Result for 53FA383986BCCC85E17A80AFCB0F0AD665AB8CE3

Query result

Key Value
FileName./usr/share/doc/python-dap/TODO
FileSize744
MD5C17CE473D923D5BA58381F13C1788EC9
SHA-153FA383986BCCC85E17A80AFCB0F0AD665AB8CE3
SHA-256A18E391DC68302DC7051248341C6C38CD91BCAA4C1957AAADDEB1B2770319EC1
SSDEEP12:eQ6b5v5DCkjz/1N6FUa5iuGQ1KNTFamtCnNadXdjRb+KE/nNsRKKG61BOH9v+aVF:Sb5bf1UUaEuGQcTw0dXd9yN60EaL
TLSHT1FE01656D7792256787918183618620E1198BD38DB2FDEBE058DC840F2C01E4D883B5FD
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

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
FileSize45886
MD55333901E05BED2A3777818DF6AC3B5F8
PackageDescriptionDAP (Data Access Protocol) client and server This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on experience with OPeNDAP servers on the wild. . Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwidth and time. . The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variety of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-dap
PackageSectionpython
PackageVersion2.2.6.7-2
SHA-1C6F2B3988A58D1F5C8DAC2C759A8C48A3B18E6FC
SHA-25663FB8D1A0CC5A36E895EB0B75083763FA28AF0102600ADE04609B2A5378A2BF1
Key Value
FileSize50326
MD50C1B28AB80B2E4456379B1D6638925FA
PackageDescriptionDAP (Data Access Protocol) client and server This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on experience with OPeNDAP servers on the wild. . Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwidth and time. . The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variety of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-dap
PackageSectionpython
PackageVersion2.2.6.7-2
SHA-10C51423A17F5765DE102FC6B9969994448999423
SHA-256DA909B3CB1F85F76AF50269BF5354371BCF9FA18F71D8857F03D2917DEC7DE94
Key Value
FileSize45336
MD568A24CA00A07D9F5859CB8D867FA5F36
PackageDescriptionDAP (Data Access Protocol) client and server This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on experience with OPeNDAP servers on the wild. . Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwidth and time. . The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variety of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython-dap
PackageSectionpython
PackageVersion2.2.6.7-3
SHA-1806454AB92E42AE023A018A2FF539317106F8612
SHA-256413F3F15E82EB7679517B5B6BC69D0434E823FBBE09250F4154556B177BE3C85
Key Value
FileSize6212
MD5CEAE7722A186CAC3C47DD79A6676D7D4
PackageDescriptionDAP (Data Access Protocol) client and server This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on experience with OPeNDAP servers on the wild. . Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwidth and time. . The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variety of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-dap
PackageSectionpython
PackageVersion2.2.6.7-3build1
SHA-146F7AD1EF4C809CABA9D52615F0C1ACB8D856CFD
SHA-2564DE27CE07C9148E515486E8F2BDE67DA77A777047A9CB7DA190152CA270ADD45