diff --git a/content/curriculum-notebooks/EnglishLanguageArts/GreatGatsbyDataScience/great-gatsby-data-science.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/GreatGatsbyDataScience/great-gatsby-data-science.ipynb
index 7329825..10977b9 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/GreatGatsbyDataScience/great-gatsby-data-science.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/GreatGatsbyDataScience/great-gatsby-data-science.ipynb
@@ -30,7 +30,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly requests nbformat spacy\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/IntroductionToPoetry/poetry-introduction.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/IntroductionToPoetry/poetry-introduction.ipynb
index b57ae86..cc7a997 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/IntroductionToPoetry/poetry-introduction.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/IntroductionToPoetry/poetry-introduction.ipynb
@@ -32,7 +32,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat requests nltk\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "word = 'testing'\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/PartsOfSpeech/parts-of-speech.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/PartsOfSpeech/parts-of-speech.ipynb
index 3451b7b..3f0ad15 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/PartsOfSpeech/parts-of-speech.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/PartsOfSpeech/parts-of-speech.ipynb
@@ -43,7 +43,7 @@
    },
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat requests spacy\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "import requests\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/ReadabilityStatistics/readability-statistics.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/ReadabilityStatistics/readability-statistics.ipynb
index e2966ac..a853672 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/ReadabilityStatistics/readability-statistics.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/ReadabilityStatistics/readability-statistics.ipynb
@@ -26,7 +26,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly textstat nbformat requests bs4\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "import textstat\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/ShakespeareStatistics/shakespeare-and-statistics.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/ShakespeareStatistics/shakespeare-and-statistics.ipynb
index 49e6f15..c1245ee 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/ShakespeareStatistics/shakespeare-and-statistics.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/ShakespeareStatistics/shakespeare-and-statistics.ipynb
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat requests nltk\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "text_link = 'http://www.gutenberg.org/files/1533/1533-0.txt'\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/StoryPlotGenerator/story-plot-generator.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/StoryPlotGenerator/story-plot-generator.ipynb
index 4f0452f..240b3fc 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/StoryPlotGenerator/story-plot-generator.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/StoryPlotGenerator/story-plot-generator.ipynb
@@ -28,7 +28,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http nbformat\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "\n",
diff --git a/content/curriculum-notebooks/EnglishLanguageArts/WordClouds/word-clouds.ipynb b/content/curriculum-notebooks/EnglishLanguageArts/WordClouds/word-clouds.ipynb
index d909935..1c3ae4b 100644
--- a/content/curriculum-notebooks/EnglishLanguageArts/WordClouds/word-clouds.ipynb
+++ b/content/curriculum-notebooks/EnglishLanguageArts/WordClouds/word-clouds.ipynb
@@ -28,7 +28,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat requests shutil wordcloud\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "text_url = 'http://www.gutenberg.org/files/1661/1661-0.txt'\n",
diff --git a/content/curriculum-notebooks/Health/AsthmaRates/asthma-rates.ipynb b/content/curriculum-notebooks/Health/AsthmaRates/asthma-rates.ipynb
index 167b1d0..c4940d1 100644
--- a/content/curriculum-notebooks/Health/AsthmaRates/asthma-rates.ipynb
+++ b/content/curriculum-notebooks/Health/AsthmaRates/asthma-rates.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import pandas as pd\n",
     "dfi = pd.read_csv('https://raw.githubusercontent.com/callysto/data-files/main/Health/AsthmaRates/asthma-alberta-2004-2019.csv')\n",
     "dfi.describe()"
diff --git a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-1.ipynb b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-1.ipynb
index 797411d..1460e29 100644
--- a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-1.ipynb
+++ b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-1.ipynb
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Health/CALM/CALM-moving-out-1.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# CALM - Moving Out Project\n","\n","📘 Imagine that you are in your early twenties, and it is time to move out of your family home. You work 40 hours per week and your wage is $15.00 per hour (gross income, meaning before deductions).\n","\n","You will be required to calculate your net income and manage financial resources effectively.\n","\n","You may choose to live with a roommate. If you choose to live with a roommate and share rent, you must each complete and hand in a separate assignment.\n","\n","You will use the internet for all the information required to complete this project. However, you may want to also refer to flyers to find prices for food and household items.\n","\n","### Technology\n","This project uses Jupyter notebooks, which are documents that contain formatted text and computer code (Python code in this case). This will allow you to do calculations much easier, and without a calculator.\n","\n","The text and code blocks are called \"cells\", this is a *Markdown* (text) cell.\n","\n","Cells that contain a pencil emoji (✏️) are ones you should edit. Cells with a book emoji (e.g. 📘) are for you to read (or `Run`) without editing."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘This is a code cell.\n","# Run the code by selecting this cell then clicking on the  ►Run  button in the toolbar at the top.\n","\n","2 + 3"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘This is another code cell for you to run.\n","# Every line that starts with a  #  character is ignored when the computer runs the code\n","\n","firstNumber = 2\n","secondNumber = 3\n","product = firstNumber * secondNumber\n","print(product)"]},{"cell_type":"markdown","metadata":{},"source":["📘 That's the basics of a Jupyter notebook, if you want to learn more and Jupyter [click here](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html).\n","\n","For now, though, let's get on with your CALM assignment."]},{"cell_type":"markdown","metadata":{},"source":["📘 Run the cell below to import libraries required for the notebook. \n","\n","Python libraries for data science are like ready-made tools in a toolbox. They contain pre-written code that make it possible to perform tasks easier."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["%pip install -r requirements.txt\n","import pyodide_http\n","pyodide_http.patch_all()\n","\n","import numpy as np\n","from functions import *\n","\n","print(\"Libraries imported.\")"]},{"cell_type":"markdown","metadata":{},"source":["## Part 1 - Personal Profile\n","\n","📘 Complete these questions based on what your hope of plan to do with your life. Once you have answered all the questions in the code cell below, run the cell using the `Run` button on the tool bar, and it will store your answers in a text file."