A client library for executing notebooks.
NBClient, a client library for programmatic notebook execution, is a tool for running Jupyter Notebooks in different execution contexts. NBClient was spun out of nbconvert (formerly ExecutePreprocessor). NBClient lets you execute notebooks.
acquired package info from repodata DB: repodata/f1f85c23079e7764ad00378a9fc5d660b89a03657290e75426caf7be5b7da462-primary.sqlite.bz2
attrs is an MIT-licensed Python package with class decorators that ease the chores of implementing the most common attribute-related object protocols.
importlib_metadata is a library which provides an API for accessing an installed package’s metadata (see PEP 566), such as its entry points or its top-level name.
Composable command line interface toolkit
Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It's the "Command Line Interface Creation Kit". It's highly configurable but comes with sensible defaults out of the box.
YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence.
This package contains the base implementation of the Jupyter Notebook format, and Python APIs for working with notebooks.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
Pretty-print tabular data in Python, a library and a command-line utility. The main use cases of the library are: - printing small tables without hassle: just one function call, formatting is guided by the data itself - authoring tabular data for lightweight plain-text markup: multiple output formats suitable for further editing or transformation - readable presentation of mixed textual and numeric data: smart column alignment, configurable number formatting, alignment by a decimal point
Easily build and distribute Python 3 packages
Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.py.
py.test plugin that allows you to add environment variables.
SQL toolkit and object relational mapper for Python
SQLAlchemy is an Object Relational Mapper (ORM) that provides a flexible, high-level interface to SQL databases. It contains a powerful mapping layer that users can choose to work as automatically or as manually, determining relationships based on foreign keys or to bridge the gap between database and domain by letting you define the join conditions explicitly. The python3-sqlalchemy package contains the python 3 version of the module.