Update README after changes to project a package

Author: php1ic

README.md

@@ -5,30 +5,14 @@
 
 ## Introduction
 
-The nuclear mass tables produced by [NUBASE](http://amdc.in2p3.fr/web/nubase_en.html) and [AME](https://www-nds.iaea.org/amdc/) are parsed into pandas dataframes.
-These dataframes are then read with the [dash](https://plotly.com/dash/) module to create an interactive webpage to allow the user to interogate the data they are interested in.
+The nuclear mass tables produced by [NUBASE](http://amdc.in2p3.fr/web/nubase_en.html) and [AME](https://www-nds.iaea.org/amdc/) have unique formats.
+This package does the hard work for you and parses the files into a single pandas dataframe for simpler access.
 
 No guarantee is supplied with regards to the accuracy of the data presented.
 Estimated values are included, please always refer to the original sources.
 All data should, however, be accurate.
 
-Additional functionality and polish will be added as I learn more about [dash](https://plotly.com/dash/).
-In the meantime, suggestions are welcome via [issues](https://github.com/php1ic/pynch/issues) or a pull request.
-
-## Setup
-
-As is the standard, you can confirm you have the necessary modules using the [requirements.txt](./requirements.txt) file
-```bash
-pip install --user -r requirements.txt
-```
-
-## Running
-
-With all of the necessary requirements installed, the below will start the app
-```bash
-python3 app.py
-```
-The console will tell you where to point your browser - likely http://127.0.0.1:8050/.
+Suggestions are welcome via [issues](https://github.com/php1ic/pynch/issues) or a pull request.
 
 ## Mass tables
 
@@ -41,9 +25,16 @@ The data files released by the papers linked below are used to create the mass t
 The NUBASE files are read for all of the data values, with the AME files being used to populate an additional mass excess data field.
 No comparison or validation is done on common values.
 
-## Additional uses
+## Setup
+
+Until the package is added to Python Package Index, the local clone of the repo must be installed from within the top level directory.
+```bash
+pip install -e .
+```
+
+## Usage
 
-If you want to do your own thing with the data, you could import this module, access `MassTable().full_data`, then sort, slice and filter the resultant dataframe to your heart's content.
+Import the module to access `MassTable().full_data`, then sort, slice and filter the resultant dataframe to your heart's content.
 
 For example, track how the accuracy of the mass excess of 18B changes once it is experimentally measured
 ```python