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["Name = create_widget('Text','Your Name:','Enter your name',0,0,0)\n","Moveout = create_widget('IntSlider','I will move out at the age of:',16,0,30,1)\n","Education_path = create_widget('Text','My Education Path:','Enter what you want to study',0,0,0)\n","Occupation = create_widget('Text','My Occupation:','Enter what you want to do for work',0,0,0)\n","Salary = create_widget('IntRangeSlider','My estimated monthly Salary:',[2000,5000],0,20000,1000)\n","Married = create_widget('Checkbox','I want to marry in my twenties',False,0,0,0)\n","Children = create_widget('IntSlider','# of children I want by the age of 30:',0,0,10,1)\n","House = create_widget('Checkbox','I want to buy a house in my twenties',False,0,0,0)\n","Location = create_widget('Text','I will be living near/in:','Enter the city/town you want to live in',0,0,0)\n","Vehicle = create_widget('Text','Vehicle I want to drive:','Enter the vehicle you want to own',0,0,0)\n","Possessions = create_widget('TextArea','Things I will also own','My Possessions',0,0,0)\n","Travel = create_widget('Checkbox','I want to travel in my twenties',False,0,0,0)\n","Destinations = create_widget('TextArea','Places I want to travel to','Travel Destinations',0,0,0)\n","Bucket_list = create_widget('TextArea','Things I want to do in my twenties','Bucket list',0,0,0)\n","\n","box = widgets.VBox([Name,Moveout,Education_path,Occupation,Salary,Married,Children,House,Location,Vehicle,Possessions,Travel,Destinations,Bucket_list])\n","\n","display(box)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["to_change = {5:'',7:'',11:''}\n","\n","def rewrite_answers(w):\n","\n","    for x in to_change:\n","        to_change[x] = \"do not\" if w[x].value == False else \"do\"\n","    \n","widget = box.children\n","rewrite_answers(widget)\n","desired_salary = np.asarray(widget[4].value)\n","%store desired_salary\n","with open('moving_out_1.txt', 'a') as f:  \n","    f.truncate(0)\n","    f.write(\n","        f\"My name is {widget[0].value} and I expect to move out at the age of {widget[1].value}. \\nI want to study {widget[2].value} and have my job/occupation to be {widget[3].value}. My expected salary for this job would be in the following range: {widget[4].value} \\nIn my 20's I {to_change[5]} want to be married and I {to_change[7]} want to own a house. By the age of 30 I want to have {widget[6].value} children. \\nI want to live near {widget[8].value} and drive a {widget[9].value}. \\n\\nOther things I want to own is: \\n{widget[10].value}\\n\\nI {to_change[11]} want to travel in my 20's and these are some of the places I would like to go: \\n{widget[12].value} \\n\\nFinally, here are some of the things that I have on my bucket list: \\n{widget[13].value} \"\n","    )"]},{"cell_type":"markdown","metadata":{},"source":["📘`Run` the next cell to check that your answers have been stored in a file."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘 Run this cell to check that your file contains your answers.\n","# If you get an error, make sure you have run the code cell above.\n","with open('moving_out_1.txt', 'r') as file:\n","    print(file.read())"]},{"cell_type":"markdown","metadata":{},"source":["📘You have now completed this section. Proceed to [section 2](./CALM-moving-out-2.ipynb)"]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"kernelspec":{"display_name":"Python 3","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":"3.10.8"}},"nbformat":4,"nbformat_minor":2}
+{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Health/CALM/CALM-moving-out-1.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# CALM - Moving Out Project\n","\n","📘 Imagine that you are in your early twenties, and it is time to move out of your family home. You work 40 hours per week and your wage is $15.00 per hour (gross income, meaning before deductions).\n","\n","You will be required to calculate your net income and manage financial resources effectively.\n","\n","You may choose to live with a roommate. If you choose to live with a roommate and share rent, you must each complete and hand in a separate assignment.\n","\n","You will use the internet for all the information required to complete this project. However, you may want to also refer to flyers to find prices for food and household items.\n","\n","### Technology\n","This project uses Jupyter notebooks, which are documents that contain formatted text and computer code (Python code in this case). This will allow you to do calculations much easier, and without a calculator.\n","\n","The text and code blocks are called \"cells\", this is a *Markdown* (text) cell.\n","\n","Cells that contain a pencil emoji (✏️) are ones you should edit. Cells with a book emoji (e.g. 📘) are for you to read (or `Run`) without editing."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘This is a code cell.\n","# Run the code by selecting this cell then clicking on the  ►Run  button in the toolbar at the top.\n","\n","2 + 3"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘This is another code cell for you to run.\n","# Every line that starts with a  #  character is ignored when the computer runs the code\n","\n","firstNumber = 2\n","secondNumber = 3\n","product = firstNumber * secondNumber\n","print(product)"]},{"cell_type":"markdown","metadata":{},"source":["📘 That's the basics of a Jupyter notebook, if you want to learn more and Jupyter [click here](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html).\n","\n","For now, though, let's get on with your CALM assignment."]},{"cell_type":"markdown","metadata":{},"source":["📘 Run the cell below to import libraries required for the notebook. \n","\n","Python libraries for data science are like ready-made tools in a toolbox. They contain pre-written code that make it possible to perform tasks easier."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["%pip install -q pyodide_http plotly ipywidgets nbformat ipydatagrid bs4 requests\n","import pyodide_http\n","pyodide_http.patch_all()\n","\n","import numpy as np\n","from functions import *\n","\n","print(\"Libraries imported.\")"]},{"cell_type":"markdown","metadata":{},"source":["## Part 1 - Personal Profile\n","\n","📘 Complete these questions based on what your hope of plan to do with your life. Once you have answered all the questions in the code cell below, run the cell using the `Run` button on the tool bar, and it will store your answers in a text file."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["Name = create_widget('Text','Your Name:','Enter your name',0,0,0)\n","Moveout = create_widget('IntSlider','I will move out at the age of:',16,0,30,1)\n","Education_path = create_widget('Text','My Education Path:','Enter what you want to study',0,0,0)\n","Occupation = create_widget('Text','My Occupation:','Enter what you want to do for work',0,0,0)\n","Salary = create_widget('IntRangeSlider','My estimated monthly Salary:',[2000,5000],0,20000,1000)\n","Married = create_widget('Checkbox','I want to marry in my twenties',False,0,0,0)\n","Children = create_widget('IntSlider','# of children I want by the age of 30:',0,0,10,1)\n","House = create_widget('Checkbox','I want to buy a house in my twenties',False,0,0,0)\n","Location = create_widget('Text','I will be living near/in:','Enter the city/town you want to live in',0,0,0)\n","Vehicle = create_widget('Text','Vehicle I want to drive:','Enter the vehicle you want to own',0,0,0)\n","Possessions = create_widget('TextArea','Things I will also own','My Possessions',0,0,0)\n","Travel = create_widget('Checkbox','I want to travel in my twenties',False,0,0,0)\n","Destinations = create_widget('TextArea','Places I want to travel to','Travel Destinations',0,0,0)\n","Bucket_list = create_widget('TextArea','Things I want to do in my twenties','Bucket list',0,0,0)\n","\n","box = widgets.VBox([Name,Moveout,Education_path,Occupation,Salary,Married,Children,House,Location,Vehicle,Possessions,Travel,Destinations,Bucket_list])\n","\n","display(box)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["to_change = {5:'',7:'',11:''}\n","\n","def rewrite_answers(w):\n","\n","    for x in to_change:\n","        to_change[x] = \"do not\" if w[x].value == False else \"do\"\n","    \n","widget = box.children\n","rewrite_answers(widget)\n","desired_salary = np.asarray(widget[4].value)\n","%store desired_salary\n","with open('moving_out_1.txt', 'a') as f:  \n","    f.truncate(0)\n","    f.write(\n","        f\"My name is {widget[0].value} and I expect to move out at the age of {widget[1].value}. \\nI want to study {widget[2].value} and have my job/occupation to be {widget[3].value}. My expected salary for this job would be in the following range: {widget[4].value} \\nIn my 20's I {to_change[5]} want to be married and I {to_change[7]} want to own a house. By the age of 30 I want to have {widget[6].value} children. \\nI want to live near {widget[8].value} and drive a {widget[9].value}. \\n\\nOther things I want to own is: \\n{widget[10].value}\\n\\nI {to_change[11]} want to travel in my 20's and these are some of the places I would like to go: \\n{widget[12].value} \\n\\nFinally, here are some of the things that I have on my bucket list: \\n{widget[13].value} \"\n","    )"]},{"cell_type":"markdown","metadata":{},"source":["📘`Run` the next cell to check that your answers have been stored in a file."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#📘 Run this cell to check that your file contains your answers.\n","# If you get an error, make sure you have run the code cell above.\n","with open('moving_out_1.txt', 'r') as file:\n","    print(file.read())"]},{"cell_type":"markdown","metadata":{},"source":["📘You have now completed this section. Proceed to [section 2](./CALM-moving-out-2.ipynb)"]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"kernelspec":{"display_name":"Python 3","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":"3.10.8"}},"nbformat":4,"nbformat_minor":2}
diff --git a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-2.ipynb b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-2.ipynb
index 4867e3e..54a231c 100644
--- a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-2.ipynb
+++ b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-2.ipynb
@@ -61,6 +61,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "%store -r\n",
     "import warnings\n",
