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-0.1.5.tar.gz
(36.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file awescholar-0.1.5.tar.gz.
File metadata
- Download URL: awescholar-0.1.5.tar.gz
- Upload date:
- Size: 36.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c95182fee4a1d044386fa7f0004b244f31ccdb8385aa1a0b64c8536794e97cf0
|
|
| MD5 |
6ee0de780cec3641f433f08f8c5e069a
|
|
| BLAKE2b-256 |
ee89e97dbfc9865c3ebbb82fd5d45428ffc3611879115f98029bd874a150e50f
|
File details
Details for the file awescholar-0.1.5-py3-none-any.whl.
File metadata
- Download URL: awescholar-0.1.5-py3-none-any.whl
- Upload date:
- Size: 31.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7446371c866652f13332482b5c733664e776f3fb4b70e584c9aa090e40d0791f
|
|
| MD5 |
4e7b6078cb072753f4460e0405baa14d
|
|
| BLAKE2b-256 |
de03535e2570d17d6e4726b50ce062027f9a4a94361c5d954d7fe90960ff62df
|