Metadata-Version: 2.1
Name: henrietta
Version: 0.6.2
Summary: Python toolkit playing with stellar brightness measurements, for ASTR3400 at CU Boulder.
Home-page: https://github.com/zkbt/henrietta
Author: Zach Berta-Thompson
Author-email: zach.bertathompson@colorado.edu
License: MIT
Description: # henrietta
        Tools for the Fall 2018 semester of ASTR3400: Research Methods (The Henrietta Project). The documentation for using these tools, along with some examples and exercises, are located over at [zkbt.github.io/henrietta/docs](http://zkbt.github.io/henrietta/docs).
        
        ## Installation
        If you're working on the `scorpius` computers at SBO, you should be able to access these tools simply by running `source henrietta` from a UNIX prompt.
        
        If you're working on your own computer, you should be able to install this by running
        ```
        pip install henrietta
        ```
        from a UNIX prompt. As we add more code to this package, you may need to upgrade the version that is installed on your computer. To upgrade, run
        ```
        pip install henrietta --upgrade
        ```
        instead. That will make sure it always grabs the latest version of the code.
        
        Sometimes (if we've recently updated a dependency package), you might need to 
        
        If you want to be able to modify the code yourself, please also feel free to fork/clone this repository onto your own computer and install directly from that editable package. For example, this might look like:
        ```
        git clone https://github.com/zkbt/henrietta.git
        cd henrietta/
        pip install -e .
        ```
        This will link the installed version of the `henrietta` package to your local repository. Changes you make to the code in the repository should be reflected in the version Python sees when it tries to `import henrietta`.
        
        ## Contributors
        
        This package was written by [Zach Berta-Thompson](https://github.com/zkbt), [Will Waalkes](https://github.com/waalkesw), and [Jessica Roberts](https://github.com/jessicaeroberts).
        
Platform: UNKNOWN
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Astronomy
Provides-Extra: docs
Provides-Extra: models
