Automated scientific literature discovery and curation for Awesome lists
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
awescholar-0.1.4.tar.gz
(31.0 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-0.1.4.tar.gz.
File metadata
- Download URL: awescholar-0.1.4.tar.gz
- Upload date:
- Size: 31.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4e3e02f268f0f1013fa73546c4a8d8bb829bec20cd9d4e0fddf270ba5d47253e
|
|
| MD5 |
30d63c061fe92a516ffc1d8fb7f7a1c3
|
|
| BLAKE2b-256 |
0d409c8605ddbc31f88863c0a3c89b2c3f162aea17bd143f2b75220d84a6bd88
|
File details
Details for the file awescholar-0.1.4-py3-none-any.whl.
File metadata
- Download URL: awescholar-0.1.4-py3-none-any.whl
- Upload date:
- Size: 25.5 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 |
9f76f7e06abeaf3b01b4d01330dddc2db375a3310963606d27599eb2954118fe
|
|
| MD5 |
134778868cab897715d20bb043fcf61e
|
|
| BLAKE2b-256 |
92c4e12a5faec5da60d570845c2ab5d474b435c00c222d0d613eb1b73771671c
|
