From caf7185d77548c77aabeb4e2f38c64b47a4d0042 Mon Sep 17 00:00:00 2001
From: Edmond Anderson <edmond@host-233093.dhcp.egr.msu.edu>
Date: Tue, 28 Jun 2022 11:18:09 -0400
Subject: [PATCH 1/2] adding first draft
---
Pandas.ipynb | 381 +++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 381 insertions(+)
create mode 100644 Pandas.ipynb
diff --git a/Pandas.ipynb b/Pandas.ipynb
new file mode 100644
index 0000000..415d787
--- /dev/null
+++ b/Pandas.ipynb
@@ -0,0 +1,381 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "fc73d74c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "('answercheck.py', <http.client.HTTPMessage at 0x7fc9a8612220>)"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "#Install answercheck in current director\n",
+ "from urllib.request import urlretrieve\n",
+ "urlretrieve('https://raw.githubusercontent.com/colbrydi/jupytercheck/master/answercheck.py', filename='answercheck.py')\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3c2a4f39",
+ "metadata": {},
+ "source": [
+ "# Pandas\n",
+ "Pandas is a python library used to analyze data."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "2b78245b",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "71e867d9",
+ "metadata": {},
+ "source": [
+ "## Description\n",
+ "Pandas take tabular data and store them in objects known as ‘databases’. They are useful for exploring, cleaning, and processing data\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "58ec20e8",
+ "metadata": {},
+ "source": [
+ "## Self Assessment\n",
+ "\n",
+ "Questions that test for the learning goals and allows students to evaluate if they truly understand the topics."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5d237ca9",
+ "metadata": {},
+ "source": [
+ "## Training Materials\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21f9b14e",
+ "metadata": {},
+ "source": [
+ "For a general understanding of how to use pandas, along with practice exercises, check out the following website: https://www.w3schools.com/python/pandas/default.asp\n",
+ "\n",
+ "For a complete directory of everything you can do with pandas:\n",
+ "​​\n",
+ "https://pandas.pydata.org/docs/index.html\n",
+ "\n",
+ "Pandas Cheat Sheet:\n",
+ "\n",
+ "Data Analysis:\n",
+ "\thttps://drive.google.com/file/d/1UHK8wtWbADvHKXFC937IS6MTnlSZC_zB/view \n",
+ "\n",
+ "Wrangling Data:\n",
+ "https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1b047470",
+ "metadata": {},
+ "source": [
+ "Go to https://people.sc.fsu.edu/~jburkardt/data/csv/csv.html and download the “grades.cvs†file. We will use it to solve the following problems:\n",
+ "\n",
+ "✅ **<span style=\"color:red\">Question:</span>** Create a dataframe variable to store the grades.cvs table.\n",
+ "\n",
+ "\t\n",
+ "\n",
+ "If you need help: https://www.w3schools.com/python/pandas/pandas_csv.asp\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "ee42a54e",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'pd' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m##ANSWER##\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgrades.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 3\u001b[0m df\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "df = pd.read_csv('grades.csv')\n",
+ "df\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1e046af0",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Remove the 9th row (Andrew Airpump’s data) from the dataframe.\n",
+ "\n",
+ "If you need help, refer to the Wrangling Data cheatsheet: https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "180aff55",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'pd' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m##ANSWER##\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgrades.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 3\u001b[0m df\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "df_1 = df.drop([8])\n",
+ "df_1\n",
+ "\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "43219d26",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Clean up column headers to remove unnecessary quotation marks.\n",
+ "\n",
+ "\n",
+ "If you need help: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename.html\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "4c9f8f12",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'pd' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m##ANSWER##\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgrades.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 3\u001b[0m df\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "df_2 = df_1.rename(columns=[{'\\\"First name\\\"': 'First name'}])\n",
+ "\tdf_2\n",
+ "\n",
+ "\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f4e4a841",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Sort the data by student’s SSN. Store this data in a new dataframe called df_3.\n",
+ "\n",
+ "\n",
+ "If you need help: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_values.html?highlight=sort_values#pandas.DataFrame.sort_values\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "b8c5166c",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'pd' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m##ANSWER##\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgrades.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 3\u001b[0m df\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "df_3 = df_2.sortvalues(by='Final')\n",
+ "\tdf_3 \n",
+ "\n",
+ "\n",
+ "\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "11a12621",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Sort the data by the overall letter grade they received in the class and the grade they received on the final.\n",
+ "\n",
+ "\n",
+ "If you need help: Same as above\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "333f476e",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Create a line graph plotting Test 1 scores against Test 2 scores.\n",
+ "\n",
+ "\n",
+ "\n",
+ "If you need help: https://pandas.pydata.org/docs/user_guide/visualization.html\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f66f2294",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Perform a correlation test comparing Test 3 and Test 4 scores.\n",
+ "\n",
+ "\n",
