Amber workspace

README.md

@@ -1,4 +1,5 @@
 ### rmotr.com
 # Data Science with Python Course
 
-This material is created for our [Data Science with Python Course](https://rmotr.com/data-science-python-course)
+This material is created for our [Data Science with Python Course](https://rmotr.com/data-science-python-course)
+This has Amber's changes too

Tutorial.ipynb

@@ -522,6 +522,8 @@
    "source": [
     "## Final words and how to get help\n",
     "\n",
+    "And I am done\n",
+    "\n",
     "That's it! It's your time now to start working and playing around with jupyter lab and Notebooks.ai. This product is in an early stage, so we'd love to receive all your feedback and suggestions. If you need help or ideas for us to implement, create an issue in the following replo: [https://github.com/notebooks-ai/notebooks-help](https://github.com/notebooks-ai/notebooks-help). It'll be highly appreciated!"
    ]
   },
@@ -535,7 +537,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -549,9 +551,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

test.ipynb

@@ -0,0 +1,75 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e8450913-6304-409f-894f-f37dce3842ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "1*1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ff3daaa0-65ae-4539-8d79-e86582ead323",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 + 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8aff457d-8023-423c-ac10-cbdac1a55cd4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}