updated readme and ensembles notebook

README.md

@@ -55,9 +55,14 @@ We can also install the package from source, which is useful for development ver
 
 This will install the package, along with all the dependencies, into the current active (virtual) python environment.
 
-#### After installation
+#### After installation from source
 After installing the code via source it is useful to run the test suite before doing any programming with it. The test suite is stored in `binarycpython/tests` and running `python main.py` in there will run all the tests. 
 
+### Use of code without installation
+Because installing `binary_c-python` requires a working installation of `binary_c`, installing via pip or from source without this working installation of `binary_c` won't work. To still make use of some of the functions provided by `binary_c-python`, you can add the path to the code-base to your `PYTHONPATH`:
+- Download `binary_c-python`, via e.g. `git clone https://gitlab.com/binary_c/binary_c-python.git` 
+- Add the path to the downloaded repo to your `$PYTHONPATH`, via e.g. `export PYTHONPATH="~/binary_c-python:$PYTHONPATH"`
+
 ## Usage
 ### Examples
 See the examples/ directory for example scripts and notebooks. The documentation contains example pages as well. 

examples/notebook_ensembles.ipynb

 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d1d00572-29aa-4f27-a59c-f9f05889da7d",
+   "metadata": {},
+   "source": [
+    "# Tutorial: Generating and handling ensemble data\n",
+    "TODO: coming soon!"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d4799c94-afd8-41db-ab82-e0a6e278ed77",
+   "id": "e8d9fca3-dd16-4c2c-a180-14d9a6b533ed",
    "metadata": {},
    "outputs": [],
    "source": []