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Package: python3-cappa
Description-md5: 948766d9db202b89b54ed916fcba9dd6
Description-en: Declarative CLI argument parser
 Cappa is a declarative command line parsing library, which uses runtime
 type inspection to infer (default) CLI argument behavior, and provide
 automatic help text generation and dynamic completion generation.
 .
 This package provides the Python 3.x cappa module.

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Package: python-pandas-doc
Description-md5: 7a749591db25bd458e01e853e9fcd291
Description-en: 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.

Package: python3-pandas
Description-md5: cebad5283eae2d4545bd561b1c18aa4e
Description-en: 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 3 version.

Package: python3-pandas-lib
Description-md5: b329f4ac7b25b8b49b6f051c081f5999
Description-en: low-level implementations and bindings for pandas
 This is a low-level package for python3-pandas providing
 architecture-dependent extensions.
 .
 Users should not need to install it directly.

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 This package contains the development files.

Package: libnethogs0
Description-md5: f1eca93fee7e19153c3ba3e6bd6eb7e0
Description-en: From nethogs tool, libnethogs library (library)
 This is highly experimental, and is expected to break source and binary
 compatibility while it looks for the right abstraction points.
 .
 This package contains the shared library.

Package: nethogs
Description-md5: 04c153c901ad7ca75e53e2ae32565ccd
Description-en: Net top tool grouping bandwidth per process
 NetHogs is a small 'net top' tool. Instead of breaking the traffic down per
 protocol or per subnet, like most tools do, it groups bandwidth by process.
 NetHogs does not rely on a special kernel module to be loaded.
.
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Package: libnethogs-dev
Description-md5: 9e4bebb19575403db786ce4638e0656d
Description-en: From nethogs tool, libnethogs library (development files)
 This is highly experimental, and is expected to break source and binary
 compatibility while it looks for the right abstraction points.
.
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