Add log of virtual class. (#379)

_posts/2024-10-30-virtual-probability-lab.md

@@ -9,7 +9,7 @@ for Mathematics](https://vknight.org/pfm/tools-for-mathematics/06-probability/tu
 
 You can see a recording of the class [here](https://cardiff.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c1ba87bd-b2b8-406a-8e75-b21900cc46b7).
 
-You can find the notebook I worked on here [combinatorics-tutorial.ipynb]({{site.baseurl}}/assets/nbs/2024-2025/probability-tutorial.ipynb).
+You can find the notebook I worked on here [probability-tutorial.ipynb]({{site.baseurl}}/assets/nbs/2024-2025/probability-tutorial.ipynb).
 
 Note that I have also updated the notebook from the class which you can find
-here: [combinatorics.ipynb]({{site.baseurl}}/assets/nbs/2024-2025/probability.ipynb)
+here: [probability.ipynb]({{site.baseurl}}/assets/nbs/2024-2025/probability.ipynb)

_posts/2024-11-13-virtual-sequences-lab.md

@@ -0,0 +1,14 @@
+---
+layout: post
+title: "Virtual lab: Sequences"
+tags: sequences
+---
+
+Today's virtual lab went over the tutorial for the Sequences chapter for [Python
+for Mathematics](https://vknight.org/pfm/tools-for-mathematics/07-sequences/tutorial/main.html).
+
+You can see a recording of the class [here](https://cardiff.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=7746463b-8996-4c71-9b59-b22700bad326).
+
+You can find the notebook I worked on here [sequences-tutorial.ipynb]({{site.baseurl}}/assets/nbs/2024-2025/sequences-tutorial.ipynb).
+
+You can also find the board I wrote on when talking about [the Collatz conjecture](https://en.wikipedia.org/wiki/Collatz_conjecture) here [collatz]({{site.baseurl}}/assets/boards/2024-2025/collatz.ipynb)

assets/nbs/2024-2025/more-probability.ipynb

@@ -0,0 +1,164 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6b385490-e3ac-45b6-b7e1-1cd71cc5a3b8",
+   "metadata": {},
+   "source": [
+    "## Question 4 from probability chapter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f91543c8-a6f2-4911-a417-a9c997a61815",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "\n",
+    "def sample_experiment():\n",
+    "    \"\"\"\n",
+    "    Sample a travel method and whether or not we are late\n",
+    "    \"\"\"\n",
+    "    random_number = random.random()\n",
+    "    if random_number < 1 / 2:\n",
+    "        travel_method = \"car\"\n",
+    "        probability_of_late = 1 / 5\n",
+    "    elif random_number < 1 / 2 + 1 / 6:\n",
+    "        travel_method = \"bike\"\n",
+    "        probability_of_late = 2 / 5\n",
+    "    else:\n",
+    "        travel_method = \"foot\"\n",
+    "        probability_of_late = 1 / 10\n",
+    "    return travel_method,  random.random() < probability_of_late"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "839b73a0-8d10-4446-9edc-bc491d461efa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "\n",
+    "def sample_experiment():\n",
+    "    \"\"\"\n",
+    "    Sample a travel method and whether or not we are late\n",
+    "    \"\"\"\n",
+    "    random_number = random.random()\n",
+    "    \n",
+    "    if random_number < 1 / 2:\n",
+    "        travel_method = \"car\"\n",
+    "        is_late = random.random() < 1 / 5\n",
+    "        return travel_method, is_late\n",
+    "    \n",
+    "    if random_number < 1 / 2 + 1 / 6:\n",
+    "        travel_method = \"bike\"\n",
+    "        is_late = random.random() < 2 / 5\n",
+    "        return travel_method, is_late\n",
+    "\n",
+    "    travel_method = \"foot\"\n",
+    "    is_late = random.random() < 1 / 10\n",
+    "    return travel_method, is_late"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "91c27fee-58e4-4515-98f4-86b40c53dbb6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "81.91554102604361"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "random.random() * 1/5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "6ce5e629-5c6f-4c7c-bb9e-b98cf8a8c697",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m \u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Return random integer in range [a, b], including both end points.\n",
+       "        \n",
+       "\u001b[0;31mFile:\u001b[0m      /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/random.py\n",
+       "\u001b[0;31mType:\u001b[0m      method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "random.randint?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6c802fd8-0091-4f3d-9b2b-5e3a4b6f28a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Riggins'"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "random.choice((\"Julien\", \"Kaitlynn\", \"Riggins\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "126e9a9d-d2b5-4abb-b245-e51007841e75",
+   "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": "3.13.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}