{ "metadata": { "name": "", "signature": "sha256:32d79161799dce112996b82aa2961b2f162eff4c9fd1d876ca02722ce4c63787" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "What is Python?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Python is a dynamic, strongly typed, object-oriented programming language." ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Image\n", "Image(filename='confused-cat.jpg')" ], "language": "python", "metadata": {}, "outputs": [ { "jpeg": 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j2n0qduWt/ESc+6svyPoF0++M/Q2U5BHPJpvqBQwNAsdK7R1VbTOD9pIYg3Zo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AFuPfkYkttS4VfalcxLQm1PM3I7k2suCzKfRRS4uDBKTJptwclubHi3bDtjIQ2tVkFMjOCzK6tt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IRn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aGrUTQf/sq33f8A9kjC11plGqd7xB8xyuLa+q0xtafD5dFq1ddQamrJJEymkymsle+2Mnw7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"metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Courtesy of flicky user [sfroehlich1121](https://www.flickr.com/photos/41279036@N06/5184090655/in/photostream/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before we go into what the above means, note that there is a strong, and growing, Python community\n", "in Astronomy - for instance\n", "\n", " - X-ray astronomy (CIAO)\n", " \n", " - optical/ground-based astronomy (PyRAF)\n", " \n", " - radio (CASA)\n", " \n", " - Solar astronomy (SunPy)\n", "\n", "It's also a useful \"transfereable\" skill, for those of you that end up moving out of Astronomy.\n", "\n", "Once you've got the hang of Python - and found out that many questions you have have already\n", "been answered on [Stack Overflow](http://stackoverflow.com/questions/tagged/python) - the\n", "trick is in finding the package you need, rather than writing your own code. **cough** **cough**\n", "[astropy](http://www.astropy.org/) **cough** **cough**\n", "\n", "You should also be aware of `R` - [The R project for Statistical Computing](http://www.r-project.org/) -\n", "which is not Python, but is important as Astronomy moves into the era of" ] }, { "cell_type": "code", "collapsed": false, "input": [ "Image(filename='big_data.png')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "png": 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HQMdGdQJQPdCQUMZ0DAguqI2pb3Y+LHNbQ4z4nuw7nH4r5ImgQFEaH1eTlsms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e0gb0QfFN9SqdTMzAx8fLPZrO8MLygoIL/GvJaVlQEEo7jH8bPb7XQDSL1LWkDorSMgoE4w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hPFPgkjmz9s7zvNHRUbREkCO2Zs4Gbr7hUHJIYkMT0nlI9E8qd06cFkJaIhTf1Yfr9Tot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\nrLW1lWpEgnuGP2DfK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"prompt_number": 4, "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "courtesy of the [internetz](https://medium.com/@wtrsld/big-data-made-me-do-it-5bfc3f46871c)." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Dy\u00b7nam\u00b7ic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " - always active or changing\n", "\n", " - having or showing a lot of energy\n", "\n", " - of or relating to energy, motion, or physical force\n", " \n", "At least that's what [Merriam-Webster](http://www.merriam-webster.com/dictionary/dynamic) says." ] }, { "cell_type": "code", "collapsed": false, "input": [ "a = 23\n", "print(\"The answer is \" + str(a))\n", "b = a + len(\"confused kitty is confused\")\n", "print(\"The answer is now \" + str(b))\n", "a = \"Goooooooooooooollllll\"\n", "print(\"The answer is now \" + a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "The answer is 23\n", "The answer is now 49\n", "The answer is now Goooooooooooooollllll\n" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Things to note:\n", "\n", " - you can define variables when you need them\n", " \n", " - you do not need to define the \"type\" of a variable\n", " \n", " - you can change what you store in a variable (one\n", " moment it's an integer, then it's a string)" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Strongly typed" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The operations you can do depend on the \"type\" of the variable (or constant)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "len(\"This is a string\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "16" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "len(23)" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "object of type 'int' has no len()", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m23\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: object of type 'int' has no len()" ] } ], "prompt_number": 3 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Aside" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These error messages look confusing at first, but you will quickly learn what\n", "to look for: ignore everything until the last line! \n", "\n", "On the last line you'll see \"`BlahError: hopefully something more informative than blah`\", which\n", "tells you the type of error (so in this case, it is a \"`TypeError`\"), and then\n", "an optional string giving more information, which in this case says that you have tried\n", "to use `len` on something that doesn't have a length." ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = { \"foo\": [1,2,3], \"bar\": \"star\" }\n", "x[\"foo\"]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ "[1, 2, 3]" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "len(x)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ "2" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that you can use functions on variables of different types; here we\n", "have used `len` on a string and a dictionary, which is a fancy-schmancy\n", "array which lets you access its elements with a key value that is not\n", "an integer. Dictionaries are also called associative arrays.\n", "For those that care, Python falls into the 0-index camp; that\n", "is lists indexes start at 0, rather than 1 for those of you \n", "fortunate enough to have to work with FORTRAN.\n", "\n", "However, you can't do math on a dictionary (`a += 1` is a short form for\n", "the mathematically-confusing statement `a = a + 1`):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x += 1" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "unsupported operand type(s) for +=: 'dict' and 'int'", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m+=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for +=: 'dict' and 'int'" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "And you can't do math on a string - that is, unlike some languages, a string is a string is a string:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "2 + \"2\"" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "unsupported operand type(s) for +: 'int' and 'str'", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;36m2\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m\"2\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have to *explicitly* convert between object types; here we use\n", "the `int` function to change a string into an integer." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "2 + int(\"2\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For those that are interested, `int` can fail:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "int(\"2.3\")" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "ValueError", "evalue": "invalid literal for int() with base 10: '2.3'", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"2.3\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mValueError\u001b[0m: invalid literal for int() with base 10: '2.3'" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "and you can actually \"catch\" this error and handle it (e.g. when you are writing a\n", "program and want to validate user input to make sure you don't end up wasting\n", "resources or doing the wrong thing):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "inval = raw_input(\"Think of a number: \")\n", "try:\n", " ival = int(inval)\n", " print(\"Yay: an integer {}\".format(ival))\n", "except ValueError:\n", " try:\n", " fval = float(inval)\n", " print(\"Oh, a real-valued number {}\".format(fval))\n", " except:\n", " print(\"Errrr: {}\".format(inval))\n", " raise ValueError(\"I did not expect to be sent '{}'\".format(inval))" ], "language": "python", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "stream": "stdout", "text": [ "Think of a number: 23.2\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "Oh, a real-valued number 23.2\n" ] } ], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The *indentation* (i.e. the spaces) are ***important***; they are what define the struture of the program (i.e. what parts\n", "run together).\n", "\n", "Here we create a function that wraps up the above code (except for the user-input part):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def convert_value(inval):\n", " \"\"\"Convert an input value (a string) into an integer or\n", " floating point value, returning the converted value. For\n", " other input a ValueError is raised.