readme adapt for notebook and rename notebook

adapt readme to include notebook and rename notebook

Author: merelvdthiel

README.md

@@ -17,6 +17,9 @@ If you would like to contribute with code, please follow the instructions below:
 *   [Guidelines for IVIM code contribution](doc/guidelines_for_contributions.md)
 *   [Guidelines to creating a test file](doc/creating_test.md) 
 
+If you would like to use code from the repository and/or are new to Github or IVIM, please see the jupyter notebook below:
+*   [Introduction to TF2.4_IVIM-MRI_CodeCollection github and IVIM Analysis using Python](doc/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb)
+
 ## Repository Organization
 
 The repository is organized in four main folders along with configuration files for automated testing. 

doc/Introduction to TF2.4_IVIM-MRI_CodeCollection github and IVIM Analysis using Python.ipynb renamed to doc/.ipynb_checkpoints/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python-checkpoint.ipynb

@@ -34,7 +34,9 @@
    "id": "daac03e5",
    "metadata": {},
    "source": [
-    "## Import necessary libraries"
+    "## Install and import necessary libraries\n",
+    "\n",
+    "If you have not used python before, we need to ensure that you have the downloaded the required packages. Open the terminal. "
    ]
   },
   {
@@ -43,6 +45,30 @@
    "id": "56273b2a",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# install packages through the terminal\n",
+    "pip3 install numpy\n",
+    "pip3 install matplotlib\n",
+    "pip3 install scipy\n",
+    "pip3 install nibabel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6a1e6372-ce1e-47b9-881e-e76bf104d9fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Once all the packages are installed, you need to import them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9654f12d-6cfc-4639-884e-d7f2b23fa59f",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
@@ -61,7 +87,8 @@
    "source": [
     "# Loading Data\n",
     "\n",
-    "Due to the large data size, we stored example data elsewhere: https://zenodo.org/records/10696605\n"
+    "Due to the large data size, we stored example data elsewhere: https://zenodo.org/records/10696605\n",
+    "Make sure you have enough space on your computer to store the data."
    ]
   },
   {
@@ -929,7 +956,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,