     "warnings.filterwarnings(\"ignore\")\n",
diff --git a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-4.ipynb b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-4.ipynb
index a9d978e..821bd75 100644
--- a/content/curriculum-notebooks/Health/CALM/CALM-moving-out-4.ipynb
+++ b/content/curriculum-notebooks/Health/CALM/CALM-moving-out-4.ipynb
@@ -40,6 +40,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "from functions import *\n",
     "import plotly.express as px\n",
     "\n",
diff --git a/content/curriculum-notebooks/Health/SevenMinuteWorkout/seven-minute-workout.ipynb b/content/curriculum-notebooks/Health/SevenMinuteWorkout/seven-minute-workout.ipynb
index 3ce4419..40f9bb6 100644
--- a/content/curriculum-notebooks/Health/SevenMinuteWorkout/seven-minute-workout.ipynb
+++ b/content/curriculum-notebooks/Health/SevenMinuteWorkout/seven-minute-workout.ipynb
@@ -45,7 +45,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat gtts\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
     "\n",
diff --git a/content/curriculum-notebooks/Languages/FrenchVerbCodingConjugation/french-verb-coding.ipynb b/content/curriculum-notebooks/Languages/FrenchVerbCodingConjugation/french-verb-coding.ipynb
index 6401d29..35d56d9 100644
--- a/content/curriculum-notebooks/Languages/FrenchVerbCodingConjugation/french-verb-coding.ipynb
+++ b/content/curriculum-notebooks/Languages/FrenchVerbCodingConjugation/french-verb-coding.ipynb
@@ -60,6 +60,10 @@
    },
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "#table for personal pronouns using Plotly\n",
     "french = ['je','tu','elle, il, on','nous','vous','elles, ils']\n",
     "english = ['I','you','she, he, one','we','you (plural or formal)','they']\n",
diff --git a/content/curriculum-notebooks/Languages/MostUsedEnglishWords/most-used-english-words.ipynb b/content/curriculum-notebooks/Languages/MostUsedEnglishWords/most-used-english-words.ipynb
index 934c56b..bcbc14c 100644
--- a/content/curriculum-notebooks/Languages/MostUsedEnglishWords/most-used-english-words.ipynb
+++ b/content/curriculum-notebooks/Languages/MostUsedEnglishWords/most-used-english-words.ipynb
@@ -32,6 +32,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets nltk\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "import pandas as pd\n",
     "fry = pd.read_csv('https://raw.githubusercontent.com/callysto/data-files/main/Languages/MostUsedEnglishWords/fry-sight-words.csv')\n",
     "ngrams = pd.read_table('https://raw.githubusercontent.com/callysto/data-files/main/Languages/MostUsedEnglishWords/frequency-alpha-gcide.txt', delim_whitespace=True)\n",
diff --git a/content/curriculum-notebooks/Languages/Pronunciation/pronunciation.ipynb b/content/curriculum-notebooks/Languages/Pronunciation/pronunciation.ipynb
index a1318e3..32d36fb 100644
--- a/content/curriculum-notebooks/Languages/Pronunciation/pronunciation.ipynb
+++ b/content/curriculum-notebooks/Languages/Pronunciation/pronunciation.ipynb
@@ -27,6 +27,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat googletrans gtts\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "translate_this = 'Hello, how are you today?'\n",
     "source = 'en'\n",
     "destination = 'fr'\n",
diff --git a/content/curriculum-notebooks/Mathematics/AnalyzingRadicalFunctions/analyzing-radical-functions.ipynb b/content/curriculum-notebooks/Mathematics/AnalyzingRadicalFunctions/analyzing-radical-functions.ipynb
index 53ac85f..d48e3a7 100644
--- a/content/curriculum-notebooks/Mathematics/AnalyzingRadicalFunctions/analyzing-radical-functions.ipynb
+++ b/content/curriculum-notebooks/Mathematics/AnalyzingRadicalFunctions/analyzing-radical-functions.ipynb
@@ -36,6 +36,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "from IPython.display import IFrame\n",
     "IFrame(src='https://www.desmos.com/calculator/nh9wc0y8s9', width=800, height=500)"
    ]
diff --git a/content/curriculum-notebooks/Mathematics/CentralTendency/central-tendency.ipynb b/content/curriculum-notebooks/Mathematics/CentralTendency/central-tendency.ipynb
index 00b5052..9111683 100644
--- a/content/curriculum-notebooks/Mathematics/CentralTendency/central-tendency.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CentralTendency/central-tendency.ipynb
@@ -43,6 +43,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "walking_times = [10, 15, 12, 20, 8]\n",
     "minimum = min(walking_times)\n",
     "maximum = max(walking_times)\n",
diff --git a/content/curriculum-notebooks/Mathematics/CentralTendencyAndOutlier/outliers-and-central-tendency.ipynb b/content/curriculum-notebooks/Mathematics/CentralTendencyAndOutlier/outliers-and-central-tendency.ipynb
index fcc1fb3..c76fdd4 100644
--- a/content/curriculum-notebooks/Mathematics/CentralTendencyAndOutlier/outliers-and-central-tendency.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CentralTendencyAndOutlier/outliers-and-central-tendency.ipynb
@@ -46,6 +46,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "dataset = [26, 23, 27, 25, 28, 29, 24, 99]\n",
     "from statistics import mean, median, multimode\n",
     "print('mean:', mean(dataset))\n",
diff --git a/content/curriculum-notebooks/Mathematics/CoastSalishBaskets/coast-salish-baskets.ipynb b/content/curriculum-notebooks/Mathematics/CoastSalishBaskets/coast-salish-baskets.ipynb
index 8c976bf..7c6ad8e 100644
--- a/content/curriculum-notebooks/Mathematics/CoastSalishBaskets/coast-salish-baskets.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CoastSalishBaskets/coast-salish-baskets.ipynb
@@ -15,6 +15,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "from IPython.display import HTML\n",
     "\n",
     "HTML('''<script>\n",
diff --git a/content/curriculum-notebooks/Mathematics/CompositionsOfFunctions/compositions-of-functions.ipynb b/content/curriculum-notebooks/Mathematics/CompositionsOfFunctions/compositions-of-functions.ipynb
index 5019a82..d42f8e9 100644
--- a/content/curriculum-notebooks/Mathematics/CompositionsOfFunctions/compositions-of-functions.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CompositionsOfFunctions/compositions-of-functions.ipynb
@@ -62,9 +62,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -r requirements.txt\n",
+    "%pip install -q pyodide_http plotly nbformat\n",
     "import pyodide_http\n",
     "pyodide_http.patch_all()\n",
+    "\n",
     "import plotly.express as px\n",
     "import numpy as np\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/CountingTriangles/counting-triangles.ipynb b/content/curriculum-notebooks/Mathematics/CountingTriangles/counting-triangles.ipynb
index 14ffe23..ab2721f 100644
--- a/content/curriculum-notebooks/Mathematics/CountingTriangles/counting-triangles.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CountingTriangles/counting-triangles.ipynb
@@ -51,6 +51,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import pandas as pd\n",
     "data = {'Point':['A','B','C','D','E','F','G'],'x':[0,2,2,0,0,2,1],'y':[2,2,0,0,1,1,1]}\n",
     "df = pd.DataFrame(data)\n",
diff --git a/content/curriculum-notebooks/Mathematics/CovidLogarithmic/covid-19-log-scale.ipynb b/content/curriculum-notebooks/Mathematics/CovidLogarithmic/covid-19-log-scale.ipynb
index a0ba14b..9294416 100644
--- a/content/curriculum-notebooks/Mathematics/CovidLogarithmic/covid-19-log-scale.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CovidLogarithmic/covid-19-log-scale.ipynb
@@ -38,6 +38,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import plotly.express as px\n",
     "x = range(1, 25)\n",
     "y = [10 ** i for i in x]\n",
diff --git a/content/curriculum-notebooks/Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb b/content/curriculum-notebooks/Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb
index 99e8ae0..0aadbc0 100644