\"\"\"\n", " \n", " try:\n", " val = int(inval)\n", " print(\"Yay: an integer {}\".format(val))\n", " except ValueError:\n", " try:\n", " val = float(inval)\n", " print(\"Oh, a real-valued number {}\".format(val))\n", " except:\n", " print(\"Errrr: {}\".format(inval))\n", " raise ValueError(\"I did not expect to be sent '{}'\".format(inval))\n", " \n", " return val" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "which we can then call:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "convert_value(\"23\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Yay: an integer 23\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ "23" ] } ], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "convert_value(\"23.0\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Oh, a real-valued number 23.0\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 3, "text": [ "23.0" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "convert_value(\"23i\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Errrr: 23i\n" ] }, { "ename": "ValueError", "evalue": "I did not expect to be sent '23i'", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mconvert_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"23i\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32m\u001b[0m in \u001b[0;36mconvert_value\u001b[1;34m(inval)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 14\u001b[0m \u001b[1;32mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Errrr: {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 15\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"I did not expect to be sent '{}'\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mValueError\u001b[0m: I did not expect to be sent '23i'" ] } ], "prompt_number": 6 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Aside II" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the error message is longer, but actually contains some useful information,\n", "such as the line that raised the error. For more complicated cases - where an error is\n", "raised in a routine called by a routine called by a routine (yadda yadda) - you will\n", "see this path (at least up to a certain depth, where the system just stops and says \n", "that it is TMI)." ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Object-oriented Language" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Everything in Python is an object; above we have shown strings, integers, dictionaries, and arrays. Objects are\n", "mystical containers that provide storage - e.g. the value of the integer or the key and value pairs stored\n", "in dictionaries - and functionality (also known as methods). They are an important part of Python, but for\n", "now we just care about the fact that:\n", "\n", " * some concepts - such as length - can be applied to many different types of objects; for the common concepts\n", " this means we can say `len(x)` to get its length, whether `x` is a string, array, dictionary, or ...\n", " \n", " * for specialized concepts - such as the mean of an array - you will end up writing code that looks\n", " like `x.mean()`, where `x` is the variable." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Wait a minute; what's this all about?\n", "\n", "Python comes with a bunch of commands and types built in, but you are almost certain to need something else. In this case, I want to load in the basic numeric-processing package, numpy, which I do so with the `import` command. Since I am lazy, and don't like typing `numpy`, I use the `as np` suffix to tell Python that if I say `np.foo` then I am referring to `numpy.foo`. You will find that `np` is a common short-form for `numpy`!" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x = np.arange(1, 10, 2)\n", "print(x)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[1 3 5 7 9]\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also use the `import` command to load in just a specific symbol from a package, by saying\n", "\n", " from numpy import arange, mean\n", " y = arange(1, 10, 2)\n", " ym = mean(y)\n", "\n", "or even just load everything in with the syntax\n", "\n", " from numpy import *\n", " \n", "but this is *strongly* discouraged (it makes it hard to identify what a name, particularly\n", "common ones such as `mean`, means)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "type(x)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "numpy.ndarray" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can find out the methods that are defined for `x` by using the `dir()` command: " ] }, { "cell_type": "code", "collapsed": false, "input": [ "dir(x)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "['T',\n", " '__abs__',\n", " '__add__',\n", " '__and__',\n", " '__array__',\n", " '__array_finalize__',\n", " '__array_interface__',\n", " '__array_prepare__',\n", " '__array_priority__',\n", " '__array_struct__',\n", " '__array_wrap__',\n", " '__class__',\n", " '__contains__',\n", " '__copy__',\n", " '__deepcopy__',\n", " '__delattr__',\n", " '__delitem__',\n", " '__delslice__',\n", " '__div__',\n", " '__divmod__',\n", " '__doc__',\n", " '__eq__',\n", " '__float__',\n", " '__floordiv__',\n", " '__format__',\n", " '__ge__',\n", " '__getattribute__',\n", " '__getitem__',\n", " '__getslice__',\n", " '__gt__',\n", " '__hash__',\n", " '__hex__',\n", " '__iadd__',\n", " '__iand__',\n", " '__idiv__',\n", " '__ifloordiv__',\n", " '__ilshift__',\n", " '__imod__',\n", " '__imul__',\n", " '__index__',\n", " '__init__',\n", " '__int__',\n", " '__invert__',\n", " '__ior__',\n", " '__ipow__',\n", " '__irshift__',\n", " '__isub__',\n", " '__iter__',\n", " '__itruediv__',\n", " '__ixor__',\n", " '__le__',\n", " '__len__',\n", " '__long__',\n", " '__lshift__',\n", " '__lt__',\n", " '__mod__',\n", " '__mul__',\n", " '__ne__',\n", " '__neg__',\n", " '__new__',\n", " '__nonzero__',\n", " '__oct__',\n", " '__or__',\n", " '__pos__',\n", " '__pow__',\n", " '__radd__',\n", " '__rand__',\n", " '__rdiv__',\n", " '__rdivmod__',\n", " '__reduce__',\n", " '__reduce_ex__',\n", " '__repr__',\n", " '__rfloordiv__',\n", " '__rlshift__',\n", " '__rmod__',\n", " '__rmul__',\n", " '__ror__',\n", " '__rpow__',\n", " '__rrshift__',\n", " '__rshift__',\n", " '__rsub__',\n", " '__rtruediv__',\n", " '__rxor__',\n", " '__setattr__',\n", " '__setitem__',\n", " '__setslice__',\n", " '__setstate__',\n", " '__sizeof__',\n", " '__str__',\n", " '__sub__',\n", " '__subclasshook__',\n", " '__truediv__',\n", " '__xor__',\n", " 'all',\n", " 'any',\n", " 'argmax',\n", " 'argmin',\n", " 'argpartition',\n", " 'argsort',\n", " 'astype',\n", " 'base',\n", " 'byteswap',\n", " 'choose',\n", " 'clip',\n", " 'compress',\n", " 'conj',\n", " 'conjugate',\n", " 'copy',\n", " 'ctypes',\n", " 'cumprod',\n", " 'cumsum',\n", " 'data',\n", " 'diagonal',\n", " 'dot',\n", " 'dtype',\n", " 'dump',\n", " 'dumps',\n", " 'fill',\n", " 'flags',\n", " 'flat',\n", " 'flatten',\n", " 'getfield',\n", " 'imag',\n", " 'item',\n", " 'itemset',\n", " 'itemsize',\n", " 'max',\n", " 'mean',\n", " 'min',\n", " 'nbytes',\n", " 'ndim',\n", " 'newbyteorder',\n", " 'nonzero',\n", " 'partition',\n", " 'prod',\n", " 'ptp',\n", " 'put',\n", " 'ravel',\n", " 'real',\n", " 'repeat',\n", " 'reshape',\n", " 'resize',\n", " 'round',\n", " 'searchsorted',\n", " 'setfield',\n", " 'setflags',\n", " 'shape',\n", " 'size',\n", " 'sort',\n", " 'squeeze',\n", " 'std',\n", " 'strides',\n", " 'sum',\n", " 'swapaxes',\n", " 'take',\n", " 'tofile',\n", " 'tolist',\n", " 'tostring',\n", " 'trace',\n", " 'transpose',\n", " 'var',\n", " 'view']" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we call the mean method, which - in this case, calculates the mean of all the values of the array - and returns it. Since I am using the IPython interactive environment, the last return value in a block is automatically displayed:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "x.mean()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ "5.0" ] } ], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In a program (or script), you will want to say something like" ] }, { "cell_type": "code", "collapsed": false, "input": [ "m = x.mean()\n", "print(\"The mean is {0}\".format(m))\n", "print(\" or {:.3f}\".format(m))\n", "print(\" or {:13.6e}\".format(m))\n", "print(\" or even %g\" % (m,))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "The mean is 5.0\n", " or 5.000\n", " or 5.000000e+00\n", " or even 5\n" ] } ], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "# Oh, don't forget that a # character starts a comment,\n", "print(\"Unless # it is part of a string\")\n", "print('and that strings start and end with either a single or double quote') # this is back to being a comment" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Unless # it is part of a string\n", "and that strings start and end with either a single or double quote\n" ] } ], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "\"\"\"Although you can also make really long \"comments\"\n", "using the triple-quote, as shown here.\n", "\n", "This is normally used for providing in-line documentation to\n", "your code, but can be useful to quickly comment out a \n", "region of recalcitrant code, since it creates a string\n", "which is then ignored by the program.\n", "\"\"\"" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "'Although you can also make really long \"comments\"\\nusing the triple-quote, as shown here.\\n\\nThis is normally used for providing in-line documentation to\\nyour code, but can be useful to quickly comment out a \\nregion of recalcitrant code, since it creates a string\\nwhich is then ignored by the program.\\n'" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "# Let's do something\n", "import matplotlib.pyplot as plt\n", "x = np.linspace(0, 10, 45) # a one-dimensional array of values\n", "y = np.sin(x) * np.exp(-x/5) # this calculation is done on each element of the array" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 19, "text": [ "[]" ] } ], "prompt_number": 19 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Oh, that isn't very informative; I need to \"show\" the plot." ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.show()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can get the image to appear inline in the notebook with some IPython magic:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 22, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(x, y, 'r--')\n", "plt.xlabel(\"x\")\n", "plt.ylabel(r\"$sin(x) * e^{-x/5}$\") # use LaTeX; to avoid potential confusion with \\ characters, use r\"...\"!" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 25, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 25 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Help" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From IPython - whether run from the command line or using this fancy notebook interface - you\n", "can use `help`:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "help(np.arange)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Help on built-in function arange in module numpy.core.multiarray:\n", "\n", "arange(...)\n", " arange([start,] stop[, step,], dtype=None)\n", " \n", " Return evenly spaced values within a given interval.\n", " \n", " Values are generated within the half-open interval ``[start, stop)``\n", " (in other words, the interval including `start` but excluding `stop`).\n", " For integer arguments the function is equivalent to the Python built-in\n", " `range `_ function,\n", " but returns an ndarray rather than a list.\n", " \n", " When using a non-integer step, such as 0.1, the results will often not\n", " be consistent. It is better to use ``linspace`` for these cases.\n", " \n", " Parameters\n", " ----------\n", " start : number, optional\n", " Start of interval. The interval includes this value. The default\n", " start value is 0.\n", " stop : number\n", " End of interval. The interval does not include this value, except\n", " in some cases where `step` is not an integer and floating point\n", " round-off affects the length of `out`.\n", " step : number, optional\n", " Spacing between values. For any output `out`, this is the distance\n", " between two adjacent values, ``out[i+1] - out[i]``. The default\n", " step size is 1. If `step` is specified, `start` must also be given.\n", " dtype : dtype\n", " The type of the output array. If `dtype` is not given, infer the data\n", " type from the other input arguments.\n", " \n", " Returns\n", " -------\n", " arange : ndarray\n", " Array of evenly spaced values.\n", " \n", " For floating point arguments, the length of the result is\n", " ``ceil((stop - start)/step)``. Because of floating point overflow,\n", " this rule may result in the last element of `out` being greater\n", " than `stop`.\n", " \n", " See Also\n", " --------\n", " linspace : Evenly spaced numbers with careful handling of endpoints.\n", " ogrid: Arrays of evenly spaced numbers in N-dimensions.\n", " mgrid: Grid-shaped arrays of evenly spaced numbers in N-dimensions.\n", " \n", " Examples\n", " --------\n", " >>> np.arange(3)\n", " array([0, 1, 2])\n", " >>> np.arange(3.0)\n", " array([ 0., 1., 2.])\n", " >>> np.arange(3,7)\n", " array([3, 4, 5, 6])\n", " >>> np.arange(3,7,2)\n", " array([3, 5])\n", "\n" ] } ], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following will list all symbols that contain `lin` in the `np` package; since\n", "this is a notebook this appears as a nice little separate frame, listing\n", "\n", " np.linalg\n", " np.linspace" ] }, { "cell_type": "code", "collapsed": false, "input": [ "np.*lin*?" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 34 }, { "cell_type": "markdown", "metadata": {}, "source": [ "and don't forget tab completion:\n", "\n", " np.lin\n", " \n", "will give you the option of selecting either `linalg` or `linspace`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you remember the function we created earlier, we can ask for help on that too:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "help(convert_value)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Help on function convert_value in module __main__:\n", "\n", "convert_value(inval)\n", " Convert an input value (a string) into an integer or\n", " floating point value, returning the converted value. For\n", " other input a ValueError is raised.\n", "\n" ] } ], "prompt_number": 8 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Symbols" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Symbols - that is variables and functions - can contain alpha-numeric characters, with a few restrictions, such\n", "as no . \" or ' and they can't start with a number. That is\n", "\n", " - Good\n", " \n", " - `foo`\n", " - `bar`\n", " - `fooBar`\n", " - `foo_bar`\n", " - `foo1`\n", " - `foo1bar`\n", " - `_foo`\n", " - `__foo`\n", " - `__foo__` \n", "\n", " - Bad\n", " \n", " - `1foo`\n", " - `foo.bar` (this actually refers to bar in the foo module)\n", " - `123`\n", " \n", "Symbols that begin with a capital letter refer to a class; that is the name of a type.