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RDS:package_id | 184818 |
SHA-1 | 007073526B5FCC417D23A3774C3A6EA7D17C503B |
SHA-256 | F31C1ABD99E3A86E23D181F688D618E077621EC6C452D9B8F7749F19CD876B30 |
SSDEEP | 3:oLhlEsW1p6B61EXEKzEJjUsR:meT1WEQEJQw |
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hashlookup:trust | 85 |
The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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PackageDescription | documentation and examples for pandas This package contains documentation and example scripts for python-pandas. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-pandas-doc |
PackageSection | doc |
PackageVersion | 0.23.3+dfsg-3 |
SHA-1 | 26D541AE231CC177576B8702F8E2064AABA1A96E |
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Key | Value |
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FileSize | 8196480 |
MD5 | 2F510352466D48A3D3714EF384A1840D |
PackageDescription | data structures for "relational" or "labeled" data - documentation 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 documentation. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-pandas-doc |
PackageSection | doc |
PackageVersion | 1.1.5+dfsg-2 |
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Key | Value |
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FileSize | 8184904 |
MD5 | 75A46F7D98F9CB59B2DB3D54A74392F3 |
PackageDescription | data structures for "relational" or "labeled" data - documentation 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 documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas-doc |
PackageSection | doc |
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SHA-1 | 05B41ABEF07C7FFB96EB3B1EAC95F1CBF6D2AABB |
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Key | Value |
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MD5 | 5CA98AF9A11039AB63B4646F6F4E9C85 |
PackageDescription | data structures for "relational" or "labeled" data - documentation 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 documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas-doc |
PackageSection | doc |
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SHA-1 | 859E82C01366B6B895DA269F19E4440449F95E9F |
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Key | Value |
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CRC32 | 1FDE74DC |
FileName | 45943 |
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PackageDescription | documentation and examples for pandas This package contains documentation and example scripts for python-pandas. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas-doc |
PackageSection | doc |
PackageVersion | 0.17.1-3ubuntu2 |
ProductCode | 184818 |
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PackageMaintainer | NeuroDebian Team <team@neuro.debian.net> |
PackageName | python-pandas-doc |
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SHA-1 | 746FEBBB66E26A365C34644AC857B7CF02E574D1 |
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PackageDescription | data structures for "relational" or "labeled" data - documentation 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 documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas-doc |
PackageSection | doc |
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SHA-1 | 4607CEFF250A7EC5819AD72549EB2EC7730C932B |
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