+ "If you need help: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.corr.html\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dd9c7fa5",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Example answercheck question: What is $x = 2+2$?\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "64684dfd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Put your answer here"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "619a2259",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "##ANSWER##\n",
+ "x = 4\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "9cc2b34a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "CheckWarning: passed variable is <class 'int'> and not a numpy.matrix.\n",
+ " Trying to convert to a array matrix using ```A = np.matrix(A)```.\n",
+ "\n",
+ "\n",
+ "CheckWarning: passed matrix is int64 and not <class 'numpy.float64'>...\n",
+ " Trying to convert to float using ```A = A.astype(float)```.\n",
+ "\n",
+ "Testing [[4.]]\n",
+ "Answer seems to be correct\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "from answercheck import checkanswer\n",
+ "checkanswer.vector(x,'2cab95d1b144d663bad1ce5c51020ae0')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "44b461a0",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "\n",
+ "Written by <<YOUR NAME HERE>>, Michigan State University \n",
+ "As part of the Data Science Bridge Project \n",
+ " \n",
+ "<a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc/4.0/\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by-nc/4.0/88x31.png\" /></a><br />This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc/4.0/\">Creative Commons Attribution-NonCommercial 4.0 International License</a>."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--
GitLab
From 8a0595e83b4d9483c1ef2b726d9d15a31f7e1128 Mon Sep 17 00:00:00 2001
From: Edmond Anderson <edmond@Edmonds-MacBook-Air.local>
Date: Wed, 29 Jun 2022 10:37:54 -0400
Subject: [PATCH 2/2] First Draft
---
Gradients.ipynb | 226 ++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 226 insertions(+)
create mode 100644 Gradients.ipynb
diff --git a/Gradients.ipynb b/Gradients.ipynb
new file mode 100644
index 0000000..ba4c1de
--- /dev/null
+++ b/Gradients.ipynb
@@ -0,0 +1,226 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "fc73d74c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "('answercheck.py', <http.client.HTTPMessage at 0x7fc9a8612220>)"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "##ANSWER##\n",
+ "#Install answercheck in current director\n",
+ "from urllib.request import urlretrieve\n",
+ "urlretrieve('https://raw.githubusercontent.com/colbrydi/jupytercheck/master/answercheck.py', filename='answercheck.py')\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3c2a4f39",
+ "metadata": {},
+ "source": [
+ "# Gradients\n",
+ "Pandas is a python library used to analyze data."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "71e867d9",
+ "metadata": {},
+ "source": [
+ "## Learning Goal\n",
+ "To _**understand**_ how to take a multivariable/partial derivative.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5d237ca9",
+ "metadata": {},
+ "source": [
+ "## Training Materials\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "21f9b14e",
+ "metadata": {},
+ "source": [
+ "For a general understanding of gradients, check out the following website:\n",
+ "\n",
+ "https://www.khanacademy.org/math/multivariable-calculus/multivariable-derivatives/partial-derivative-and-gradient-articles/a/the-gradient#:~:text=In%20the%20case%20of%20scalar,partial%20derivatives%20into%20a%20vector.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1e57b578",
+ "metadata": {},
+ "source": [
+ "## Self Assessment\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1b047470",
+ "metadata": {},
+ "source": [
+ "✅ **<span style=\"color:red\">Question:</span>** Find (how do I make a $\\nabla$f for the following equations:\n",
+ "\n",
+ "\n",
+ "1. $f(x, y) = x^3 - y^2$\n",
+ "2. $f(x,y) = xy^2 + 2x^4y$\n",
+ "3. $f(x,y) = cos(xy) - xsin(y)$\n",
+ "4. $f(x,y,z) = z^3 + (x/y) - 2xz$\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3b8e33ef",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Add you answers as sympy matricies.\n",
+ "a1= \n",
+ "a2=\n",
+ "a3=\n",
+ "a4=\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "08acf30a",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "SyntaxError",
+ "evalue": "invalid syntax (20810275.py, line 5)",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;36m Input \u001b[0;32mIn [7]\u001b[0;36m\u001b[0m\n\u001b[0;31m a1=sym.Matrix([[3x**2] ,[-2y]])\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "##ANSWER##\n",
+ "x=2.2\n",
+ "y=2.3\n",
+ "\n",
+ "a1=sym.Matrix([[3x**2] ,[-2y]])\n",
+ "a2=sym.Matrix([[y^2+8yx^3] ,[2xy+2x^4])\n",
+ "a3=sym.Matrix([-sin(xy)y -sin(y)], [-sin(xy)x - xcos(y)])\n",
+ "a4=sym.Matrix([(1/y)-2z],[ -x/y^2], [3z^2-2x])\n",
+ "\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dd9c7fa5",
+ "metadata": {},
+ "source": [
+ "\\✅ **<span style=\"color:red\">Question:</span>** Example answercheck question: What is $x = 2+2$?\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "64684dfd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Put your answer here"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "619a2259",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "##ANSWER##\n",
+ "x = 4\n",
+ "##ANSWER##"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "9cc2b34a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "CheckWarning: passed variable is <class 'int'> and not a numpy.matrix.\n",
+ " Trying to convert to a array matrix using ```A = np.matrix(A)```.\n",
+ "\n",
+ "\n",
+ "CheckWarning: passed matrix is int64 and not <class 'numpy.float64'>...\n",
+ " Trying to convert to float using ```A = A.astype(float)```.\n",
+ "\n",
+ "Testing [[4.]]\n",
+ "Answer seems to be correct\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "from answercheck import checkanswer\n",
+ "checkanswer.vector(x,'2cab95d1b144d663bad1ce5c51020ae0')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "44b461a0",
+ "metadata": {},
+ "source": [
+ "---\n",
+ "\n",
+ "Written by <<YOUR NAME HERE>>, Michigan State University \n",
+ "As part of the Data Science Bridge Project \n",
+ " \n",
+ "<a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc/4.0/\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by-nc/4.0/88x31.png\" /></a><br />This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc/4.0/\">Creative Commons Attribution-NonCommercial 4.0 International License</a>."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--
GitLab