full rebuild with analytics

nickeubank · Nov 26, 2024 · 78fdda0 · 78fdda0
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diff --git a/_build/.doctrees/environment.pickle b/_build/.doctrees/environment.pickle
diff --git a/_build/jupyter_execute/ids720_specific/exercises/Discussion_vars_v_objects.ipynb b/_build/jupyter_execute/ids720_specific/exercises/Discussion_vars_v_objects.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "a7c1bf53",
+   "id": "f6e0f1b0",
    "metadata": {},
    "source": [
     "# Return Values and Object Mutations\n",
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "a54eb51b",
+   "id": "445a8b7d",
    "metadata": {},
    "outputs": [
     {
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8598964e",
+   "id": "349f1b7c",
    "metadata": {},
    "source": [
     "We know that the variable `x` will end up pointing at the new list (`[1, 2, 3, 4]`). That's because a function or method that creates a new object \"returns\" that object. \n",
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "f05af9b3",
+   "id": "3cd63e56",
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "ce947c7a",
+   "id": "30190a3d",
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2daac26b",
+   "id": "18e5dbb6",
    "metadata": {},
    "source": [
     "But this can lead to an easy problem: if we mutate our list using function or method that mutates the list in-place, *and* re-assign the result of that method call to our original variable, we'll actually lose track of our original list!"
@@ -102,7 +102,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "454c8188",
+   "id": "60afb784",
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30fe66c6",
+   "id": "37b6bdc7",
    "metadata": {},
    "source": [
     "# Tuples\n",

diff --git a/_build/jupyter_execute/ids720_specific/exercises/Exercise_debugger.ipynb b/_build/jupyter_execute/ids720_specific/exercises/Exercise_debugger.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d0dd8f38",
+   "id": "f49dd5ab",
    "metadata": {},
    "source": [
     "# Practicing with the VS Code Debugger\n",
@@ -28,7 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "e7da563a",
+   "id": "b50fb2ef",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18ca95d0",
+   "id": "a6510a4f",
    "metadata": {},
    "source": [
     "I can shorten it to my name by subsetting:"
@@ -46,7 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "dbef5135",
+   "id": "b9792d4d",
    "metadata": {},
    "outputs": [
     {
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b24827f",
+   "id": "bdcebce7",
    "metadata": {},
    "source": [
     "## Exercise 2:\n",
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "467e5df9",
+   "id": "9a08b29b",
    "metadata": {},
    "source": [
     "## Exercise 3: \n",
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "421ba2e8",
+   "id": "cd5db065",
    "metadata": {},
    "source": [
     "## Exercise 4:\n",
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eafd2ae9",
+   "id": "aa201ceb",
    "metadata": {},
    "source": [
     "## Exercise 5:\n",
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc992e15",
+   "id": "9483a3d0",
    "metadata": {},
    "source": [
     "## Exercise 6: \n",
@@ -116,7 +116,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c9cb329e",
+   "id": "6c2bddd2",
    "metadata": {},
    "source": [
     "## Exercise 7:\n",

diff --git a/_build/jupyter_execute/ids720_specific/exercises/Exercise_plotting_part3.ipynb b/_build/jupyter_execute/ids720_specific/exercises/Exercise_plotting_part3.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "cc3d5fa5",
+   "id": "d214260d",
    "metadata": {},
    "source": [
     "# Build Your Own Chart\n",

diff --git a/_build/jupyter_execute/ids720_specific/exercises/code_drawing_template.ipynb b/_build/jupyter_execute/ids720_specific/exercises/code_drawing_template.ipynb
@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "22d7a850",
+   "id": "7724d8d8",
    "metadata": {},
    "source": [
     "# Code-Drawing Template"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "403027a0",
+   "id": "ebfba7df",
    "metadata": {},
    "source": [
     "![code frame](images/code_frame.png)\n",
@@ -30,7 +30,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "41a04f18",
+   "id": "6398b3ea",
    "metadata": {},
    "outputs": [],
    "source": []

diff --git a/..._execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_augmented_commandline.ipynb b/..._execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_augmented_commandline.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "de7210d2",
+   "id": "2a433e1e",
    "metadata": {},
    "source": [
     "# Set Up an Augmented Command Line\n",

diff --git a/_build/jupyter_execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_conda_envs.ipynb b/_build/jupyter_execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_conda_envs.ipynb
@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "e1d1ee02",
+   "id": "07d9ebc0",
    "metadata": {},
    "source": [
     "# Installing Geopandas"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5aa9f94c",
+   "id": "438a85e0",
    "metadata": {},
    "source": [
     "Early in the semester, I told you that conda was generally preferred over pip by data scientists because it could install more than just python packages? Well here's an example of a place that pays off big!\n",

diff --git a/_build/jupyter_execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_vscode.ipynb b/_build/jupyter_execute/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_vscode.ipynb
@@ -2,23 +2,23 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "24b204af",
+   "id": "450b92a7",
    "metadata": {},
    "source": [
     "# Setting Up Visual Studio Code"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3493252b",
+   "id": "a5c0bb5a",
    "metadata": {},
    "source": [
     "> This is written assuming you've already installed and setup Python using miniforge [as instructed here](setup_python.ipynb). If you haven't, please go do that now!"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "f8e6d5f4",
+   "id": "3f45b2fa",
    "metadata": {},
    "source": [
     "As noted in our previous reading, here in Duke MIDS we're converging on using VS Code in our courses as our \"preferred\" tool for editing and running code. That's not because we necessarily because we think it's \"the objectively best editor\"—what editor is best for an individual depends a lot on their own background, programming style, and work flow!— but rather because we think it's a good fit for most students. Moreover, by all supporting the same editor, we can help you get *really good* with VS Code—not everyone will agree VS Code is the best editor, but I think all data scientists will agree that getting really good with *an* editor is an important skill!\n",
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ee5ef74e",
+   "id": "ea1f8493",
    "metadata": {},
    "source": [
     "## Set terminal.integrated.inheritEnv to False in VS Code\n",
@@ -188,7 +188,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "33371f19",
+   "id": "f8fef2f5",
    "metadata": {},
    "source": [
     "## Run Some Python Code!\n",