\n", "\n", "There is an *informal* convention that says that symbols beginning with a single `_` character are\n", "not part of the \"main\" interface of a module; you are free to use them but take some care. Symbols beginning\n", "with two `__` characters should not be used unless you know what you are doing. " ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "What about ()?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Python uses \"()\" to indicate arguments to a function - at least it does when\n", "it's straight after a \"name\", that is, something like `mean`, `bob5`, or `temp`.\n", "\n", "Confusingly enough - although it's *very useful* - is that you can refer to a\n", "function without the brackets; they can even be treated as variables and passed\n", "around.\n", "\n", "So, how do you know if you need brackets (function) or not (symbol)?" ] }, { "cell_type": "code", "collapsed": false, "input": [ "np.mean" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 7, "text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "np.pi" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 9, "text": [ "3.141592653589793" ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "np.mean()" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "mean() takes at least 1 argument (0 given)", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: mean() takes at least 1 argument (0 given)" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "np.pi()" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "'float' object is not callable", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: 'float' object is not callable" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll see this error message again...\n", "\n", "If you are really stuck, then you could read the documentation..." ] }, { "cell_type": "code", "collapsed": false, "input": [ "help(np.mean)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Help on function mean in module numpy.core.fromnumeric:\n", "\n", "mean(a, axis=None, dtype=None, out=None, keepdims=False)\n", " Compute the arithmetic mean along the specified axis.\n", " \n", " Returns the average of the array elements. The average is taken over\n", " the flattened array by default, otherwise over the specified axis.\n", " `float64` intermediate and return values are used for integer inputs.\n", " \n", " Parameters\n", " ----------\n", " a : array_like\n", " Array containing numbers whose mean is desired. If `a` is not an\n", " array, a conversion is attempted.\n", " axis : int, optional\n", " Axis along which the means are computed. The default is to compute\n", " the mean of the flattened array.\n", " dtype : data-type, optional\n", " Type to use in computing the mean. For integer inputs, the default\n", " is `float64`; for floating point inputs, it is the same as the\n", " input dtype.\n", " out : ndarray, optional\n", " Alternate output array in which to place the result. The default\n", " is ``None``; if provided, it must have the same shape as the\n", " expected output, but the type will be cast if necessary.\n", " See `doc.ufuncs` for details.\n", " keepdims : bool, optional\n", " If this is set to True, the axes which are reduced are left\n", " in the result as dimensions with size one. With this option,\n", " the result will broadcast correctly against the original `arr`.\n", " \n", " Returns\n", " -------\n", " m : ndarray, see dtype parameter above\n", " If `out=None`, returns a new array containing the mean values,\n", " otherwise a reference to the output array is returned.\n", " \n", " See Also\n", " --------\n", " average : Weighted average\n", " std, var, nanmean, nanstd, nanvar\n", " \n", " Notes\n", " -----\n", " The arithmetic mean is the sum of the elements along the axis divided\n", " by the number of elements.\n", " \n", " Note that for floating-point input, the mean is computed using the\n", " same precision the input has. Depending on the input data, this can\n", " cause the results to be inaccurate, especially for `float32` (see\n", " example below). Specifying a higher-precision accumulator using the\n", " `dtype` keyword can alleviate this issue.\n", " \n", " Examples\n", " --------\n", " >>> a = np.array([[1, 2], [3, 4]])\n", " >>> np.mean(a)\n", " 2.5\n", " >>> np.mean(a, axis=0)\n", " array([ 2., 3.])