CITATION.cff

cff-version: 1.2.0
title: >-
  PyRCS: An open-source tool for collecting railway codes
  used in different UK rail industry systems
message: >-
  If you use PyRCS and/or any code from its GitHub
  repository, please cite it using the metadata provided in
  this file. For specific version references of PyRCS,
  please refer to Zenodo
type: software
authors:
  - given-names: Qian
    family-names: Fu
    email: q.fu@bham.ac.uk
    affiliation: University of Birmingham
    orcid: 'https://orcid.org/0000-0002-6502-9934'
identifiers:
  - type: doi
    value: 10.5281/zenodo.4026744
    description: >-
      This DOI represents all versions of PyRCS, and will
      always resolve to the latest one.
repository-code: 'https://github.com/mikeqfu/pyrcs'
url: 'https://mikeqfu.github.io/pyrcs/'
repository: 'https://pyrcs.readthedocs.io/'
repository-artifact: 'https://pypi.org/project/pyrcs/'
abstract: >-
  PyRCS is an open-source Python package designed to
  simplify the collection and management of diverse codes
  used in different systems within the UK rail industry. It
  serves as a practical toolkit for researchers,
  practitioners, and individuals who frequently interact
  with the Railway Codes website and work extensively with
  railway codes in the UK. Leveraging the capabilities of
  the Python programming language, PyRCS enables efficient
  access to and manipulation of railway code data, enhancing
  productivity and effectiveness in working with these
  codes.

  During installation, PyRCS includes a set of pre-packaged
  data. When users request data from a specific category
  listed on the Railway Codes website, PyRCS automatically
  loads the corresponding pre-packaged data for that
  category by default. Additionally, it provides
  functionality that enables direct access to the latest
  data from the data source website, ensuring users can stay
  updated with the most current information. Furthermore,
  PyRCS users can conveniently update the relevant
  pre-packaged data, keeping their data resources
  synchronized with the latest developments.

  With PyRCS, users can leverage Python's power to
  streamline workflows and enhance productivity when working
  with railway codes in the UK rail industry.
keywords:
  - Python
  - Railway
  - Railway Codes
  - Bridges
  - Computer Reservation System
  - CRS
  - National Location Codes
  - NLC
  - Timing Point Locations
  - TIPLOC
  - Station Number Names
  - STANME
  - Station Numbers
  - STANOX
  - Electrification
  - Engineer's Line References
  - ELR
  - Mileage
  - Line Of Route
  - LOR
  - Railway Line Names
  - Railway Bridges
  - Stations
  - Signal Boxes
  - Tunnels
  - Viaducts
  - Depots
  - Tracks
license: MIT
date-released: '2020-09-12'