Metadata-Version: 2.1
Name: pymed
Version: 0.8.0
Summary: Python library for access to PubMed
Home-page: https://github.com/gijswobben/pymed
Author: Gijs Wobben
Author-email: gijswobben@gmail.com
License: MIT
Description: # PyMed - PubMed Access through Python
        PyMed is a Python library that provides access to PubMed through the PubMed API.
        
        ## Why this library?
        The PubMed API is not very well documented and querying it in a performant way is too complicated and time consuming for researchers. This wrapper provides access to the API in a consistent, readable and performant way.
        
        ## Features
        This library takes care of the following for you:
        
        - Querying the PubMed database (with the standard PubMed query language)
        - Batching of requests for better performance
        - Parsing and cleaning of the retrieved articles
        
        ## Examples
        For full (working) examples have a look at the `examples/` folder in this repository. In essence you only need to import the `PubMed` class, instantiate it, and use it to query:
        
        ```python
        from pymed import PubMed
        pubmed = PubMed(tool="MyTool", email="my@email.address")
        results = pubmed.query("Some query", max_results=500)
        ```
        
        ## Notes on the API
        The original documentation of the PubMed API can be found here: [PubMed Central](https://www.ncbi.nlm.nih.gov/pmc/tools/developers/). PubMed Central kindly requests you to:
        
        > - Do not make concurrent requests, even at off-peak times; and
        > - Include two parameters that help to identify your service or application to our servers
        >   * _tool_ should be the name of the application, as a string value with no internal spaces, and
        >   * _email_ should be the e-mail address of the maintainer of the tool, and should be a valid e-mail address.
        
        ## Notice of Non-Affiliation and Disclaimer 
        The author of this library is not affiliated, associated, authorized, endorsed by, or in any way officially connected with PubMed, or any of its subsidiaries or its affiliates. The official PubMed website can be found at https://www.ncbi.nlm.nih.gov/pubmed/.
        
Keywords: PubMed PMC
Platform: UNKNOWN
Classifier: Topic :: Utilities
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