--- a/content/curriculum-notebooks/Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# Creating, Labelling, and Interpreting Line Graphs\n","\n","Line graphs are useful for visualizing (seeing) patterns in data. [Wikipedia](https://en.wikipedia.org/wiki/Line_chart) defines them as \"a type of chart which displays information as a series of data points called 'markers' connected by straight line segments.\"\n","\n","We can make line graphs using Python using code libraries such as [Plotly](https://plotly.com/python). A library is code that someone else has written that you can import into your project.\n","\n","We need to import the [Plotly Express](https://plotly.com/python/plotly-express) part of the library, tell it what data to graph, and maybe add some labels.\n","\n","Select the cell below this one then click the `▶Run` button on the toolbar. You can also do this to run code in other cells in this notebook."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["import plotly.express as px\n","x = [1, 2, 3, 4]\n","y = [5, 6, 7, 8]\n","px.scatter(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["On a graph, the horizontal axis is the *x*-axis, and the vertical axis is the *y*-axis. We created a list called `x` for the *x* values and a list called `y` for the *y* values. `px.scatter(x, y)` then created and displayed the graph.\n","\n","We can also create a line graph from the same data using `px.line()` instead."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["px.line(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["Next try making your own graph using the code below and the data from this chart:\n","\n","|x|y|\n","|-|-|\n","|1|1|\n","|2|4|\n","|3|9|\n","|4|16|\n","\n","Remember to include commas between the numbers in each list."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["# Lines that begin with a # symbol will be ignored by the computer. Cells that contain a ✏️ are ones you should edit.\n","x = []\n","y = []\n","px.scatter(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["Now let's try some real-world data, the [population of Canada over time](https://en.wikipedia.org/wiki/Population_of_Canada#Canada_as_a_whole_since_confederation). Population will go on the *y*-axis and time on the *x*-axis. Add the data from this table to the next code cell then `▶Run` the cell.\n","\n","|Year|Population of Canada|\n","|-|-|\n","|1867|3463000|\n","|1892|4883000|\n","|1917|8060000|\n","|1942|11654000|\n","|1967|20500000|\n","|1992|28377000|"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#✏️\n","population = []\n","year = []\n","px.line(x=year, y=population)"]},{"cell_type":"markdown","metadata":{},"source":["We can see that the line gets steeper, meaning that the rate of population growth was increasing.\n","\n","Now let's add some labels to that graph so other people will know what we are displaying.\n","\n","In the code cell below, change the title to `'Population of Canada Over Time'`"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["populations = [3463000, 4883000, 8060000, 11654000, 20500000, 28377000]\n","years = [1867, 1892, 1917, 1942, 1967, 1992]\n","px.line(x=years, y=populations, title='population')"]},{"cell_type":"markdown","metadata":{},"source":["Now it's your turn to make a line graph of some data. Graph the number of hours of daylight in Edmonton (or your closest city) per day in December using data from https://www.nrc-cnrc.gc.ca/eng/services/sunrise/advanced.html. Copy and paste each of the values into the `daylight_hours` list, with commas between the numbers.\n","\n","Since there are 31 days in December, we will have the code make up a `dates` list."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#✏️ Type or paste in the correct daylight hours values from https://www.nrc-cnrc.gc.ca/eng/services/sunrise/advanced.html\n","\n","daylight_hours = []\n","\n","dates = list(range(len(daylight_hours)))\n","px.line(x=dates, y=daylight_hours, title='Daylight Hours in Edmonton per Day in December').update_xaxes(title='Day').update_yaxes(title='Hours of Daylight')\n"]},{"cell_type":"markdown","metadata":{},"source":["What observations can you make about how the hours of daylight per day changes throughout December?\n","\n","*Double-click on the next cell to edit it and add your answer.*"]},{"cell_type":"markdown","metadata":{},"source":["✏️I observe that "]},{"cell_type":"markdown","metadata":{},"source":["What other data might you want to graph using a line graph? Check out what data are available on Open Data sites such as https://open.canada.ca/en/open-data or https://open.alberta.ca/opendata."]},{"cell_type":"markdown","metadata":{},"source":["✏️I would like to create a graph of "]},{"cell_type":"markdown","metadata":{},"source":["If you find an interesting data set, create your own line graph below."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["x = []\n","y = []\n","\n","px.line(x=x, y=y, title='title').update_xaxes(title='x').update_yaxes(title='y')"]},{"cell_type":"markdown","metadata":{},"source":["## Interpreting Graphs"]},{"cell_type":"markdown","metadata":{},"source":["Here is a graph of average daytime high temperature in Edmonton, Alberta by month (using data from [NOAA](https://www.ncdc.noaa.gov/)). "]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["temperatures = [-7, -3, 2, 11, 18, 21, 23, 22, 17, 11, 1, -5]\n","months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n","\n","px.line(x=months, y=temperatures, title='Average Temperature in Edmonton by Month').update_xaxes(title='Month').update_yaxes(title='Temperature (°C)')"]},{"cell_type":"markdown","metadata":{},"source":["Based on the graph above, which month seems to be the warmest?"]},{"cell_type":"markdown","metadata":{},"source":["✏️The warmest month seems to be "]},{"cell_type":"markdown","metadata":{},"source":["Based on the graph, which month seems to be the coldest?"]},{"cell_type":"markdown","metadata":{},"source":["✏️The coldest month seems to be "]},{"cell_type":"markdown","metadata":{},"source":["Here's another graph with data for Edmonton, Alberta and Honolulu, Hawaii. For this one we are going to use [Plotly Graph Objects](https://plotly.com/python/graph-objects)."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["averageHighEdmonton = [-7, -3, 2, 11, 18, 21, 23, 22, 17, 11, 1, -5]\n","averageHighHonolulu = [27, 27, 28, 28, 29, 30, 31, 31, 31, 30, 29, 28]\n","months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n","\n","import plotly.graph_objects as go\n","fig = go.Figure()\n","fig.add_trace(go.Scatter(x=months,y=averageHighEdmonton, name='Edmonton'))\n","fig.add_trace(go.Scatter(x=months,y=averageHighHonolulu, name='Honolulu'))\n","fig.update_xaxes(title_text='Month')\n","fig.update_yaxes(title_text='Temperature (°C)')\n","fig.update_layout(title='Average High Temperatures in Edmonton and Honolulu')\n","fig.show()"]},{"cell_type":"markdown","metadata":{},"source":["What two differences do you notice between the two lines?"]},{"cell_type":"markdown","metadata":{},"source":["✏️\n","\n","1. \n","2. "]},{"cell_type":"markdown","metadata":{},"source":["What similarity do you notice between the lines?"]},{"cell_type":"markdown","metadata":{},"source":["✏️I notice that"]},{"cell_type":"markdown","metadata":{},"source":["How do you think this graph would look if we used data from Sydney, NSW, Australia?\n","\n","You can [search for this information](https://www.google.ca/search?&q=average+monthly+temperature+sydney+australia) to get both numbers and graphs."]},{"cell_type":"markdown","metadata":{},"source":["✏️I think that for Sydney, NSW, Australia "]},{"cell_type":"markdown","metadata":{},"source":["How do you think this graph would look if we used data from the North Pole?"]},{"cell_type":"markdown","metadata":{},"source":["✏️I think that for the North Pole "]},{"cell_type":"markdown","metadata":{},"source":["The World Health Organization has [published](https://www.cpeg-gcep.net/content/who-growth-charts-canada) growth charts of children in Canada for [boys](https://www.dietitians.ca/Downloads/Public/HFA-WFA_2-19_BOYS_EN.aspx) and [girls](https://www.dietitians.ca/Downloads/Public/HFA-WFA_2-19_GIRLS_EN.aspx). From the appropriate graph, figure out approximately which percentile you are in for your age and height."]},{"cell_type":"markdown","metadata":{},"source":["✏️I am in the"]},{"cell_type":"markdown","metadata":{},"source":["## Conclusion\n","\n","In this notebook we created and labelled line graphs using [Plotly Express](https://plotly.com/python/plotly-express) and [Plotly Graph Objects](https://plotly.com/python/graph-objects) and interpreted line graphs."]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"interpreter":{"hash":"d1ca6d17674200220921376aaeb3d36cffe15ecab2470a9a5e7a456cdbf61425"},"kernelspec":{"display_name":"Python 3.10.1 64-bit","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":"3.10.1"}},"nbformat":4,"nbformat_minor":2}
+{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Mathematics/CreateInterpretLineGraphs/create-label-and-interpret-line-graphs.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# Creating, Labelling, and Interpreting Line Graphs\n","\n","Line graphs are useful for visualizing (seeing) patterns in data. [Wikipedia](https://en.wikipedia.org/wiki/Line_chart) defines them as \"a type of chart which displays information as a series of data points called 'markers' connected by straight line segments.\"\n","\n","We can make line graphs using Python using code libraries such as [Plotly](https://plotly.com/python). A library is code that someone else has written that you can import into your project.\n","\n","We need to import the [Plotly Express](https://plotly.com/python/plotly-express) part of the library, tell it what data to graph, and maybe add some labels.\n","\n","Select the cell below this one then click the `▶Run` button on the toolbar. You can also do this to run code in other cells in this notebook."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["%pip install -q pyodide_http plotly nbformat\n","import pyodide_http\n","pyodide_http.patch_all()\n","import plotly.express as px\n","x = [1, 2, 3, 4]\n","y = [5, 6, 7, 8]\n","px.scatter(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["On a graph, the horizontal axis is the *x*-axis, and the vertical axis is the *y*-axis. We created a list called `x` for the *x* values and a list called `y` for the *y* values. `px.scatter(x, y)` then created and displayed the graph.