Parsley is a parsing library using PEG algorithm, so each expression in the grammar rules works like a Python expression. In particular, alternatives are evaluated in order, unlike table-driven parsers such as yacc, bison or PLY. Parsley is an implementation of OMeta, an object-oriented pattern-matching language.

This package provides a Flake8 lint for quotes.

This package provides a Python interface for the netCDF4 file-format that reads and writes local or remote HDF5 files directly via https://www.h5py.org/ or https://github.com/HDFGroup/h5pyd, without relying on the Unidata netCDF library.

Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.

Citeproc-py is a CSL processor for Python. It aims to implement the CSL 1.0.1 specification. citeproc-py can output styled citations and bibliographies in a number of different output formats. Currently supported are plain text, reStructuredText and HTML.

Whoosh is a fast, pure-Python full text indexing, search, and spell checking library.

This Python package provides utilities to run common packaging tasks, e.g. copy examples, fetch data, etc.

MkDocs is a static site generator geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file.

This package contains typing stubs for TOML, a very small subset the Python stubs contained in the complete typeshed collection.

This package provides a library to extract data from spreadsheets using Microsoft Excel proprietary file formats .xls and .xlsx (versions 2.0 onwards). It has support for Excel dates and is Unicode-aware. It is not intended as an end-user tool.

This library is for working with MIDI 1.0 ports, messages and files.

This package implements a functionality to cache on disk the result of expensive calculations. It was started as part of Pint, the Python units package.

Python toolchain including Python itself, setuptools and pip. Use this package if you need a minimal Python toolchain instead of just the interpreter.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

This variant of Python provides an interpreter built with --with-pydebug to help develop and debug extensions. See https://pythonextensionpatterns.readthedocs.io/en/latest/debugging/debug.html, for more information.

This package provides wrappers for the commands of Python 3.x such that they can also be invoked under their usual names---e.g., python instead of python3 or pip instead of pip3.

To function properly, this package should not be installed together with the python package: this package uses the python package as a propagated input, so installing this package already makes both the versioned and the unversioned commands available.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.

MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. MicroPython is packed full of advanced features such as an interactive prompt, arbitrary precision integers, closures, list comprehension, generators, exception handling and more. Still it is compact enough to fit and run within just 256k of code space and 16k of RAM. MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Some of its key distinguishing features include: clear, readable syntax; strong introspection capabilities; intuitive object orientation; natural expression of procedural code; full modularity, supporting hierarchical packages; exception-based error handling; and very high level dynamic data types.