Skip to main content

A simulation of the countdown game show used for demonstration.

Project description

The Countdown Simulation

Introduction

This project is a model answer from the first coursework assignment set for ECM1400 in 2019. The purpose is to demonstrate how code can not only be used to run locally but can be published and extended within the Python ecosysetm.

The code in this project runs a simulation of the channel 4 gameshow countdown.

Prerequisites

To run this code you will need Python 3.7 or above.

User instructions

To use the repository install and import the package as shown below.

$ pip install countdown-pkg-mcollison

from countdown import ca1_model_answer as countdown countdown.tests() countdown.game_play()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coundown-pkg-mcollison-0.0.3.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

coundown_pkg_mcollison-0.0.3-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file coundown-pkg-mcollison-0.0.3.tar.gz.

File metadata

  • Download URL: coundown-pkg-mcollison-0.0.3.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.4

File hashes

Hashes for coundown-pkg-mcollison-0.0.3.tar.gz
Algorithm Hash digest
SHA256 7a72261946b9a7888874180ff8ea96149a39e012a895c2952ab5e2a303cc6811
MD5 33ee8b3d2bc7c88084cd2fdf9b2f193c
BLAKE2b-256 4e3e421522b5dcff3d7995a4b55a2509786155f85470d5ef9c0817e7e6de37d2

See more details on using hashes here.

File details

Details for the file coundown_pkg_mcollison-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: coundown_pkg_mcollison-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.4

File hashes

Hashes for coundown_pkg_mcollison-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 815019f15f3b44daa6156edc8fc0fe3aa75b2168d7b3f919eddb0653e2031ffe
MD5 4733f57dcd5c8402f4677755556b6d79
BLAKE2b-256 7e0332c5905309860373dbd51179272af016f44ecabff65471ecb8460a68eea0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page