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QuantEcon · Nov 4, 2024 · a857407 · a857407
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diff --git a/_notebooks/about_py.ipynb b/_notebooks/about_py.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d780e4e2",
+   "id": "eb86b6be",
    "metadata": {},
    "source": [
     "\n",
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f9e9b958",
+   "id": "f02d37d0",
    "metadata": {},
    "source": [
     "# About These Lectures\n",
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "edba74ee",
+   "id": "8a3d2142",
    "metadata": {},
    "source": [
     "## Overview\n",
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8c26017",
+   "id": "27f5d389",
    "metadata": {},
    "source": [
     "### Can’t I Just Use ChatGPT?\n",
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "82be55c8",
+   "id": "507182ae",
    "metadata": {},
    "source": [
     "### Isn’t MATLAB Better?\n",
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8e5a09c",
+   "id": "e59b7aea",
    "metadata": {},
    "source": [
     "## What’s Python?\n",
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "908b91b3",
+   "id": "3c45ec3f",
    "metadata": {},
    "source": [
     "### Common Uses\n",
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "327c57ce",
+   "id": "36a7d43f",
    "metadata": {},
    "source": [
     "### Relative Popularity\n",
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d0318359",
+   "id": "f7002ac7",
    "metadata": {},
    "source": [
     "### Features\n",
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "66e87d31",
+   "id": "8d64df1c",
    "metadata": {},
    "source": [
     "### Syntax and Design\n",
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1370e055",
+   "id": "18c12aee",
    "metadata": {
     "hide-output": false
    },
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "95e9ca2c",
+   "id": "e5bcd5a5",
    "metadata": {},
    "source": [
     "This Java code opens an imaginary file called `data.csv` and computes the mean\n",
@@ -289,7 +289,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2bfdc70e",
+   "id": "4a9007c3",
    "metadata": {
     "hide-output": false
    },
@@ -311,15 +311,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50428602",
+   "id": "77f838ea",
    "metadata": {},
    "source": [
     "The simplicity of Python and its neat design are a big factor in its popularity."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3f786bb8",
+   "id": "18a99af8",
    "metadata": {},
    "source": [
     "### The AI Connection\n",
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3dcf8b96",
+   "id": "9ef77e37",
    "metadata": {},
    "source": [
     "## Scientific Programming with Python\n",
@@ -375,7 +375,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7084a840",
+   "id": "eb79f52f",
    "metadata": {},
    "source": [
     "### NumPy\n",
@@ -392,7 +392,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "efb44e38",
+   "id": "9c7bc78c",
    "metadata": {
     "hide-output": false
    },
@@ -404,7 +404,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ad832f4e",
+   "id": "9425812f",
    "metadata": {},
    "source": [
     "This array is very small so it’s fine to work with pure Python.\n",
@@ -422,7 +422,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ddb6833a",
+   "id": "d3c1c8bb",
    "metadata": {
     "hide-output": false
    },
@@ -436,7 +436,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5dfc2e40",
+   "id": "002e7079",
    "metadata": {},
    "source": [
     "Now let’s transform this array by applying functions to it."
@@ -445,7 +445,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "67a98e90",
+   "id": "a9d46326",
    "metadata": {
     "hide-output": false
    },
@@ -457,7 +457,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d1d79e73",
+   "id": "e33439bc",
    "metadata": {},
    "source": [
     "Now we can easily take the inner product of `b` and `c`."
@@ -466,7 +466,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7fa027b2",
+   "id": "7fd799cb",
    "metadata": {
     "hide-output": false
    },
@@ -477,7 +477,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10405234",
+   "id": "2566a75c",
    "metadata": {},
    "source": [
     "We can also do many other tasks, like\n",
@@ -492,7 +492,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4cc1e4c2",
+   "id": "190762ac",
    "metadata": {},
    "source": [
     "### NumPy Alternatives\n",
@@ -515,7 +515,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19428881",
+   "id": "3df2743a",
    "metadata": {},
    "source": [
     "### SciPy\n",
@@ -530,7 +530,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fba8c60b",
+   "id": "1a03d8e4",
    "metadata": {
     "hide-output": false
    },
@@ -546,7 +546,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9e7bca63",
+   "id": "3c6899fc",
    "metadata": {},
    "source": [
     "SciPy includes many of the standard routines used in\n",
@@ -566,7 +566,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "915e117e",
+   "id": "37f7765f",
    "metadata": {},
    "source": [
     "### Graphics\n",
@@ -612,7 +612,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c35f44b",
+   "id": "01f15b6c",
    "metadata": {},
    "source": [
     "### Networks and Graphs\n",
@@ -648,7 +648,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1af366c4",
+   "id": "39361038",
    "metadata": {
     "hide-output": false
    },
@@ -683,7 +683,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5c2de5d1",
+   "id": "7ab0d044",
    "metadata": {},
    "source": [
     "### Other Scientific Libraries\n",
@@ -718,7 +718,7 @@
   }
  ],
  "metadata": {
-  "date": 1729158861.4619565,
+  "date": 1730693314.173783,
   "filename": "about_py.md",
   "kernelspec": {
    "display_name": "Python",