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Chapter04_Introduction_to_the_IPython_Notebook.ipynbdnpp7x
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Chapter04_Introduction_to_the_IPython_Notebook.ipynbdnpp7x
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{
"metadata": {
"name": "",
"signature": "sha256:2577a2f49ea249a8f0be8de2375d2bc017fe99efa700e66fa59f28fd4b379702"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Setting up a fancy stylesheet"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"from IPython.core.display import HTML\n",
"from IPython.display import Image\n",
"css_file = 'style.css'\n",
"HTML(open(css_file, 'r').read())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<link href='http://fonts.googleapis.com/css?family=Alegreya+Sans:100,300,400,500,700,800,900,100italic,300italic,400italic,500italic,700italic,800italic,900italic' rel='stylesheet' type='text/css'>\n",
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"<link href='http://fonts.googleapis.com/css?family=Philosopher:400,700,400italic,700italic' rel='stylesheet' type='text/css'>\n",
"\n",
"<style>\n",
"\n",
"@font-face {\n",
" font-family: \"Computer Modern\";\n",
" src: url('http://mirrors.ctan.org/fonts/cm-unicode/fonts/otf/cmunss.otf');\n",
"}\n",
"\n",
"#notebook_panel { /* main background */\n",
" background: #ddd;\n",
" color: #000000;\n",
"}\n",
"\n",
"\n",
"div.text_cell_render{\n",
" font-family: 'Arvo' sans-serif;\n",
" line-height: 130%;\n",
" font-size: 115%;\n",
" width:1000px;\n",
" margin-left:auto;\n",
" margin-right:auto;\n",
"}\n",
"\n",
"\n",
"/* Formatting for header cells */\n",
".text_cell_render h1 {\n",
" font-family: 'Philosopher', sans-serif;\n",
" font-weight: 400;\n",
" font-size: 2.2em;\n",
" line-height: 100%;\n",
" color: rgb(0, 80, 120);\n",
" margin-bottom: 0.1em;\n",
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" font-weight: 400;\n",
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" color: rgb(200,100,0);\n",
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".text_cell_render h3 {\n",
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" margin-bottom: 3px;\n",
" font-style: italic;\n",
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".text_cell_render h4 {\n",
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".text_cell_render h5 {\n",
" font-family: 'Alegreya Sans', sans-serif;\n",
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" color: grey;\n",
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".CodeMirror{\n",
" font-family: \"PT Mono\";\n",
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"}\n",
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"</style>\n",
"\n"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 1,
"text": [
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}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Setting up the required python™ environment"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"from warnings import filterwarnings\n",
"\n",
"filterwarnings('ignore')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"IPython Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Fernando P\u00e9rez, Brian E. Granger, IPython: A System for Interactive Scientific Computing, Computing in Science and Engineering, vol. 9, no. 3, pp. 21-29, May/June 2007, doi:10.1109/MCSE.2007.53. URL: http://ipython.org</p>"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Introduction"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>The *IPython Notebook* as you see used here (and throughout this course) is web browser based development environment (DE), which is of special use and interest in scientific computing.</p>\n",
"<p>The *Notebook* is not the only DE in the *IPython* family. There is also an interactive shell. It looks like a terminal window and is called the *qt-console*. If you installed a program such as *Anacoda*, you also get a scientific DE, called *Spyder-app*.</p>"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Learning more"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>You can learn a lot more about *IPython* from there website: http://www.ipython.org</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"HTML('<iframe src=http://www.ipython.org width=800 height=350></iframe>')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<iframe src=http://www.ipython.org width=800 height=350></iframe>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
"<IPython.core.display.HTML at 0x3f6aac8>"
]
}
],
"prompt_number": 3
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"The essentials"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Running IPython"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Throughout this course, I will be using the *IPython Notebook*. It runs in your default browser and works well in most.</p>\n",
"<p>If your system is set up correctly, you can open a *Terminal* window (Linux™; and Mac®) or a *Command* window (Windows®)</p>\n",
"<p>Simply type the text: *ipython notebook* and hit enter / return. Your default browser will open up and you will be greeted with a web page that looks like a simple *folder explorer*.</p>\n",
"<p>Using an up-to-date *Anaconda* version with *python*™ 3.4 and up will give you the ability to navigate your computer folder structure.</p>\n",
"<p>I prefer using a simple *Dropbox*® account on my computer to store all my *IPython* files. More sophisticated users can look into other code repositories such as *Github*.</p>"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Opening a new notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Depending on where you navigate to, any new notebook opened will be saved in that folder.</p>"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Toolbar"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Up top you will find a toolbar, with a name for your current notebook.</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"Image(filename = 'IPython_Notebook_Toolbar.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
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N6YvU1NS1a9fOnz8feIWnp+e2bdsIuyAgICAgIATDHtx3332xsbFwMXbsWPim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\nMvnr6s4FF7Rucy61vvy6zsZf1o1puTvwo2ry8Ft2HPJLyM+vXu7YLus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"prompt_number": 4,
"text": [
"<IPython.core.display.Image at 0x1049084a8>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Simply clicking on the *Untitled0* (the zero can be *1*, *2*, etc. depending on how many notebooks are saved with the *Untitled* name) will allow you to save a name for the notebook.</p>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>All the commands are hidden in drop boxes and includes the familiar *File*, *Edit*, and some others. You quickly learn what these do during the course of the lectures.</p>"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Cells"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>The best part of the *IPython Notebook* is the cell. A cell can be converted into a code block or used for text formatting. You can also use CSS code to change the overall look of your notebook as I have done here.</p>\n",
"<p>Text can be formatted using markdown or HTML.</p>\n",
