635451187EC8D813AB |