arxivs
Get arXiv AI paper.
Install
pip install arxivs
Usage
import arxivs
paper_list = arxivs.get_paper(tags=["cs.CL"], days=1)
print(paper_list[0])
Tag List
cs.AI: Artificial Intelligence
cs.CL: Computation and Language
cs.CV: Computer Vision and Pattern Recognition
cs.FL: Formal Languages and Automata Theory
cs.IR: Information Retrieval
cs.LG: Learning
cs.MA: Multiagent Systems
cs.NE: Neural and Evolutionary Computing
stat.ML: Machine Learning
LICENSE
1 maintainer
Metadata
1 maintainer
Release files for arxivs 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| arxivs-0.0.1.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arxivs-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / arxivs-0.0.1.tar.gz
| Download URL | arxivs-0.0.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Release files / arxivs-0.0.1-py3-none-any.whl
| Download URL | arxivs-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
