Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	A5566FF1C1FD8E8266BC1A50B3D4F0228AF394C0
snap-authority	canonical
snap-filename	qlekdqRb9ScClFkFW13cMQrTnfuSU59E_10.snap
snap-id	qlekdqRb9ScClFkFW13cMQrTnfuSU59E_10
snap-name	python-ai-toolkit
snap-publisher-id	TTSsCAwEIBlVcQVMlOn24DAVMnu5A8Ii
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-09-08T10:22:45.634752Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/qlekdqRb9ScClFkFW13cMQrTnfuSU59E_10.snap

Key	Value
MD5	C740BC6EED3028AB439F94C8F0AC371C
PackageArch	x86_64
PackageDescription	pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Python 2 version.
PackageMaintainer	CBS <cbs@centos.org>
PackageName	python2-pandas
PackageRelease	2.el7.2
PackageVersion	0.19.1
SHA-1	F99E337C3BA847840F86DD2B50B558A049C11EAE
SHA-256	CA035A4852DBE3E8AABEFF58F743B060305838610799BD0D68AD30483C886863

Key	Value
FileSize	2614778
MD5	494881CCCA39595324CEE650A37A493F
PackageDescription	data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version.
PackageMaintainer	NeuroDebian Team <team@neuro.debian.net>
PackageName	python3-pandas
PackageSection	python
PackageVersion	0.19.2-5.1
SHA-1	44EE888F5C3FDE9C4FF13096B0F0A5551F17A735
SHA-256	44CCE0E3D7A3BCDE1E13E54F5C85AEF58D3658D5583E8441DEA85A7FD5A47267

Key	Value
FileSize	2763848
MD5	E625F6F403D9C4950113D5F9DDD786EB
PackageDescription	data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pandas
PackageSection	python
PackageVersion	0.22.0-4ubuntu1
SHA-1	909E814A66D0896748DC1FBD3AF3B009F511B41B
SHA-256	4282027B5D7A9AB20C02D579CC0C69F3C6FE709E969EF93A0028C9E28E5AABBA

Key	Value
SHA-1	F31855B6BE4FAD4BA29927C1C5D66B3B666A32E5
snap-authority	canonical
snap-filename	5q9xkhy8Yrdo1JDNCh2YRBRaMmbyIYyL_50.snap
snap-id	5q9xkhy8Yrdo1JDNCh2YRBRaMmbyIYyL_50
snap-name	gnocchi
snap-publisher-id	JwaWKYZ7i2E8Zu1AhiKeRzcVzxXmQbtq
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-11-10T12:48:09.803818Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/5q9xkhy8Yrdo1JDNCh2YRBRaMmbyIYyL_50.snap

Key	Value
FileSize	2615560
MD5	63C959B6861897EE7516902BFE1597BA
PackageDescription	data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version.
PackageMaintainer	NeuroDebian Team <team@neuro.debian.net>
PackageName	python-pandas
PackageSection	python
PackageVersion	0.19.2-5.1
SHA-1	EC6A749B591597AE552564152BDAF96A2FB565A2
SHA-256	0D52FEA01643C50C4A8B39B0D8BEE8F142AA8B07A56AE661EFF71522D5BCDCE9

Key	Value
SHA-1	D24A0E10CD2BF20541138E08B4EA4AD7C64EC039
snap-authority	canonical
snap-filename	ZSh2k4zUkOPaBYfSVD4Xv37rwJENkbHU_7.snap
snap-id	ZSh2k4zUkOPaBYfSVD4Xv37rwJENkbHU_7
snap-name	opencv-demo-webapp
snap-publisher-id	TTSsCAwEIBlVcQVMlOn24DAVMnu5A8Ii
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-01-02T22:45:02.460847Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/ZSh2k4zUkOPaBYfSVD4Xv37rwJENkbHU_7.snap

Key	Value
FileSize	2763672
MD5	E6C8F40261C0E90609D8FC9B882B1813
PackageDescription	data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pandas
PackageSection	python
PackageVersion	0.22.0-4
SHA-1	FACA5C37C673D243EAA585C72602D1B3160F87CE
SHA-256	EC621613E9BCC87F97B634D21E1CECF3B866005711520D791DB06E2C70D1AF59

Key	Value
FileSize	2764812
MD5	98AC8B5C1A6DD9AA7943DC0BD4B0183A
PackageDescription	data structures for "relational" or "labeled" data - Python 3 pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pandas
PackageSection	python
PackageVersion	0.22.0-4ubuntu1
SHA-1	B3B3A20255251A115D967A047A3CBF417B5B5756
SHA-256	4C16C3AC39905460A964712DB59AA2D0702EB22D2EFD1B64B3B085C95B3EA7BD

Key	Value
FileSize	2763744
MD5	28831EB80B14D3DD1C0ED62AB8B7ED33
PackageDescription	data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pandas
PackageSection	python
PackageVersion	0.22.0-4
SHA-1	070746205EE88382CAAEB9C921A7252AE134FB25
SHA-256	CAA099B08A65116197A137D398AFA2237CF02875CD5B366E5C8F23E745027F21