modified: README.md

README.md

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 SPSPy is a Python based package of tools for use with the Super-Enge Split-Pole Spectrograph at FSU. Much of the code here is based on Java programs originally written at Yale University by D.W. Visser, C.M. Deibel, and others. Currently the package contains SPSPlot, a tool aimed at informing users which states should appear at the focal plane of the SESPS, and SPANC, a tool for calibrating the position spectra from the focal plane.
 
 ## Depencencies and Requirements
-To ensure capability, use python 3.14. The requirements for running SPSPy are outlined in the requirements.txt file located in the repository. It is recommended to install these to a local virtual environment using `pip install -r requirements.txt`. For conda use the environments.yml file to create a conda environment for SPSPy.
-The recommended install for SPSPy dependencies is via pip.
+To ensure capability, use python 3.14. The requirements for running SPSPy are outlined in the requirements.txt file located in the repository. It is recommended to install these to a local virtual environment using `pip install -r requirements.txt`.
 
 ### Creating a virtual environment with pip
 To create a virtual environment with pip in the terminal for MacOS or Linux use `python3 -m venv env` to create a local virtual environment named `env` (or whatever name you'd like), or on Windows use `py -m venv env` to do the same. To activate your new environment run `source env/bin/activate` in MacOS or Linux, or `.\env\Scripts\activate`. Now you can run the above `pip` command to install all dependencies to the virtual environment. To leave the virtual environment use the command `deactivate` in your terminal.