diff --git a/examples/dynamic_cloud_cluster.ipynb b/examples/dynamic_cloud_cluster.ipynb
index 19cba27..252567f 100644
--- a/examples/dynamic_cloud_cluster.ipynb
+++ b/examples/dynamic_cloud_cluster.ipynb
@@ -228,7 +228,8 @@
     "    \"\"\"\n",
     "    Creates a new worker for trains.\n",
     "    First, create an instance in the cloud and install some required packages.\n",
-    "    Then, define trains-agent environment variables and run trains-agent for the specified queue.\n",
+    "    Then, define trains-agent environment variables and run \n",
+    "    trains-agent for the specified queue.\n",
     "    NOTE: - Will wait until instance is running\n",
     "          - This implementation assumes the instance image already has docker installed\n",
     "\n",
@@ -244,8 +245,9 @@
     "        instance_type=resource_conf[\"instance_type\"],\n",
     "    )\n",
     "\n",
-    "    # user_data script will automatically run when the instance is started. it will install the required packages\n",
-    "    # for trains-agent configure it using environment variables and run trains-agent on the required queue\n",
+    "    # user_data script will automatically run when the instance is started. \n",
+    "    # It will install the required packages for trains-agent configure it using \n",
+    "    # environment variables and run trains-agent on the required queue\n",
     "    user_data = \"\"\"#!/bin/bash \n",
     "    sudo apt-get update\n",
     "    sudo apt-get install -y python3-dev\n",
@@ -346,8 +348,8 @@
     "    \"\"\"\n",
     "    Destroys the cloud instance.\n",
     "\n",
-    "    :param instance_id: Cloud instance ID to be destroyed (currently, only AWS EC2 is supported)\n",
-    "    :type instance_id: str\n",
+    "    :param str instance_id: Cloud instance ID to be destroyed \n",
+    "        (currently, only AWS EC2 is supported)\n",
     "    \"\"\"\n",
     "    try:\n",
     "        boto3.resource(\"ec2\", region_name=CLOUD_CREDENTIALS_REGION).instances.filter(\n",
@@ -378,15 +380,16 @@
     "        2. Check if there are enough idle workers available for those tasks.\n",
     "        3. In case more instances are required, and we haven't reached max instances allowed,\n",
     "           create the required instances with regards to the maximum number defined in QUEUES\n",
-    "           Choose which instance to create according to their order QUEUES. Won't create more instances\n",
-    "           if maximum number defined has already reached.\n",
-    "    - spin down instances according to their idle time. instance which is idle for more than MAX_IDLE_TIME_MIN\n",
-    "    minutes would be removed.\n",
+    "           Choose which instance to create according to their order QUEUES. Won't create \n",
+    "           more instances if maximum number defined has already reached.\n",
+    "    - spin down instances according to their idle time. instance which is idle for \n",
+    "        more than MAX_IDLE_TIME_MIN minutes would be removed.\n",
     "    \"\"\"\n",
     "\n",
     "    # Internal definitions\n",
     "    workers_prefix = \"dynamic_aws\"\n",
-    "    # Worker's id in trains would be composed from prefix, name, instance_type and cloud_id separated by ';'\n",
+    "    # Worker's id in trains would be composed from:\n",
+    "    # prefix, name, instance_type and cloud_id separated by ';'\n",
     "    workers_pattern = re.compile(\n",
     "        r\"^(?P<prefix>[^:]+):(?P<name>[^:]+):(?P<instance_type>[^:]+):(?P<cloud_id>[^:]+)\"\n",
     "    )\n",
@@ -469,7 +472,8 @@
     "            # skip resource types that might be needed\n",
     "            if resources in required_idle_resources:\n",
     "                continue\n",
-    "            # Remove from both aws and trains all instances that are idle for longer than MAX_IDLE_TIME_MIN\n",
+    "            # Remove from both aws and trains all instances that are \n",
+    "            # idle for longer than MAX_IDLE_TIME_MIN\n",
     "            if time() - timestamp > MAX_IDLE_TIME_MIN * 60.0:\n",
     "                cloud_id = workers_pattern.match(worker.id)[\"cloud_id\"]\n",
     "                spin_down_worker(cloud_id)\n",