\n","\n","We can also create a line graph from the same data using `px.line()` instead."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["px.line(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["Next try making your own graph using the code below and the data from this chart:\n","\n","|x|y|\n","|-|-|\n","|1|1|\n","|2|4|\n","|3|9|\n","|4|16|\n","\n","Remember to include commas between the numbers in each list."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["# Lines that begin with a # symbol will be ignored by the computer. Cells that contain a ✏️ are ones you should edit.\n","x = []\n","y = []\n","px.scatter(x=x, y=y)"]},{"cell_type":"markdown","metadata":{},"source":["Now let's try some real-world data, the [population of Canada over time](https://en.wikipedia.org/wiki/Population_of_Canada#Canada_as_a_whole_since_confederation). Population will go on the *y*-axis and time on the *x*-axis. Add the data from this table to the next code cell then `▶Run` the cell.\n","\n","|Year|Population of Canada|\n","|-|-|\n","|1867|3463000|\n","|1892|4883000|\n","|1917|8060000|\n","|1942|11654000|\n","|1967|20500000|\n","|1992|28377000|"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#✏️\n","population = []\n","year = []\n","px.line(x=year, y=population)"]},{"cell_type":"markdown","metadata":{},"source":["We can see that the line gets steeper, meaning that the rate of population growth was increasing.\n","\n","Now let's add some labels to that graph so other people will know what we are displaying.\n","\n","In the code cell below, change the title to `'Population of Canada Over Time'`"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["populations = [3463000, 4883000, 8060000, 11654000, 20500000, 28377000]\n","years = [1867, 1892, 1917, 1942, 1967, 1992]\n","px.line(x=years, y=populations, title='population')"]},{"cell_type":"markdown","metadata":{},"source":["Now it's your turn to make a line graph of some data. Graph the number of hours of daylight in Edmonton (or your closest city) per day in December using data from https://www.nrc-cnrc.gc.ca/eng/services/sunrise/advanced.html. Copy and paste each of the values into the `daylight_hours` list, with commas between the numbers.\n","\n","Since there are 31 days in December, we will have the code make up a `dates` list."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["#✏️ Type or paste in the correct daylight hours values from https://www.nrc-cnrc.gc.ca/eng/services/sunrise/advanced.html\n","\n","daylight_hours = []\n","\n","dates = list(range(len(daylight_hours)))\n","px.line(x=dates, y=daylight_hours, title='Daylight Hours in Edmonton per Day in December').update_xaxes(title='Day').update_yaxes(title='Hours of Daylight')\n"]},{"cell_type":"markdown","metadata":{},"source":["What observations can you make about how the hours of daylight per day changes throughout December?\n","\n","*Double-click on the next cell to edit it and add your answer.*"]},{"cell_type":"markdown","metadata":{},"source":["✏️I observe that "]},{"cell_type":"markdown","metadata":{},"source":["What other data might you want to graph using a line graph? Check out what data are available on Open Data sites such as https://open.canada.ca/en/open-data or https://open.alberta.ca/opendata."]},{"cell_type":"markdown","metadata":{},"source":["✏️I would like to create a graph of "]},{"cell_type":"markdown","metadata":{},"source":["If you find an interesting data set, create your own line graph below."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["x = []\n","y = []\n","\n","px.line(x=x, y=y, title='title').update_xaxes(title='x').update_yaxes(title='y')"]},{"cell_type":"markdown","metadata":{},"source":["## Interpreting Graphs"]},{"cell_type":"markdown","metadata":{},"source":["Here is a graph of average daytime high temperature in Edmonton, Alberta by month (using data from [NOAA](https://www.ncdc.noaa.gov/)). "]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["temperatures = [-7, -3, 2, 11, 18, 21, 23, 22, 17, 11, 1, -5]\n","months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n","\n","px.line(x=months, y=temperatures, title='Average Temperature in Edmonton by Month').update_xaxes(title='Month').update_yaxes(title='Temperature (°C)')"]},{"cell_type":"markdown","metadata":{},"source":["Based on the graph above, which month seems to be the warmest?"]},{"cell_type":"markdown","metadata":{},"source":["✏️The warmest month seems to be "]},{"cell_type":"markdown","metadata":{},"source":["Based on the graph, which month seems to be the coldest?"]},{"cell_type":"markdown","metadata":{},"source":["✏️The coldest month seems to be "]},{"cell_type":"markdown","metadata":{},"source":["Here's another graph with data for Edmonton, Alberta and Honolulu, Hawaii. For this one we are going to use [Plotly Graph Objects](https://plotly.com/python/graph-objects)."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["averageHighEdmonton = [-7, -3, 2, 11, 18, 21, 23, 22, 17, 11, 1, -5]\n","averageHighHonolulu = [27, 27, 28, 28, 29, 30, 31, 31, 31, 30, 29, 28]\n","months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n","\n","import plotly.graph_objects as go\n","fig = go.Figure()\n","fig.add_trace(go.Scatter(x=months,y=averageHighEdmonton, name='Edmonton'))\n","fig.add_trace(go.Scatter(x=months,y=averageHighHonolulu, name='Honolulu'))\n","fig.update_xaxes(title_text='Month')\n","fig.update_yaxes(title_text='Temperature (°C)')\n","fig.update_layout(title='Average High Temperatures in Edmonton and Honolulu')\n","fig.show()"]},{"cell_type":"markdown","metadata":{},"source":["What two differences do you notice between the two lines?"]},{"cell_type":"markdown","metadata":{},"source":["✏️\n","\n","1. \n","2. "]},{"cell_type":"markdown","metadata":{},"source":["What similarity do you notice between the lines?"]},{"cell_type":"markdown","metadata":{},"source":["✏️I notice that"]},{"cell_type":"markdown","metadata":{},"source":["How do you think this graph would look if we used data from Sydney, NSW, Australia?\n","\n","You can [search for this information](https://www.google.ca/search?&q=average+monthly+temperature+sydney+australia) to get both numbers and graphs."]},{"cell_type":"markdown","metadata":{},"source":["✏️I think that for Sydney, NSW, Australia "]},{"cell_type":"markdown","metadata":{},"source":["How do you think this graph would look if we used data from the North Pole?"]},{"cell_type":"markdown","metadata":{},"source":["✏️I think that for the North Pole "]},{"cell_type":"markdown","metadata":{},"source":["The World Health Organization has [published](https://www.cpeg-gcep.net/content/who-growth-charts-canada) growth charts of children in Canada for [boys](https://www.dietitians.ca/Downloads/Public/HFA-WFA_2-19_BOYS_EN.aspx) and [girls](https://www.dietitians.ca/Downloads/Public/HFA-WFA_2-19_GIRLS_EN.aspx). From the appropriate graph, figure out approximately which percentile you are in for your age and height."]},{"cell_type":"markdown","metadata":{},"source":["✏️I am in the"]},{"cell_type":"markdown","metadata":{},"source":["## Conclusion\n","\n","In this notebook we created and labelled line graphs using [Plotly Express](https://plotly.com/python/plotly-express) and [Plotly Graph Objects](https://plotly.com/python/graph-objects) and interpreted line graphs."]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"interpreter":{"hash":"d1ca6d17674200220921376aaeb3d36cffe15ecab2470a9a5e7a456cdbf61425"},"kernelspec":{"display_name":"Python 3.10.1 64-bit","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":"3.10.1"}},"nbformat":4,"nbformat_minor":2}
diff --git a/content/curriculum-notebooks/Mathematics/CryptographyCyphers/cryptography-cyphers.ipynb b/content/curriculum-notebooks/Mathematics/CryptographyCyphers/cryptography-cyphers.ipynb
index 3d035f4..3d4c830 100644
--- a/content/curriculum-notebooks/Mathematics/CryptographyCyphers/cryptography-cyphers.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CryptographyCyphers/cryptography-cyphers.ipynb
@@ -80,6 +80,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets pyspellchecker\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import string\n",
     "alphabet_list = list(string.ascii_uppercase)\n",
     "print(\"Letter      Number\")\n",
diff --git a/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting-data.ipynb b/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting-data.ipynb
index 3146bb4..ee5a948 100644
--- a/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting-data.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting-data.ipynb
@@ -26,6 +26,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat scipy\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import pandas as pd\n",
     "\n",
     "try:\n",
diff --git a/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting.ipynb b/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting.ipynb
index 25e7974..aa3f785 100644
--- a/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting.ipynb
