Add detailed steps on how to create and add conda environments to jupyter notebook

docs/conda_windows_install.md

@@ -17,3 +17,67 @@ conda deactivate
 ```
 
 To use your environment, run the command "conda activate popsborder_env" or select the popsborder_env environment from your IDE (e.g. VS Code, Atom, PyCharm).
+
+## Adding Conda Environments to Jupyter Notebook
+
+Conda allows you to create isolated environments with specific versions of Python and its packages.
+This prevents conflicts between
+different projects' dependencies.
+
+### Step 1: Create your conda environment
+Inside of your conda based command line navigate inside your forked PopsBorder
+folder. Next use the following command
+```bat
+conda create -n PopsBorderEnv python=3.8
+```
+This creates your environment with python version 3.8.
+PopsBorderEnv is the name of your environment. Change as needed.
+
+### Step 2: Activate your environment
+Using your newly created environment from the previous step, run
+```bat
+conda activate PopsBorderEnv
+```
+Now you have entered into your environment.
+
+### Step 3: Install pipenv into you environment
+Now install pipenv into your environment, a packaging tool we utilize
+for our project.
+```bat
+conda install pipenv
+```
+
+### Step 4: Install dependencies using pipenv
+To download dependencies and create a virtual environment from the Pipfile.lock use:
+```bat
+pipenv install
+```
+
+### Step 5: Install your jupyter notebook in your Virtual Environment
+Run the command below to install the necessary python kernel.
+```bat
+pipenv run conda install ipykernel
+```
+Next Run the following command replacing PopsBorderEnv with your
+environment name:
+```bat
+pipenv run python -m ipykernel install --user --name=PopsBorderEnv
+```
+This installs a jupyter kernel in your environment, allowing you to
+use your kernel in Jupyter Notebook.
+
+### Step 6: Open Jupyter Notebook
+Run from within your environment
+```bat
+pipenv run jupyter notebook
+```
+This will open jupyter notebook in your default browser or provide
+a url in the terminal. You now have your environment linked to
+jupyter notebook.
+
+### Step 7: Select the correct kernel
+Navigate into the notebook file you want to run, denoted by .ipynb.
+Examples can be found in the /examples/notebooks folder.
+Click on the Kernel tab, then the "Change Kernel" tab and select your
+created environment, in this case ours is "PopsBorderEnv".
+Now you can run the notebook files.