| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/glue/viewers/profile/qt/layer_artist.py |
| FileSize | 2371 |
| MD5 | 0838A727D3174CC6378FA28D241B8C44 |
| SHA-1 | 0371CDFCC73E1AE6E0178B1B3B67E4C48F2C19DF |
| SHA-256 | 6335DA8C5C6FE5C2B2FA204AC44F2F9A7059C4CE6C7F8DB70AF05CF2FD9C1DC3 |
| SSDEEP | 48:PrlgCFdky2oI9NtCLQvdD815sRstGmb23YQbIA:zmCFdkyLI9NtCLQvdo152stv23YQbf |
| TLSH | T1F6410F36812FDE764AA3BC3361076A235ADB60276A8D1510F9FDC20C1F5B42440EACF6 |
| 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 |