+++ b/content/curriculum-notebooks/Mathematics/CurveFitting/curve-fitting.ipynb
@@ -26,6 +26,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat scipy\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "# Numerical python package to allow us to do math quickly \n",
     "import numpy as np\n",
     "# Ploting library \n",
diff --git a/content/curriculum-notebooks/Mathematics/DataAndSinusoidalFunctions/data-and-sinusoidal-functions.ipynb b/content/curriculum-notebooks/Mathematics/DataAndSinusoidalFunctions/data-and-sinusoidal-functions.ipynb
index 8a69225..2ae3663 100644
--- a/content/curriculum-notebooks/Mathematics/DataAndSinusoidalFunctions/data-and-sinusoidal-functions.ipynb
+++ b/content/curriculum-notebooks/Mathematics/DataAndSinusoidalFunctions/data-and-sinusoidal-functions.ipynb
@@ -63,6 +63,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/DoubleBarGraphs/double-bar-graphs.ipynb b/content/curriculum-notebooks/Mathematics/DoubleBarGraphs/double-bar-graphs.ipynb
index 849d5dd..a10f8af 100644
--- a/content/curriculum-notebooks/Mathematics/DoubleBarGraphs/double-bar-graphs.ipynb
+++ b/content/curriculum-notebooks/Mathematics/DoubleBarGraphs/double-bar-graphs.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "x = ['2018', '2019', '2020']\n",
     "y1 = [358, 463, 466]\n",
     "y2 = [425, 526, 475]\n",
diff --git a/content/curriculum-notebooks/Mathematics/ExperimentalProbability/experimental-probability.ipynb b/content/curriculum-notebooks/Mathematics/ExperimentalProbability/experimental-probability.ipynb
index e55a819..8d0520d 100644
--- a/content/curriculum-notebooks/Mathematics/ExperimentalProbability/experimental-probability.ipynb
+++ b/content/curriculum-notebooks/Mathematics/ExperimentalProbability/experimental-probability.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "sides = 2\n",
     "howMany = 20\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/ExponentialGrowth/exponential-growth.ipynb b/content/curriculum-notebooks/Mathematics/ExponentialGrowth/exponential-growth.ipynb
index 4b75527..61d234a 100644
--- a/content/curriculum-notebooks/Mathematics/ExponentialGrowth/exponential-growth.ipynb
+++ b/content/curriculum-notebooks/Mathematics/ExponentialGrowth/exponential-growth.ipynb
@@ -40,6 +40,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "total = 0\n",
     "for n in range(64):\n",
     "    total = total + 2**n\n",
diff --git a/content/curriculum-notebooks/Mathematics/FibonacciNumbers/fibonacci-numbers.ipynb b/content/curriculum-notebooks/Mathematics/FibonacciNumbers/fibonacci-numbers.ipynb
index 6e44b38..c96667e 100644
--- a/content/curriculum-notebooks/Mathematics/FibonacciNumbers/fibonacci-numbers.ipynb
+++ b/content/curriculum-notebooks/Mathematics/FibonacciNumbers/fibonacci-numbers.ipynb
@@ -58,6 +58,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "from IPython.display import YouTubeVideo\n",
     "YouTubeVideo('LP253wHIoO8', start=2633)"
    ]
diff --git a/content/curriculum-notebooks/Mathematics/FlippingCoins/flipping-coins.ipynb b/content/curriculum-notebooks/Mathematics/FlippingCoins/flipping-coins.ipynb
index 72d93c2..f2c9558 100644
--- a/content/curriculum-notebooks/Mathematics/FlippingCoins/flipping-coins.ipynb
+++ b/content/curriculum-notebooks/Mathematics/FlippingCoins/flipping-coins.ipynb
@@ -32,6 +32,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import random\n",
     "for i in range(10):\n",
     "    print(random.uniform(0,1))"
diff --git a/content/curriculum-notebooks/Mathematics/GraphingTwoVariables/graphing-two-variables.ipynb b/content/curriculum-notebooks/Mathematics/GraphingTwoVariables/graphing-two-variables.ipynb
index 9e543b0..a9aa24d 100644
--- a/content/curriculum-notebooks/Mathematics/GraphingTwoVariables/graphing-two-variables.ipynb
+++ b/content/curriculum-notebooks/Mathematics/GraphingTwoVariables/graphing-two-variables.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import plotly.express as px\n",
     "\n",
     "wages = range(15,51,5)\n",
diff --git a/content/curriculum-notebooks/Mathematics/HorizontalAndVerticalTranslations/effects-of-horizontal-and-vertical-translations.ipynb b/content/curriculum-notebooks/Mathematics/HorizontalAndVerticalTranslations/effects-of-horizontal-and-vertical-translations.ipynb
index 14cb917..736316f 100644
--- a/content/curriculum-notebooks/Mathematics/HorizontalAndVerticalTranslations/effects-of-horizontal-and-vertical-translations.ipynb
+++ b/content/curriculum-notebooks/Mathematics/HorizontalAndVerticalTranslations/effects-of-horizontal-and-vertical-translations.ipynb
@@ -36,6 +36,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import numpy as np\n",
     "from plotly import graph_objs as go\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/IndependentProbability/independent-probability.ipynb b/content/curriculum-notebooks/Mathematics/IndependentProbability/independent-probability.ipynb
index b6a3e7e..c0b21ed 100644
--- a/content/curriculum-notebooks/Mathematics/IndependentProbability/independent-probability.ipynb
+++ b/content/curriculum-notebooks/Mathematics/IndependentProbability/independent-probability.ipynb
@@ -36,6 +36,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "from ipywidgets import Output, VBox\n",
     "from random import choice\n",
     "import time\n",
diff --git a/content/curriculum-notebooks/Mathematics/InterpretAndAssessOdds/interpret-and-assess-odds.ipynb b/content/curriculum-notebooks/Mathematics/InterpretAndAssessOdds/interpret-and-assess-odds.ipynb
index e46a0f0..a983db7 100644
--- a/content/curriculum-notebooks/Mathematics/InterpretAndAssessOdds/interpret-and-assess-odds.ipynb
+++ b/content/curriculum-notebooks/Mathematics/InterpretAndAssessOdds/interpret-and-assess-odds.ipynb
@@ -69,6 +69,9 @@
    },
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "number_of_darts = 100\n",
     "\n",
     "if 0 < number_of_darts < 100001:\n",
diff --git a/content/curriculum-notebooks/Mathematics/InterpretingStatisticalData/interpreting-statistical-data.ipynb b/content/curriculum-notebooks/Mathematics/InterpretingStatisticalData/interpreting-statistical-data.ipynb
index e30d5a5..291d32b 100644
--- a/content/curriculum-notebooks/Mathematics/InterpretingStatisticalData/interpreting-statistical-data.ipynb
+++ b/content/curriculum-notebooks/Mathematics/InterpretingStatisticalData/interpreting-statistical-data.ipynb
@@ -173,6 +173,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat scipy ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import scipy.stats as st\n",
     "import pandas as pd\n",
     "import numpy as np\n",
diff --git a/content/curriculum-notebooks/Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb b/content/curriculum-notebooks/Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb
index 9f9769e..6a6fd3c 100644
--- a/content/curriculum-notebooks/Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb
+++ b/content/curriculum-notebooks/Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# Introduction\n","In this notebook, we will look at how we can visualize polynomial function inequalities using Python and the [Plotly](https://plotly.com/python) library.\n","\n","## Polynomials\n","\n","A [polynomial](https://en.wikipedia.org/wiki/Polynomial) is a function comprised of constants and variables. The constants and variables can be related to each other by addition (or subtraction), multiplication, and non-negative integer exponents. In this notebook we will use $P(x)$ denote a general polynomial, and we will only deal with polynomials of a single variable $x$. \n","\n","In general, a polynomial is expressed as:\n","\n","$P(x) = c_0 \\,  + \\,c_1x \\,  + ... +\\,  c_{n-2}x^{n-2} +  c_{n-1}x^{n-1} + c_nx^n = \\sum^n_{k=0}c_kx^k$\n","\n","where $c_k$ are *constant terms*, $x$ is the variable. The largest value of $n$ (i.e. the largest exponent) determines the *degree* of the polynomial. For example, some polynomials of degree *three* could be:\n","\n","$P(x) = x^3 + 2x^2 + 5x + 4$\n","\n","$P(x) = 3x^3 + 8x $\n","\n","$P(x) = x^3 + x^2 + 4$\n","\n","Note that only the value of the largest exponent affects the degree of the polynomial. "]},{"cell_type":"markdown","metadata":{},"source":["### Solving Inequalities\n","Given a polynomial $P(x)$, we can determine the range in which that polynomial satisfies a certain inequality. For example, consider the polynomial function\n","\n","$P(x) = x^2 + 4x$.\n","\n","For which values of $x$ is the ploynomial $P(x)$ less than or equal to three?\n","\n","We can solve this algebraically:\n","\n","1. Write the polynomial in standard form:   $x^2 + 4x + 3 \\leq 0 $\n","    \n","2. Factor the polynomial:   $(x+1)(x+3) \\leq 0$\n","\n","This tells us that the product of $(x+1)$ and $(x+3)$ is zero or negative. So the possible solutions are:\n","\n","- $x=-1$\n","- $x=-3$\n","- $x>-1$ and $x<-3$\n","- $x<-1$ and $x>-3$\n"," \n","We can see that there is no possible $x$ value that will result in  $(x+1)>0$ and $(x+3)<0$, so we can eliminate this as a possible solution.