Result for 0237E2A20242BA797DBA6CE37A882450D43E0B67

Query result

Key Value
FileName./usr/lib/python3/dist-packages/glue/core/data_factories/pandas.py
FileSize3732
MD5E3E6BD21BFF0A784A5384E2CBE4D5902
SHA-10237E2A20242BA797DBA6CE37A882450D43E0B67
SHA-256136CFEF0FF4EE2EBBA91C8B3491DCF4F1E848CE5B38EAC7F0469EAA0A998E5CA
SSDEEP48:KIwKIVzi5uC3F1u0z3zWXoxxlQHRT5ZCURrecs1u+ueQdXs7JtqF69yYFkFo:v/INi5N+0bSNHN5RSFU+uJXsyoyYFYo
TLSHT19A7175132E69102F86A5A40809DBE402F364B8075E4101F838ECE7D62F99266FE7D7AD
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

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
FileSize430740
MD55FDE944E8ED7E41AF851E9FFF5A3903D
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-glue
PackageSectionpython
PackageVersion1.0.1+dfsg-1
SHA-150E33154D605FACFE56E3605CCA759A6F14B43AB
SHA-25656383625F24FC48F042C97D4E74779F8856C87129D073CD3358426F0FC74C6BC
Key Value
FileSize451544
MD5525A7DF769AE07FCF5579412F53137C4
PackageDescriptionPython 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.
PackageMaintainerDebian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org>
PackageNamepython3-glue
PackageSectionpython
PackageVersion1.0.1+dfsg-1
SHA-1F66525CEA28A2004B043CEFB97094EC5510B26E0
SHA-25695C70C56AE28E14AD94B0BBBEEB77FB2BF61156B6C47732CD31E6BAB1C8A7329