deploy: 65e3b70

Author: mmcky

_notebooks/about_py.ipynb

@@ -2,7 +2,7 @@
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    "source": [
     "\n",
@@ -19,7 +19,7 @@
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   {
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    "source": [
     "# About These Lectures\n",
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "markdown",
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    "source": [
     "## Overview\n",
@@ -55,7 +55,7 @@
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   {
    "cell_type": "markdown",
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+   "id": "39dcb6d0",
    "metadata": {},
    "source": [
     "### Can’t I Just Use ChatGPT?\n",
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6f33e126",
+   "id": "414660c1",
    "metadata": {},
    "source": [
     "### Isn’t MATLAB Better?\n",
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
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    "source": [
     "## What’s Python?\n",
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50998d5f",
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    "metadata": {},
    "source": [
     "### Common Uses\n",
@@ -146,7 +146,7 @@
   },
   {
    "cell_type": "markdown",
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    "metadata": {},
    "source": [
     "### Relative Popularity\n",
@@ -171,7 +171,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "2a4e1225",
    "metadata": {},
    "source": [
     "### Features\n",
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "783cafe3",
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    "metadata": {},
    "source": [
     "### Syntax and Design\n",
@@ -214,7 +214,7 @@
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   {
    "cell_type": "markdown",
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    "metadata": {
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@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9a7c4d52",
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    "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": "55fa263a",
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@@ -311,15 +311,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b7caf82",
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    "source": [
     "The simplicity of Python and its neat design are a big factor in its popularity."
    ]
   },
   {
    "cell_type": "markdown",
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    "metadata": {},
    "source": [
     "### The AI Connection\n",
@@ -346,7 +346,7 @@
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   {
    "cell_type": "markdown",
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    "source": [
     "## Scientific Programming with Python\n",
@@ -375,7 +375,7 @@
   },
   {
    "cell_type": "markdown",
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    "source": [
     "### NumPy\n",
@@ -392,7 +392,7 @@
   {
    "cell_type": "code",
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@@ -404,7 +404,7 @@
   },
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    "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": "c5d2e7d2",
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   },
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    "source": [
     "Now let’s transform this array by applying functions to it."
@@ -445,7 +445,7 @@
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-   "id": "aed0d2a1",
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   },
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    "source": [
     "Now we can easily take the inner product of `b` and `c`."
@@ -466,7 +466,7 @@
   {
    "cell_type": "code",
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@@ -477,7 +477,7 @@
   },
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    "source": [
     "We can also do many other tasks, like\n",
@@ -492,7 +492,7 @@
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   {
    "cell_type": "markdown",
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    "source": [
     "### NumPy Alternatives\n",
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   {
    "cell_type": "markdown",
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    "source": [
     "### SciPy\n",
@@ -530,7 +530,7 @@
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   },
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     "SciPy includes many of the standard routines used in\n",
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   {
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    "source": [
     "### Graphics\n",
@@ -612,7 +612,7 @@
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   {
    "cell_type": "markdown",
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    "source": [
     "### Networks and Graphs\n",
@@ -648,7 +648,7 @@
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@@ -683,7 +683,7 @@
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    "source": [
     "### Other Scientific Libraries\n",
@@ -718,7 +718,7 @@
   }
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   "filename": "about_py.md",
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