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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 95-865 Recitation 1 - Basic Python Review\n",
"\n",
"*Contact TA: Mi Zhou (mzhou1@andrew.cmu.edu)*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 0. Setup the environment\n",
"\n",
"Download and install [Anaconda](https://www.anaconda.com/download/), [spaCy](https://spacy.io/) and run a Jupyter notebook.\n",
" * The tutorial slides included in HW1.zip (95-865 Anaconda, Jupyter, and spaCy setup tutorial.pdf) will guide you through this process (tested on Linux and Mac OSX).\n",
" * The following [video](https://www.youtube.com/watch?v=xKg2anRkg-M&index=1&list=PLcHK-U_3XaQvdjiU1d9r3dn_1xLyablE4) guides you through installing Anaconda and running Jupyer on Windows 10.\n",
" * Note: **DO** check the \"Add Anaconda to PATH\" option during the installation!\n",
" * Installation on Windows 10 requires Visual Studio 2017.\n",
" * The following [video](https://www.youtube.com/watch?v=hY_0YUKVNMU&index=3&list=PLcHK-U_3XaQvdjiU1d9r3dn_1xLyablE4) guides you through installing spaCy on Windows 10.\n",
" * Note: Run `conda config --add channels conda-forge` prior to installing the package.\n",
" \n",
"If you already have a reliable way to install Python packages and run Jupyter notebooks, feel free to continue using that instead."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1. Python basics\n",
"\n",
"The subproblems below use the following two lists:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"a = [13, 1, 55, 34, 2, 3, 89, 5, 8, 21]\n",
"b = [17,55, 34, 2, 3, 8, 9, 1, 4, 5, 6, 7, 20, 21, 36]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### List intersection\n",
"\n",
"Find the elements that are common between the lists and store it in a new list `c`. Print list `c`."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 34, 3, 2, 5, 8, 21, 55]\n"
]
}
],
"source": [
"c = list(set(a).intersection(set(b)))\n",
"\n",
"print(c)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### List filtering\n",
"\n",
"Using a [list comprehension](https://www.pythonforbeginners.com/basics/list-comprehensions-in-python), construct a new list `d` containing only the **even** elements of `c`. Print list `d`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[34, 2, 8]\n"
]
}
],
"source": [
"d = [item for item in c if item%2 == 0]\n",
"\n",
"print(d)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Fancy list operations"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Reverse the list `d` and print it."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[8, 2, 34]\n"
]
}
],
"source": [
"d.reverse()\n",
"\n",
"print(d)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sort the list `d` in increasing order and print it."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2, 8, 34]\n"
]
}
],
"source": [
"d.sort()\n",
"\n",
"print(d)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sort the list `d` in decreasing order and print it."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[34, 8, 2]\n"
]
}
],
"source": [
"d.sort(reverse = True)\n",
"\n",
"print(d)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### User-defined Functions\n",
"\n",
"Write a function that takes as input a list and returns the maximum element of the list, **without** using a call to the `max()` function built into Python."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"19\n"
]
}
],
"source": [
"def myMax(ls):\n",
" ls.sort(reverse = True)\n",
" return ls[0]\n",
"\n",
"print(myMax([1,2,19]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Using Loops to Evaluate Expressions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use a for loop to compute $\\sum_{n=1}^{100} 2^{-n}$. Print your result."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.0\n"
]
}
],
"source": [
"s = 0\n",
"\n",
"for n in range(1,101):\n",
" s = s + 2**(-n)\n",
"\n",
"print(s)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 2. Scientific computing with numpy\n",
"\n",
"Install the `numpy` Python package before starting this section."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"### Numpy arrays"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Construct a 4x4 \"identity matrix\" `I`"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1. 0. 0. 0.]\n",
" [ 0. 1. 0. 0.]\n",
" [ 0. 0. 1. 0.]\n",
" [ 0. 0. 0. 1.]]\n"
]
}
],
"source": [
"I = np.identity(4)\n",
"\n",
"print(I)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Construct a 4x4 \"zero matrix\" `O` "
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0. 0. 0. 0.]\n",
" [ 0. 0. 0. 0.]\n",
" [ 0. 0. 0. 0.]\n",
" [ 0. 0. 0. 0.]]\n"
]
}
],
"source": [
"O = np.zeros((4,4))\n",
"\n",
"print(O)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Construct a 4x4 \"all-ones\" matrix `X` "
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1. 1. 1. 1.]\n",
" [ 1. 1. 1. 1.]\n",
" [ 1. 1. 1. 1.]\n",
" [ 1. 1. 1. 1.]]\n"
]
}
],
"source": [
"X = np.ones((4,4))\n",
"\n",
"print(X)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Construct a 4x4 \"all-3s\" matrix `Y` "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 3. 3. 3. 3.]\n",
" [ 3. 3. 3. 3.]\n",
" [ 3. 3. 3. 3.]\n",
" [ 3. 3. 3. 3.]]\n"
]
}
],
"source": [
"Y = X*3\n",
"\n",
"print(Y)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Numpy functions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Consider the matrix `Z` defined below and use numpy functions to answer the following questions:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1 2 4]\n",
" [ 2 3 5]\n",
" [ 2 7 10]]\n"
]
}
],
"source": [
"Z = np.array([[1,2,4],[2,3,5],[2,7,10]])\n",
"\n",
