adding notebooks for profiling modules

episodes/notebooks/introduction.ipynb

@@ -0,0 +1,81 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e711a389-fa02-411b-a549-4612172c6a01",
+   "metadata": {},
+   "source": [
+    "# This course is\n",
+    "* Designed for researchers who write Python but lack formal computer science training\n",
+    "* Teaches how to assess where time is spent during execution of a Python program\n",
+    "* Provides a high-level understanding of how code executes\n",
+    "* Explains how execution maps to performance bottlenecks and highlights good practices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2ab7b89-eada-4c43-8259-066cd5ec53ab",
+   "metadata": {},
+   "source": [
+    "# Expected Outcomes: \n",
+    "After this training, participants will be able to:\n",
+    "* Use tools like cProfile and line_profiler to find which functions or lines of code take the most time.\n",
+    "* Check code to understand what slows it down.\n",
+    "* Spot common performance problems and apply fixes to make code run faster"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "303b5679-d006-4682-aa54-f818a77dbffb",
+   "metadata": {},
+   "source": [
+    "# Requirements to follow along the course:\n",
+    "1. Create a conda environment using python 3.11 or newer\n",
+    "   In command line, run: \n",
+    "```bash\n",
+    "conda create --name py311_env python=3.11\n",
+    "conda activate py311_env\n",
+    "```\n",
+    "2. Install the required packages:\n",
+    "```bash\n",
+    "pip install pytest snakeviz line_profiler[all] numpy pandas matplotlib\n",
+    "```\n",
+    "\n",
+    "**Note for MacOS users**:\n",
+    "`line_profiler` could also be installed as well using conda:\n",
+    "```bash\n",
+    "conda install -c conda-forge line_profiler\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ed2071b9-80ed-4dc4-ab38-89391d8d33a6",
+   "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": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}