solved_wk2_prework_aboutme

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

.ipynb_checkpoints/about-me-checkpoint.ipynb

@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## About Me Lab: AI Engineering, Data Analytics & Data Science\n",
+    "\n",
+    "In this notebook, you'll write a short introduction about yourself using Python!\n",
+    "\n",
+    "### Instructions:\n",
+    "- Fill in the variables below with your details.\n",
+    "- Run the cell to print your introduction.\n",
+    "\n",
+    "### What to Include:\n",
+    "- Your name.\n",
+    "- Why you're interested in AI Engineering, Data Analytics or Data Science.\n",
+    "- A fun fact about yourself or a goal for this course.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# About Me\n",
+    "# Please fill in the following details.\n",
+    "\n",
+    "name = \"Your Name Here\"\n",
+    "reason = \"Why you are interested in AI, Data Analytics, or Data Science\"\n",
+    "fun_fact = \"One fun fact about yourself or a goal for this course\"\n",
+    "\n",
+    "print(f\"Hi! My name is {name}. I’m excited to learn because {reason}. A fun fact about me is: {fun_fact}.\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Untitled.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

about-me.ipynb

@@ -20,26 +20,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hi! My name is Safina E Jahan. I’m excited to learn because I like to upskills myself. A fun fact about me is: I am a expert in windowshopping.\n"
+     ]
+    }
+   ],
    "source": [
     "# About Me\n",
     "# Please fill in the following details.\n",
     "\n",
-    "name = \"Your Name Here\"\n",
+    "name = \"Safina E Jahan\"\n",
     "reason = \"Why you are interested in AI, Data Analytics, or Data Science\"\n",
     "fun_fact = \"One fun fact about yourself or a goal for this course\"\n",
     "\n",
-    "print(f\"Hi! My name is {name}. I’m excited to learn because {reason}. A fun fact about me is: {fun_fact}.\")"
+    "print(f\"Hi! My name is {name}. I’m excited to learn because {\"I like to upskills myself\"}. A fun fact about me is: {\"I am a expert in windowshopping\"}.\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [conda env:base] *",
    "language": "python",
-   "name": "python3"
+   "name": "conda-base-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -51,9 +66,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }