Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/glue/core/tests/test_component_link.py |
FileSize | 9799 |
MD5 | 71772A5902DF35F85FBD097DEBF4517F |
SHA-1 | 06EB2AF239A2307B5AB4D637714E0D3AF17CAD76 |
SHA-256 | D693E4D279132EE1CAB26E691A3317436A20DF27EAE9BEE4CDCD8BC32392ADCF |
SSDEEP | 192:ToxzJlm3mhYEjzFzVztzlzpzCozNzKozWzFozGz9kgGFVNo:8I3mhYEj55RZd+oxGoC5oSRkg+VNo |
TLSH | T12912102657031C185687A17B867B9C0646EFAF134E501169B0BF55C0EF882BA7372BFD |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 345740 |
MD5 | E8A07887F30910FC2B6FED1A1AFD34C8 |
PackageDescription | Python 2 library for data interaction python-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 | python-glue |
PackageSection | python |
PackageVersion | 0.9.1+dfsg-1 |
SHA-1 | 34AD4F6E93EA201BB108818AC6C957EEAA4EE8BF |
SHA-256 | 456FC2C365C8AA9C7875B9DE0EA0B3F415BF20E0333D9A5D30D9226EE2B6D12F |
Key | Value |
---|---|
FileSize | 354236 |
MD5 | 311A6B6F5CE1CBB66B81F3968AF10FC8 |
PackageDescription | Python 2 library for data interaction python-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 | python-glue |
PackageSection | python |
PackageVersion | 0.9.1+dfsg-1 |
SHA-1 | 29D145A0F1FAA030BFC6570DF882DEC1E9D12C18 |
SHA-256 | F8264647D384573AFC2CEDEE1FDEEF5AD5AA07953A62D27D79739CBC0E1A8223 |
Key | Value |
---|---|
FileSize | 365034 |
MD5 | 9970AAEF3D69F4B487FFB453B630E30D |
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 | 0.9.1+dfsg-1 |
SHA-1 | 308B3DDEF746E34037421C5CD61EE3FD6EFD36AB |
SHA-256 | 4656202AA66F30C5F547042AF3D455615FE46EC99AF76C875CB350A7785677DB |
Key | Value |
---|---|
FileSize | 356542 |
MD5 | 3947752CFE9F8E78DE29702BA9AED26C |
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 | 0.9.1+dfsg-1 |
SHA-1 | 5E1D02BE39B640956735D7CE6BEE6F2DD2A9E91D |
SHA-256 | E0D4EE7791C7918E0A7E3BAC592AAC5A101E63134AA7C4190399DDA9B97A46A0 |