Merge pull request #3 from pythonhealthdatascience/img

chore(img): moved /img -> content/img. +update nb

Author: TomMonks

content/02_basic_simpy.ipynb

@@ -53,7 +53,7 @@
     "\n",
     "In this first example, let's assume (unrealistically) that prescriptions arrive **exactly** 5 minutes apart.\n",
     "\n",
-    "![Pharmacy with prescriptions every 5 minutes](../img/pharmacy.png)\n",
+    "![Pharmacy with prescriptions every 5 minutes](./img/pharmacy.png)\n",
     "\n",
     "## 4. The model building blocks\n",
     "\n",
@@ -212,7 +212,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.1.undefined"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,

content/04_111_model.ipynb

@@ -39,7 +39,7 @@
     "\n",
     "Call operators in an 111 (urgent care) service receive calls at a rate of 100 per hour. Call length can be represented by a triangular distribution.  Calls last between 5 minutes and 15 minutes. Most calls last 7 minutes. There are 13 call operators.\n",
     "\n",
-    "![Call Centre Diagram](../img/callcentre.png)"
+    "![Call Centre Diagram](./img/callcentre.png)"
    ]
   },
   {
@@ -741,7 +741,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,

content/05_basic_results.ipynb

@@ -52,7 +52,7 @@
     "* 😊 An advantage of this strategy is that it is very **simple**, captures all data, and has minimal computational overhead during a model run!\n",
     "* 😢 A potential disadvantage is that for complex simulation you may end up storing a **large amount of data in memory**. In these circumstances, it may be worth exploring event driven strategies to reduce memory requirements.\n",
     "\n",
-    "![](../img/callcentre_waittime.png)\n",
+    "![](./img/callcentre_waittime.png)\n",
     "\n",
     "In our example, we will:\n",
     "\n",
@@ -333,7 +333,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,