Skip to main content

Automated scientific literature discovery and curation for Awesome lists

Project description

The author of this package has not provided a project description

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

awescholar-0.1.2.tar.gz (20.0 kB view details)

Uploaded Source

Built Distribution

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

awescholar-0.1.2-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file awescholar-0.1.2.tar.gz.

File metadata

  • Download URL: awescholar-0.1.2.tar.gz
  • Upload date:
  • Size: 20.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for awescholar-0.1.2.tar.gz
Algorithm Hash digest
SHA256 ccbdb0069b9fa4830bf33923f0007e0a31c2d9e02654944b8f0b205c51053f45
MD5 45abfe1d996d8d2c45f8df5ef0895b0b
BLAKE2b-256 b9c13938dd5fb508634f77a111d6a12c68008cea279b45edad1da2836d8d0517

See more details on using hashes here.

File details

Details for the file awescholar-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: awescholar-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for awescholar-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 4c264819f3c3ae4a25236334087a3b4a87ace2ef18c64ad79410e361b27574ea
MD5 45265651e11a28ebe5b376f6030ac7ca
BLAKE2b-256 3e4df6efd0df3cd4563ef63d52bda1269c154b9b4977c90d57d555264a035778

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