update exercise

Author: lukebarousse

1_Basics/15_Exercise_Basics.ipynb

@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +58,7 @@
     "    {'role': 'Data Scientist', 'skills': ['Python', 'R', 'Machine Learning', 'Deep Learning']},\n",
     "    {'role': 'Machine Learning Engineer', 'skills': ['Python', 'TensorFlow', 'PyTorch', 'Scikit-Learn']},\n",
     "    {'role': 'Data Engineer', 'skills': ['Python', 'Apache Spark', 'Hadoop', 'SQL']},\n",
-    "    {'role': 'Business Intelligence Analyst', 'skills': ['SQL', 'Tableau', 'Power BI', 'Excel']},\n",
+    "    {'role': 'Business Intelligence Analyst', 'skills': ['Python', 'SQL', 'Tableau', 'Power BI', 'Excel']},\n",
     "    {'role': 'Quantitative Analyst', 'skills': ['R', 'Python', 'MATLAB', 'Statistics']},\n",
     "    {'role': 'Operations Analyst', 'skills': ['Python', 'SQL', 'Data Visualization', 'Process Improvement']},\n",
     "    {'role': 'Database Administrator', 'skills': ['SQL', 'Oracle', 'MySQL', 'Database Management']},\n",
@@ -86,6 +86,41 @@
   {
    "cell_type": "code",
    "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Data Analyst', 'Business Intelligence Analyst']"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Determine which jobs you're qualified for \n",
+    "qualified_roles = []\n",
+    "\n",
+    "for job in job_roles:\n",
+    "    # Initialize qualified flag\n",
+    "    qualified = True\n",
+    "    # Go through each skill in the skills key\n",
+    "    for skill in my_skills:\n",
+    "        if skill not in job['skills']:\n",
+    "            qualified = False\n",
+    "            break\n",
+    "    if qualified:\n",
+    "        # Add the job dictionary to the qualified_jobs list\n",
+    "        qualified_roles.append(job['role'])\n",
+    "\n",
+    "qualified_roles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -103,22 +138,29 @@
     "id": "_F6xhXQUiNX-",
     "outputId": "65dcc832-2e0a-4e87-cd80-ae65d187726d"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Data Analyst', 'Business Intelligence Analyst']"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Determine which jobs you're qualified for \n",
     "qualified_roles = []\n",
     "\n",
     "for job in job_roles:\n",
-    "    # Initialize qualified flag\n",
-    "    qualified = True\n",
-    "    # Go through each skill in the skills key\n",
-    "    for skill in job['skills']:\n",
-    "        if skill not in my_skills:\n",
-    "            qualified = False\n",
-    "            break\n",
-    "    if qualified:\n",
-    "         # Add the job dictionary to the qualified_jobs list\n",
-    "        qualified_roles.append(job['role'])"
+    "    # Check if all required skills are in my_skills\n",
+    "    if all(skill in job['skills'] for skill in my_skills):\n",
+    "        # Add the job role to the qualified_roles list\n",
+    "        qualified_roles.append(job['role'])\n",
+    "\n",
+    "qualified_roles"
    ]
   },
   {
@@ -136,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -171,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -207,7 +249,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.19"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,