\n","\n","Thus, the solution to the inequality is $x=-1$, $x=-3$, and $x<-1$ and $x>-3$. We can plot this solution set on a number line:\n","\n","![ex1.png](images/ex1.png)\n","\n","or in [interval notation](https://en.wikipedia.org/wiki/Interval_(mathematics)#Notations_for_intervals), the solution is **[-3,-1]**\n","\n","### Graphical visualization of inequality solutions\n","\n","We can check our work by graphing the polynomial and drawing a line at $y=-3$ to help visualize where  $x^2 + 4x \\leq -3$."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["import numpy as np\n","import plotly.express as px\n","\n","x = np.linspace(-4, 0, 1000)   # create a list of evenly spaced numbers from -4 to 0\n","y = x**2 + 4*x\n","fig = px.scatter(x=x, y=y, title=r'$y = x^2 + 4x$ with line at $y = -3$')\n","fig.add_hline(y = -3)\n","fig.add_vrect(x0 = -3, x1 = -1, fillcolor='green', opacity=0.1)\n","fig.show()"]},{"cell_type":"markdown","metadata":{},"source":["Hovering the mouse over the line, we can see that the interval for which $P(x) \\leq -3$ is again [-3,-1], agreeing with our algebraic solution.\n","\n","## Changing Parameters\n","### Constant Term\n","The **constant term** of a polynomial is the term that doesn't include any variables (e.g. $x$). For example, the constant term is $4$ in the polynomial\n","\n","$P(x) = x^3 + 5x^2 + 4$,</br>\n","\n","Let's look at how changing the constant term changes the graph of the polynomial. Use the slider below the graph to see how changing $k$ affects it. The red shading shows where $P(x) \\geq 10$."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["import plotly.graph_objects as go\n","\n","k_start = -5\n","number_of_steps = 16\n","x = np.linspace(-6, 2, 1000)\n","\n","fig2 = go.Figure()\n","steps = []\n","for k in range(k_start, k_start+number_of_steps):\n","    fig2.add_trace(go.Scatter(x=x, y=x**3 + 5*x**2 + k, visible=False))\n","    visible_list = [False] * number_of_steps\n","    visible_list[k - k_start] = True\n","    steps.append(dict(label=k, method='restyle', args=[{'visible':visible_list}]))\n","fig2.data[0]['visible'] = True\n","sliders = [dict(active=0, currentvalue={'prefix': 'k = '}, steps=steps)]\n","fig2.update_layout(sliders=sliders, title='$x^3 + 5x^2 + k \\geq 10$', width=800, height=600, showlegend=False, yaxis_range=[-40,40])\n","fig2.add_hrect(y0=10, y1=40, fillcolor='green', opacity=0.1)\n","fig2.show()"]},{"cell_type":"markdown","metadata":{},"source":["# Conclusion\n","\n"," In this notebook we reviewed some basics of polynomial functions and inequalities:\n"," - general form and examples of polynomials\n"," - what defines the order (or degree) of a polynomial\n"," - what is the constant term of a polynomial, and what is it's role on the graph of a polynomial\n"," \n","We explored how to solve inequalities involving polynomials analytically and graphically."]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"kernelspec":{"display_name":"Python 3.10.4 64-bit","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":"3.10.4"},"latex_envs":{"LaTeX_envs_menu_present":true,"autoclose":false,"autocomplete":true,"bibliofile":"biblio.bib","cite_by":"apalike","current_citInitial":1,"eqLabelWithNumbers":true,"eqNumInitial":1,"hotkeys":{"equation":"Ctrl-E","itemize":"Ctrl-I"},"labels_anchors":false,"latex_user_defs":false,"report_style_numbering":false,"user_envs_cfg":false},"nbTranslate":{"displayLangs":["*"],"hotkey":"alt-t","langInMainMenu":true,"sourceLang":"en","targetLang":"fr","useGoogleTranslate":true},"vscode":{"interpreter":{"hash":"aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"}}},"nbformat":4,"nbformat_minor":2}
+{"cells":[{"cell_type":"markdown","metadata":{},"source":["![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true)\n","\n","\n","<a href=\"https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Mathematics/IntervalsAndInequalities/intervals-and-inequalities.ipynb&depth=1\" target=\"_parent\"><img src=\"https://raw.githubusercontent.com/callysto/curriculum-notebooks/master/open-in-callysto-button.svg?sanitize=true\" width=\"123\" height=\"24\" alt=\"Open in Callysto\"/></a>"]},{"cell_type":"markdown","metadata":{},"source":["# Introduction\n","In this notebook, we will look at how we can visualize polynomial function inequalities using Python and the [Plotly](https://plotly.com/python) library.\n","\n","## Polynomials\n","\n","A [polynomial](https://en.wikipedia.org/wiki/Polynomial) is a function comprised of constants and variables. The constants and variables can be related to each other by addition (or subtraction), multiplication, and non-negative integer exponents. In this notebook we will use $P(x)$ denote a general polynomial, and we will only deal with polynomials of a single variable $x$. \n","\n","In general, a polynomial is expressed as:\n","\n","$P(x) = c_0 \\,  + \\,c_1x \\,  + ... +\\,  c_{n-2}x^{n-2} +  c_{n-1}x^{n-1} + c_nx^n = \\sum^n_{k=0}c_kx^k$\n","\n","where $c_k$ are *constant terms*, $x$ is the variable. The largest value of $n$ (i.e. the largest exponent) determines the *degree* of the polynomial. For example, some polynomials of degree *three* could be:\n","\n","$P(x) = x^3 + 2x^2 + 5x + 4$\n","\n","$P(x) = 3x^3 + 8x $\n","\n","$P(x) = x^3 + x^2 + 4$\n","\n","Note that only the value of the largest exponent affects the degree of the polynomial. "]},{"cell_type":"markdown","metadata":{},"source":["### Solving Inequalities\n","Given a polynomial $P(x)$, we can determine the range in which that polynomial satisfies a certain inequality. For example, consider the polynomial function\n","\n","$P(x) = x^2 + 4x$.\n","\n","For which values of $x$ is the ploynomial $P(x)$ less than or equal to three?\n","\n","We can solve this algebraically:\n","\n","1. Write the polynomial in standard form:   $x^2 + 4x + 3 \\leq 0 $\n","    \n","2. Factor the polynomial:   $(x+1)(x+3) \\leq 0$\n","\n","This tells us that the product of $(x+1)$ and $(x+3)$ is zero or negative. So the possible solutions are:\n","\n","- $x=-1$\n","- $x=-3$\n","- $x>-1$ and $x<-3$\n","- $x<-1$ and $x>-3$\n"," \n","We can see that there is no possible $x$ value that will result in  $(x+1)>0$ and $(x+3)<0$, so we can eliminate this as a possible solution.\n","\n","Thus, the solution to the inequality is $x=-1$, $x=-3$, and $x<-1$ and $x>-3$. We can plot this solution set on a number line:\n","\n","![ex1.png](images/ex1.png)\n","\n","or in [interval notation](https://en.wikipedia.org/wiki/Interval_(mathematics)#Notations_for_intervals), the solution is **[-3,-1]**\n","\n","### Graphical visualization of inequality solutions\n","\n","We can check our work by graphing the polynomial and drawing a line at $y=-3$ to help visualize where  $x^2 + 4x \\leq -3$."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["%pip install -q pyodide_http plotly nbformat\n","import pyodide_http\n","pyodide_http.patch_all()\n","import numpy as np\n","import plotly.express as px\n","\n","x = np.linspace(-4, 0, 1000)   # create a list of evenly spaced numbers from -4 to 0\n","y = x**2 + 4*x\n","fig = px.scatter(x=x, y=y, title=r'$y = x^2 + 4x$ with line at $y = -3$')\n","fig.add_hline(y = -3)\n","fig.add_vrect(x0 = -3, x1 = -1, fillcolor='green', opacity=0.1)\n","fig.show()"]},{"cell_type":"markdown","metadata":{},"source":["Hovering the mouse over the line, we can see that the interval for which $P(x) \\leq -3$ is again [-3,-1], agreeing with our algebraic solution.\n","\n","## Changing Parameters\n","### Constant Term\n","The **constant term** of a polynomial is the term that doesn't include any variables (e.g. $x$). For example, the constant term is $4$ in the polynomial\n","\n","$P(x) = x^3 + 5x^2 + 4$,</br>\n","\n","Let's look at how changing the constant term changes the graph of the polynomial. Use the slider below the graph to see how changing $k$ affects it. The red shading shows where $P(x) \\geq 10$."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["import plotly.graph_objects as go\n","\n","k_start = -5\n","number_of_steps = 16\n","x = np.linspace(-6, 2, 1000)\n","\n","fig2 = go.Figure()\n","steps = []\n","for k in range(k_start, k_start+number_of_steps):\n","    fig2.add_trace(go.Scatter(x=x, y=x**3 + 5*x**2 + k, visible=False))\n","    visible_list = [False] * number_of_steps\n","    visible_list[k - k_start] = True\n","    steps.append(dict(label=k, method='restyle', args=[{'visible':visible_list}]))\n","fig2.data[0]['visible'] = True\n","sliders = [dict(active=0, currentvalue={'prefix': 'k = '}, steps=steps)]\n","fig2.update_layout(sliders=sliders, title='$x^3 + 5x^2 + k \\geq 10$', width=800, height=600, showlegend=False, yaxis_range=[-40,40])\n","fig2.add_hrect(y0=10, y1=40, fillcolor='green', opacity=0.1)\n","fig2.show()"]},{"cell_type":"markdown","metadata":{},"source":["# Conclusion\n","\n"," In this notebook we reviewed some basics of polynomial functions and inequalities:\n"," - general form and examples of polynomials\n"," - what defines the order (or degree) of a polynomial\n"," - what is the constant term of a polynomial, and what is it's role on the graph of a polynomial\n"," \n","We explored how to solve inequalities involving polynomials analytically and graphically."]},{"cell_type":"markdown","metadata":{},"source":["[![Callysto.ca License](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-bottom.jpg?raw=true)](https://github.com/callysto/curriculum-notebooks/blob/master/LICENSE.md)"]}],"metadata":{"kernelspec":{"display_name":"Python 3.10.4 64-bit","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":"3.10.4"},"latex_envs":{"LaTeX_envs_menu_present":true,"autoclose":false,"autocomplete":true,"bibliofile":"biblio.bib","cite_by":"apalike","current_citInitial":1,"eqLabelWithNumbers":true,"eqNumInitial":1,"hotkeys":{"equation":"Ctrl-E","itemize":"Ctrl-I"},"labels_anchors":false,"latex_user_defs":false,"report_style_numbering":false,"user_envs_cfg":false},"nbTranslate":{"displayLangs":["*"],"hotkey":"alt-t","langInMainMenu":true,"sourceLang":"en","targetLang":"fr","useGoogleTranslate":true},"vscode":{"interpreter":{"hash":"aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"}}},"nbformat":4,"nbformat_minor":2}
