pierwsze przykłady jupyter

jupyter/brudnopis.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7a586e53-d456-4547-8723-913555b05982",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello world\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Hello world\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "51539c20-898e-4a7d-bce2-638f6d4ee4f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Ala ma kota'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'Ala ma kota'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6fddcec8-4bc1-4629-abe9-8c557535f6cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2+3*4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "363a12c8-4678-43b6-a626-45004a4686a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tab = [[x * y for y in range(1, 11)] for x in range(1, 11)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "246e9969-2259-4f71-8271-ddd3c77f245e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n",
+       " [2, 4, 6, 8, 10, 12, 14, 16, 18, 20],\n",
+       " [3, 6, 9, 12, 15, 18, 21, 24, 27, 30],\n",
+       " [4, 8, 12, 16, 20, 24, 28, 32, 36, 40],\n",
+       " [5, 10, 15, 20, 25, 30, 35, 40, 45, 50],\n",
+       " [6, 12, 18, 24, 30, 36, 42, 48, 54, 60],\n",
+       " [7, 14, 21, 28, 35, 42, 49, 56, 63, 70],\n",
+       " [8, 16, 24, 32, 40, 48, 56, 64, 72, 80],\n",
+       " [9, 18, 27, 36, 45, 54, 63, 72, 81, 90],\n",
+       " [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tab"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "911594e8-230f-40bd-884a-1559a149a5f0",
+   "metadata": {},
+   "source": [
+    "Zwykły tekst.\n",
+    "\n",
+    "# Nagłówek\n",
+    "\n",
+    "Lista:\n",
+    "- jeden\n",
+    "- dwa\n",
+    "- trzy\n",
+    "\n",
+    "Odnośnik do [strony ALX](https://alx.pl)\n",
+    "\n",
+    "Zmienna `emp` jest klasy `Employee`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66eb1372-6868-4513-9f5b-3624be92ebb2",
+   "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": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}