Skip to main content

pybirdsreynolds is a simulation of bird flocking behavior using Reynolds rules

Project description

The complete description/installation/use/FAQ is available at : https://github.com/thib1984/pybirdsreynolds#readme

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

pybirdsreynolds-1.2.2.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pybirdsreynolds-1.2.2-py3-none-any.whl (9.8 kB view details)

Uploaded Python 3

File details

Details for the file pybirdsreynolds-1.2.2.tar.gz.

File metadata

  • Download URL: pybirdsreynolds-1.2.2.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for pybirdsreynolds-1.2.2.tar.gz
Algorithm Hash digest
SHA256 9be3cc791a0e9c89066f5546cf746a62311f89e1d5dec13b5d0fce89e90234c5
MD5 4dfc9783a956871a04bb69a8cc54fdd5
BLAKE2b-256 261fb9979277b7dfe2b6f795872265269f3be119129c8829b855dd7a6ed3cd31

See more details on using hashes here.

File details

Details for the file pybirdsreynolds-1.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for pybirdsreynolds-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ad26694fa7b543deff22e98a098b0a34ab417206d874fb3ff5c187e580fe7ed5
MD5 7f6b7bb7cd193f3c71114cf79d1594a1
BLAKE2b-256 9a2deb12f1058a748b4db2c5032bffa929088a20b61b17553ba5dd9d20622a5a

See more details on using hashes here.

Supported by

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