"print(Z)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print the maximum element of `Z`."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Z.max()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print the maximum of each row of `Z`. Note that for this question and other questions below, your code should work even if Z is a different 2D array of numbers."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 4, 5, 10])"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Z.max(axis = 1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print the maximum of each column of `Z`."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 2, 7, 10])"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Z.max(axis = 0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Print a \"row-normalized\" version of `Z` so that each row sums to 1 (the row-normalized version of `Z` has the same number of rows and columns as `Z`). \n",
"\n",
"For example, if a row is `[1,2,4]`, then the version of this row that sums to 1 is `[1/7,2/7,4/7]` (although when printing this out, you would get a decimal representation like `[0.14285714,0.28571429,0.57142857]`)."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1 2 4]\n",
" [ 2 3 5]\n",
" [ 2 7 10]]\n"
]
},
{
"data": {
"text/plain": [
"array([[ 0.14285714, 0.28571429, 0.57142857],\n",
" [ 0.2 , 0.3 , 0.5 ],\n",
" [ 0.10526316, 0.36842105, 0.52631579]])"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(Z)\n",
"\n",
"row_sum = Z.sum(axis=1)\n",
"row_sum = row_sum.reshape(3,1)\n",
"\n",
"Z / row_sum"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Convert `Z` into a matrix with a single row (a row vector) and print it. There are multiple two ways to do this, any of them are fine."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1, 2, 4, 2, 3, 5, 2, 7, 10])"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Z.flatten()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1, 2, 4, 2, 3, 5, 2, 7, 10])"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Z.reshape(-1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 3. Plotting with matplotlib\n",
"\n",
"Install the `matplotlib` Python package before starting this section."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%config InlineBackend.figure_format = 'retina' # if you use a Mac with Retina display"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Line lot"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"x = np.arange(10)\n",
"y = x\n",
"z = 2*x\n",
"m = x**2"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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/w8fHh8WLFxMSEgLAgAEDWLt2Le+//z5Tp07lqaee8to9Fy1axJgxY/D19aV5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\ntYzFAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106371400>"
]
},
"metadata": {
"image/png": {
"height": 250,
"width": 370
}
},
"output_type": "display_data"
}
],
"source": [
"plt.plot(x,y, '-', label = 'y = x')\n",
"plt.plot(x,z, '--', label = 'y = 2*x')\n",
"plt.plot(x,m, '-.', label = 'y = x^2')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Scatter plot"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"x = np.random.normal(size=1000)\n",
"y = np.random.normal(size=1000)\n",
"# y = np.sin(x)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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713YxbVhajVbitG5Etf2qXV6vqrCei6KEAQFRyIRpV11yx04hopsVoVrueGI2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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106371390>"
]
},
"metadata": {
"image/png": {
"height": 277,
"width": 386
}
},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(x,y, color = 'c')\n",
"plt.xlabel('x-axis')\n",
"plt.ylabel('y-axis')\n",
"plt.title('My plot')\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Histograms"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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leXGScyeqCQAAtoVdEx3n6NbajSs3VtULkzw7yf9I8rPjtqOTvDrJLUn2tNbeP25/XpKL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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1063710b8>"
]
},
"metadata": {
"image/png": {
"height": 250,
"width": 370
}
},
"output_type": "display_data"
}
],
"source": [
"plt.hist(x, bins = 50, color = 'pink',edgecolor = 'black')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Bar charts"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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T5QAA0EyUAwBAM1EOAADNRDkAADQT5QAA0EyUAwBAM1EOAADNRDkAADQT5QAA0Kwlyqvq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\nRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106be3278>"
]
},
"metadata": {
"image/png": {
"height": 250,
"width": 370
}
},
"output_type": "display_data"
}
],
"source": [
"y = [3, 10, 7, 5, 3, 4.5, 6, 8.1]\n",
"N = len(y)\n",
"x = range(1, N+1)\n",
"plt.bar(x, y, width=0.5, color=\"orange\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Just for fun: [XKCD](https://xkcd.com/)-style sketch plots"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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nnsCePXvKHcZ3w4YN+P333wFA/s3wxtKlS4t9voCrljg/Px/5+fm4cOEC9u7d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\naNOmDZo1a4bo6GhcvnwZb73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UKdjtdoSFhaFt27bo06cPevbs6dWNUHWy2+3YtGkTbrzx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\ngBT8JRKJRCKRSCSSV4D/A9xFWnlJPS1bAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x106333d30>"
]
},
"metadata": {
"image/png": {
"height": 267,
"width": 383
}
},
"output_type": "display_data"
}
],
"source": [
"with plt.xkcd():\n",
" # Based on \"Stove Ownership\" from XKCD by Randall Monroe\n",
" # http://xkcd.com/418/\n",
"\n",
" fig = plt.figure()\n",
" ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))\n",
" ax.spines['right'].set_color('none')\n",
" ax.spines['top'].set_color('none')\n",
" plt.xticks([])\n",
" plt.yticks([])\n",
" ax.set_ylim([-30, 10])\n",
"\n",
" data = np.ones(100)\n",
" data[70:] -= np.arange(30)\n",
"\n",
" plt.annotate(\n",
" 'THE DAY I REALIZED\\nI COULD COOK BACON\\nWHENEVER I WANTED',\n",
" xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))\n",
"\n",
" plt.plot(data)\n",
"\n",
" plt.xlabel('time')\n",
" plt.ylabel('my overall health')\n",
" fig.text(\n",
" 0.5, 0.05,\n",
" '\"Stove Ownership\" from xkcd by Randall Monroe',\n",
" ha='center')"
]
}
],
"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": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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