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The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
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| PackageDescription | documentation for the python3-intake package Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: . 1. Load data from a variety of formats into containers you already know, like Pandas dataframes, Python lists, NumPy arrays and more. 2. Convert boilerplate data loading code into reusable intake plugins. 3. Describe data sets in catalog files for easy reuse and sharing between projects and with others. 4. Share catalog information (and data sets) over the network with the Intake server. . This package contains documentation for python3-intake. |
| PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
| PackageName | python3-intake-doc |
| PackageSection | doc |
| PackageVersion | 0.6.1-2 |
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| PackageDescription | documentation for the python3-intake package Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: . 1. Load data from a variety of formats into containers you already know, like Pandas dataframes, Python lists, NumPy arrays and more. 2. Convert boilerplate data loading code into reusable intake plugins. 3. Describe data sets in catalog files for easy reuse and sharing between projects and with others. 4. Share catalog information (and data sets) over the network with the Intake server. . This package contains documentation for python3-intake. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-intake-doc |
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| PackageDescription | documentation for the python3-intake package Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: . 1. Load data from a variety of formats into containers you already know, like Pandas dataframes, Python lists, NumPy arrays and more. 2. Convert boilerplate data loading code into reusable intake plugins. 3. Describe data sets in catalog files for easy reuse and sharing between projects and with others. 4. Share catalog information (and data sets) over the network with the Intake server. . This package contains documentation for python3-intake. |
| PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
| PackageName | python3-intake-doc |
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| PackageDescription | documentation for the python3-intake package Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: . 1. Load data from a variety of formats into containers you already know, like Pandas dataframes, Python lists, NumPy arrays and more. 2. Convert boilerplate data loading code into reusable intake plugins. 3. Describe data sets in catalog files for easy reuse and sharing between projects and with others. 4. Share catalog information (and data sets) over the network with the Intake server. . This package contains documentation for python3-intake. |
| PackageMaintainer | Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org> |
| PackageName | python3-intake-doc |
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| PackageDescription | documentation for the python3-intake package Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: . 1. Load data from a variety of formats into containers you already know, like Pandas dataframes, Python lists, NumPy arrays and more. 2. Convert boilerplate data loading code into reusable intake plugins. 3. Describe data sets in catalog files for easy reuse and sharing between projects and with others. 4. Share catalog information (and data sets) over the network with the Intake server. . This package contains documentation for python3-intake. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-intake-doc |
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