"<p>Executing a cell is achieved by hitting both the *Shift* and *Enter / Return* keys.</p>"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"NBConvert"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Static HTML versions of pages can be rendered in the *Terminal* or *Command* window using a program called *nbconvert*. This way you can get hard copies of your notebooks.</p>"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Some simple coding"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"A fancy calculator"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>It is customary to start coding with a *Hello, world!* example. I'd rather start with some mathematics.</p>\n",
"<p>One of the basic building block of any computer programming language is the *variable*. I'm going to call it a *computer variable* (I also do lectures on mathematics using python™ and I need to discriminate between a computer and an algebraic variable!</p>\n",
"<p>A computer variable is in essence a space in the computer's memory, let's say an empty bucket. The variable name is the name given to that space (bucket). We can put a variety of things in that bucket and manipulate it.</p>\n",
"<p>Let's give it a go. I am going to create the variable *a* and put the value *7* into it. Remember, to execute the code in the cell, we hit the *shift* and *enter / return* keys at the same time. Hitting the *enter / return* key just gets you to a new line.</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a = 7"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Very exiting indeed!</p>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Let's heat things up a bit and repeat the process with another computer variable.<p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"b = 4"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I can get to the value in the bucket at any time. Here are two ways to do it:</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a # Simply refer to the computer variable name"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
"7"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"print(a) # Use the print command"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"7\n"
]
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Now, let's do some math. What is *7<sup>4</sup>* ?</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a ** b # Unlike most other computer languages the code for power is not ^, but **"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
"2401"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Here are some others. Can you work it out?</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a + b # Simple addition"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"11"
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a - b # Simple subtraction"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": [
"3"
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a * b # Simple multiplication"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"28"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a / b # Simple subtraction"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
"1.75"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a % b # The modulus (or remainder), i.e. what is left after doing 7 / 4"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"3"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"(a + b) / 2 # Forcing teh order of arithemtic operation"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"5.5"
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Now for the reason why I insist on using the name *computer variable*. Can you guess what's going to happen here?</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a = a + 5"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>For computer variables, the right hand side of the equation is evaluated first and then the new value is entererd into the referenced bucket.</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"print(a)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12\n"
]
}
],
"prompt_number": 17
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Importing our first library"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>Herewith the beauty of python™! We can extend the language by simply importing code someoene else have developed!</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"import math"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"math.sin(math.pi) # Because pi is restricted to a few decimal places, the aritmetic will look\n",
"# a bit funny"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": [
"1.2246467991473532e-16"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"from math import cos, pi # Negating the need to use the module name"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"cos(pi)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"-1.0"
]
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"import numpy as np # Importing a module and using an abbreviation"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"np.cos(np.pi)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": [
"-1.0"
]
}
],
"prompt_number": 23
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Using strings"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<p>A variable can contained other things too!</p>"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a = 'OK, here we go! Hello, world!' # Adding a string value to a computer variable"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": [
"'OK, here we go! Hello, world!'"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"print(a)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"OK, here we go! Hello, world!\n"
]
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"b = 'This is python!'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a + ' ' + b # Adding a space between the strings "
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 28,
"text": [
"'OK, here we go! Hello, world! This is python!'"
]
}
],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"print(a, b) # No space required with this method"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"OK, here we go! Hello, world! This is python!\n"
]
}
],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a * 2 # Surprise!"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 30,
"text": [
"'OK, here we go! Hello, world!OK, here we go! Hello, world!'"
]
}
],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a = [12, 13, 18] # Creating an array"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 32,
"text": [
"[12, 13, 18]"
]
}
],
"prompt_number": 32
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a * 2 # An array is not a matrix"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 33,
"text": [
"[12, 13, 18, 12, 13, 18]"
]
}
],
"prompt_number": 33
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a = [2, 3, 'hello', b] # A lot of different things in my array"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 35,
"text": [
"[2, 3, 'hello', 'This is python!']"
]
}
],
"prompt_number": 35
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Boolean values"
]
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"a == b # The double equal sign asks a question: Is the value in the computer variable a equal\n",
"# to the value in computer variable b?"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 36,
"text": [