Result for 08318D23F9CD7E6293A5C8ECCEBE80369F02A2BD

Query result

Key Value
FileName./usr/share/doc/python3-bcolz/changelog.Debian.gz
FileSize1188
MD5800E98D346272912AEADFFB07E0A3A7B
SHA-108318D23F9CD7E6293A5C8ECCEBE80369F02A2BD
SHA-256A217A2545AC34ACC39E592081B0870BBE90C4A454C345BD2EDA7A68B5C29F591
SSDEEP24:X9QAz/UfUxjdCU8zOtlCPGl4uf7gQn4mPNzpXPDcULuyrzFtDsCQS:XeAzsfUxjt8xruj/n7NNIUDFRszS
TLSHT13521D764A51AF05EB331C27037A4FA67AE9A0D933C49DB4582270AB692C220065DC013
hashlookup:parent-total11
hashlookup:trust100

Network graph view

Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize51440
MD5A8DE03A8801E3CE211D9AFF36D95E2C2
PackageDescriptionhigh performant compressed data container (documentation) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamebcolz-doc
PackageSectiondoc
PackageVersion1.2.1+ds1-1build1
SHA-1D74D6F043F280FD42A7DBE568F6217CF955998B6
SHA-256A6739DB15F1196B1A1E0DE6B67CC1296B87FC2D27848A2986E1368699142FB2E
Key Value
FileSize270120
MD5E594B4164447A546F42373583E36AAE9
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1EBE6F31EB7BBAA45E754106B9BAEB5794A996DB9
SHA-256700A1E0E4FA99CAA6EEE86E18DB680C175F289716D956B20BC83717B541833F5
Key Value
FileSize298800
MD5452A4C0EB75FF42580B8893292585C1A
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1059D612067096D580905624598818090DCA91724
SHA-25673D163FA34D672EC094820061BD4E9052B7E470B00433ECFBF02C797EB9D4D9D
Key Value
FileSize305956
MD567656920BB27BBAE4CD40B8C467AFAB9
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-14FE0B31C60E5FCC9D8DB642CE64B4A158A983B32
SHA-256FFDD123CB095FFFAD14A2252129D2CB131D34EDAFF94A11553D1FC2FA98DB64E
Key Value
FileSize294092
MD5F06676DEDA1462D4E8CBD10F23841EAD
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-11CDF6031D641434EF819F0EA11E03E7A5C558CE1
SHA-25633E2762465E0E80EEF54532116897E8B69AEC11C8440F09B1451894B394EC0B4
Key Value
FileSize389880
MD5F2C86E4634E342E18FDC521ADA5DCB69
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1A481BCFD319C651FDB8473778EE089EF409E7849
SHA-256BA84FD3F24C8D4BB4FF5655990C5FFFC01B664EC076B463638BD0E5B1E78FDD2
Key Value
FileSize352744
MD546703ABBAE83210FA5D9001E8FCD3232
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1424B8C272DC9A8DB6ACA9AE6739AF05B681A6350
SHA-25607F31682CD8FAC35565006AE60BB0D64EBDA15C4B37858FBD0DB5A0D6C2D83E1
Key Value
FileSize262988
MD5AFF0412AA8248F4503B6FA52AF5AAD74
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1E25E2AF615E338910B3BB110D0895E8E43D3D631
SHA-256D434EBDF2EA6F5C04166B95EB8F1ECAD598B5B9B72D064D45668E37C62988627
Key Value
FileSize284520
MD5C67EFAB60D0438A73023CBE14CDFACF9
PackageDescriptionhigh performant compressed data container based on NumPy (Python 2) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1C8587542C88E5F56D01F562E3989C5B5A3A1AC9D
SHA-256FA1DA51751C6BF5920BB52B2EA30B9D31001A0483EEB188CC2CAD96E8477A7F6
Key Value
FileSize300776
MD56B328BE20A463DCE832506BF0BEF3AAE
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1132E8E59211A83C8EA509876560BFABC56701CD3
SHA-256606531903D56C2CF2B798B774119FE5D35B418A1EF8C043EB5FD146DCD803E06
Key Value
FileSize326532
MD595786454C7D567086315C2E88A22C2D6
PackageDescriptionhigh performant compressed data container based on NumPy (Python 3) bcolz provides columnar, chunked data containers that can be compressed in-memory and on-disk. Column storage allows for efficiently querying tables, as well as for cheap column addition and removal. It is based on NumPy, and uses it as the standard data container to communicate with bcolz objects, but it also comes with support for import/export facilities to/from HDF5/PyTables tables and Pandas dataframes. . This package contains the modules for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-bcolz
PackageSectionpython
PackageVersion1.2.1+ds1-1build1
SHA-1977E79F48D7BB40E6A42776B8015B6634B393C48
SHA-2563ED66560B6C4D38EFA12B23FA01FE2D4A8229335ACAF52CC2A30512D85E07904