Finds (and downloads) all journals from arXiv by given search criteria.
Project description
Find all papers from arXiv based on some query ( + option for downloading them )
Installation
>>> pip install arxivpy
Documentation
Official documentation can be found here
Example usage
>>> from arxivpy.client import ArXivPyClient
>>>
>>> client = ArXivPyClient()
>>>
>>> quantum = client.simple(query='quantum computing', page=2, download=True,
>>> path='path', downloadonly=10)
>>>
>>>
>>> algorithms = client.advanced(term='algorithms',
>>> classification='computer_science', size=200)
>>>
>>>
>>>
>>> alg_ds = client.advanced(terms=[{term: 'algorithms', field: 'title'},
>>> {term: 'data structures', field: 'title'}],
>>> classification='computer_science', size=200)
>>>
Licence
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
arxivpy-0.0.2.tar.gz
(5.1 kB
view details)
File details
Details for the file arxivpy-0.0.2.tar.gz.
File metadata
- Download URL: arxivpy-0.0.2.tar.gz
- Upload date:
- Size: 5.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
63ebe0aea054a75c312972da9e1b4c6b43737b7ae98e57df6e7129033baec810
|
|
| MD5 |
91794853f5b2f7778f4d45d56de9b73e
|
|
| BLAKE2b-256 |
5ccab0db39771f4edbd21887bcf6f184c1a2c72e973cfe45d087ff57b53854d9
|