diff --git a/content/curriculum-notebooks/Mathematics/MultiplesAndFactors/multiples-and-factors.ipynb b/content/curriculum-notebooks/Mathematics/MultiplesAndFactors/multiples-and-factors.ipynb
index 8bf573a..84294ab 100644
--- a/content/curriculum-notebooks/Mathematics/MultiplesAndFactors/multiples-and-factors.ipynb
+++ b/content/curriculum-notebooks/Mathematics/MultiplesAndFactors/multiples-and-factors.ipynb
@@ -27,6 +27,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "number = 3\n",
     "howManyMultiples = 5\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/MultiplicationDivisionFractions/multiplication-division-fractions.ipynb b/content/curriculum-notebooks/Mathematics/MultiplicationDivisionFractions/multiplication-division-fractions.ipynb
index 48f0421..aeb0ac7 100644
--- a/content/curriculum-notebooks/Mathematics/MultiplicationDivisionFractions/multiplication-division-fractions.ipynb
+++ b/content/curriculum-notebooks/Mathematics/MultiplicationDivisionFractions/multiplication-division-fractions.ipynb
@@ -37,6 +37,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
     "fig01 = plt.figure(figsize=(5,1))\n",
diff --git a/content/curriculum-notebooks/Mathematics/MultiplicationTable/multiplication-table.ipynb b/content/curriculum-notebooks/Mathematics/MultiplicationTable/multiplication-table.ipynb
index 96f413f..a409136 100644
--- a/content/curriculum-notebooks/Mathematics/MultiplicationTable/multiplication-table.ipynb
+++ b/content/curriculum-notebooks/Mathematics/MultiplicationTable/multiplication-table.ipynb
@@ -26,6 +26,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "up_to = 9\n",
     "\n",
     "import pandas as pd\n",
diff --git a/content/curriculum-notebooks/Mathematics/OralAndWrittenPatterns/oral-and-written-patterns.ipynb b/content/curriculum-notebooks/Mathematics/OralAndWrittenPatterns/oral-and-written-patterns.ipynb
index 20c699b..15aef3b 100644
--- a/content/curriculum-notebooks/Mathematics/OralAndWrittenPatterns/oral-and-written-patterns.ipynb
+++ b/content/curriculum-notebooks/Mathematics/OralAndWrittenPatterns/oral-and-written-patterns.ipynb
@@ -87,6 +87,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import plotly.graph_objects as go\n",
     "import ipywidgets as widgets\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/ParallelogramArea/parallelogram-area.ipynb b/content/curriculum-notebooks/Mathematics/ParallelogramArea/parallelogram-area.ipynb
index fc91732..7fb1ec8 100644
--- a/content/curriculum-notebooks/Mathematics/ParallelogramArea/parallelogram-area.ipynb
+++ b/content/curriculum-notebooks/Mathematics/ParallelogramArea/parallelogram-area.ipynb
@@ -38,6 +38,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import ipywidgets as widgets\n",
     "import plotly.graph_objects as go\n",
     "import math\n",
diff --git a/content/curriculum-notebooks/Mathematics/PiDay/pi-day.ipynb b/content/curriculum-notebooks/Mathematics/PiDay/pi-day.ipynb
index 7dc9182..b14d0e8 100644
--- a/content/curriculum-notebooks/Mathematics/PiDay/pi-day.ipynb
+++ b/content/curriculum-notebooks/Mathematics/PiDay/pi-day.ipynb
@@ -63,6 +63,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import ipywidgets as widgets\n",
     "from IPython.display import display, Markdown, Latex, Math, HTML, clear_output, Javascript\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/PricingAndIncome/pricing-and-income.ipynb b/content/curriculum-notebooks/Mathematics/PricingAndIncome/pricing-and-income.ipynb
index 40a9fdf..f3b95c1 100644
--- a/content/curriculum-notebooks/Mathematics/PricingAndIncome/pricing-and-income.ipynb
+++ b/content/curriculum-notebooks/Mathematics/PricingAndIncome/pricing-and-income.ipynb
@@ -172,6 +172,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "# calculate fixed annual income\n",
     "total_num_weeks = (365 / 7) - 3\n",
     "weekly_payment = 40 * 15\n",
diff --git a/content/curriculum-notebooks/Mathematics/StatisticalReasoning/statistical-reasoning.ipynb b/content/curriculum-notebooks/Mathematics/StatisticalReasoning/statistical-reasoning.ipynb
index 13df146..f9baecd 100644
--- a/content/curriculum-notebooks/Mathematics/StatisticalReasoning/statistical-reasoning.ipynb
+++ b/content/curriculum-notebooks/Mathematics/StatisticalReasoning/statistical-reasoning.ipynb
@@ -34,6 +34,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat requests zipfile36\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import requests\n",
     "from io import BytesIO\n",
     "from zipfile import ZipFile\n",
diff --git a/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-income-per-person.ipynb b/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-income-per-person.ipynb
index 6372558..dba29c4 100644
--- a/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-income-per-person.ipynb
+++ b/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-income-per-person.ipynb
@@ -33,6 +33,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "spreadsheet_key = '10vHiHnBQre07TwX75vTc_H1lf-w5-hbe5mZH4ro6QNE'\n",
     "spreadsheet_gid = '140930349'\n",
     "\n",
diff --git a/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-soccer.ipynb b/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-soccer.ipynb
index 6c7ce83..fe70cd6 100644
--- a/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-soccer.ipynb
+++ b/content/curriculum-notebooks/Mathematics/StatisticsProject/example-project-soccer.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "import pandas as pd\n",
     "data = pd.read_html('https://www.espn.com/soccer/table/_/league/eng.1')\n",
     "teams = data[0].join(data[1]) # join the two data tables together\n",
diff --git a/content/curriculum-notebooks/Mathematics/TippingPointJobs/tipping-point-jobs.ipynb b/content/curriculum-notebooks/Mathematics/TippingPointJobs/tipping-point-jobs.ipynb
index ba9caa8..6ff1450 100644
--- a/content/curriculum-notebooks/Mathematics/TippingPointJobs/tipping-point-jobs.ipynb
+++ b/content/curriculum-notebooks/Mathematics/TippingPointJobs/tipping-point-jobs.ipynb
@@ -87,6 +87,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ipywidgets\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "## For zero sales\n",
     "1200 + 0, 250 + 0"
    ]
diff --git a/content/curriculum-notebooks/Mathematics/Transformations/transformations.ipynb b/content/curriculum-notebooks/Mathematics/Transformations/transformations.ipynb
index 2cfed5f..0a71b84 100644
--- a/content/curriculum-notebooks/Mathematics/Transformations/transformations.ipynb
+++ b/content/curriculum-notebooks/Mathematics/Transformations/transformations.ipynb
@@ -42,6 +42,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat \n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
+    "\n",
     "import plotly.graph_objs as go\n",
     "start_x = [1, 1, 4, 4, 1]\n",
     "start_y = [1, 4, 4, 1, 1]\n",
diff --git a/content/curriculum-notebooks/Mathematics/TurtleAngles/turtle-angles.ipynb b/content/curriculum-notebooks/Mathematics/TurtleAngles/turtle-angles.ipynb
index 57f7ab3..25ce211 100644
--- a/content/curriculum-notebooks/Mathematics/TurtleAngles/turtle-angles.ipynb
+++ b/content/curriculum-notebooks/Mathematics/TurtleAngles/turtle-angles.ipynb
@@ -28,6 +28,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat ColabTurtlePlus \n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "angle = 45\n",
     "\n",
     "from mobilechelonian import Turtle\n",
diff --git a/content/curriculum-notebooks/Mathematics/VisualizingFractions/visualizing-fractions.ipynb b/content/curriculum-notebooks/Mathematics/VisualizingFractions/visualizing-fractions.ipynb
index 8eab868..4e90da0 100644
--- a/content/curriculum-notebooks/Mathematics/VisualizingFractions/visualizing-fractions.ipynb
+++ b/content/curriculum-notebooks/Mathematics/VisualizingFractions/visualizing-fractions.ipynb
@@ -33,6 +33,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%pip install -q pyodide_http plotly nbformat\n",
+    "import pyodide_http\n",
+    "pyodide_http.patch_all()\n",
     "denominator = 5\n",
     "\n",
     "import plotly.express as px\n",