Metadata-Version: 2.1
Name: datajazz
Version: 0.0.2
Summary: Tools to jazz up your data.
Home-page: https://github.com/datajazz/datajazz
Author: The DataJazz Authors
Author-email: getdatajazz@gmail.com
License: UNKNOWN
Description: # DataJazz
        Tools to jazz up your data.
        
        DataJazz is toolkit for manipulating and optimizing your data for analysis, machine learning, extraction, transformation, and loading (ETL). 
        
        ## Contributing
        DataJazz is an open-source project founded and maintained to better serve the data science and machine learning community. Please feel free to submit pull requests to contribute to the project. By participating, you are expected to adhere to DataJazz's [code of conduct](CODE_OF_CONDUCT.md).
        
        ## Installation
        ```pip install datajazz
        ```
        
        ## Example usage
        ### One-hot encode your categorical columns
        ```
        import datajazz as dj
        df = dj.onehot_categories(df)
        ```
        
        ### Create time-of-time features
        ```
        import datajazz as dj
        df = dj.timeoftime(df)
        ```
        
        ### Remove redundant rows and columns
        ```
        import datajazz as dj
        df = dj.remove_redundancies(df)
        ```
        
        
        ### Many more use cases to come! Submit a pull request to add a new use case.
Keywords: modeling fit feature engineering data science machine learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