\n", " >>> np.mean(a, axis=1)\n", " array([ 1.5, 3.5])\n", " \n", " In single precision, `mean` can be inaccurate:\n", " \n", " >>> a = np.zeros((2, 512*512), dtype=np.float32)\n", " >>> a[0, :] = 1.0\n", " >>> a[1, :] = 0.1\n", " >>> np.mean(a)\n", " 0.546875\n", " \n", " Computing the mean in float64 is more accurate:\n", " \n", " >>> np.mean(a, dtype=np.float64)\n", " 0.55000000074505806\n", "\n" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here's an (admittedly very simple) example of treating a function as a variable (in this case `a`):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "a = np.mean\n", "print(x[0:5])\n", "print(np.mean(x))\n", "print(a(x))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[ 0. 0.22727273 0.45454545 0.68181818 0.90909091]\n", "5.0\n", "5.0\n" ] } ], "prompt_number": 14 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Beware the Ides of March" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or, at least, redefining symbols:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "help(range)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Help on built-in function range in module __builtin__:\n", "\n", "range(...)\n", " range(stop) -> list of integers\n", " range(start, stop[, step]) -> list of integers\n", " \n", " Return a list containing an arithmetic progression of integers.\n", " range(i, j) returns [i, i+1, i+2, ..., j-1]; start (!) defaults to 0.\n", " When step is given, it specifies the increment (or decrement).\n", " For example, range(4) returns [0, 1, 2, 3]. The end point is omitted!\n", " These are exactly the valid indices for a list of 4 elements.\n", "\n" ] } ], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "range(1, 10, 2)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 17, "text": [ "[1, 3, 5, 7, 9]" ] } ], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": {}, "source": [ "However, you can redefine it by using the name to the left of the equals sign (if your editor does syntax highlighting,\n", "as is shown here, where the `range` symbol is colored green, then you get a visual indication you've done something\n", "potentially catastrophic, but Python lets you do this if you want):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "range = 23.0" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "This can lead to confusing error messages, such as seeing `'float' object is not callable` and\n", "wondering just what on Earth is going on! It's one of the reasons why we suggest not\n", "to use the `from blah import *` syntax if you can help it (although, to be honest, that\n", "wouldn't help in this particular case since `range` is a built-in Python function, but I've\n", "spent more-than-enough time re-defining `range` that I thought I'd save you the trouble)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "range(1, 10, 2)" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "'float' object is not callable", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: 'float' object is not callable" ] } ], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the help message has changed; it now describes the help of floating-point\n", "objects (or whatever the value stored in range is):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "help(range)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Help on float object:\n", "\n", "class float(object)\n", " | float(x) -> floating point number\n", " | \n", " | Convert a string or number to a floating point number, if possible.\n", " | \n", " | Methods defined here:\n", " | \n", " | __abs__(...)\n", " | x.__abs__() <==> abs(x)\n", " | \n", " | __add__(...)\n", " | x.__add__(y) <==> x+y\n", " | \n", " | __coerce__(...)\n", " | x.__coerce__(y) <==> coerce(x, y)\n", " | \n", " | __div__(...)\n", " | x.__div__(y) <==> x/y\n", " | \n", " | __divmod__(...)\n", " | x.__divmod__(y) <==> divmod(x, y)\n", " | \n", " | __eq__(...)\n", " | x.__eq__(y) <==> x==y\n", " | \n", " | __float__(...)\n", " | x.__float__() <==> float(x)\n", " | \n", " | __floordiv__(...)\n", " | x.__floordiv__(y) <==> x//y\n", " | \n", " | __format__(...)\n", " | float.__format__(format_spec) -> string\n", " | \n", " | Formats the float according to format_spec.\n", " | \n", " | __ge__(...)\n", " | x.__ge__(y) <==> x>=y\n", " | \n", " | __getattribute__(...)\n", " | x.__getattribute__('name') <==> x.name\n", " | \n", " | __getformat__(...)\n", " | float.__getformat__(typestr) -> string\n", " | \n", " | You probably don't want to use this function. It exists mainly to be\n", " | used in Python's test suite.\n", " | \n", " | typestr must be 'double' or 'float'. This function returns whichever of\n", " | 'unknown', 'IEEE, big-endian' or 'IEEE, little-endian' best describes the\n", " | format of floating point numbers used by the C type named by typestr.\n", " | \n", " | __getnewargs__(...)\n", " | \n", " | __gt__(...)\n", " | x.__gt__(y) <==> x>y\n", " | \n", " | __hash__(...)\n", " | x.__hash__() <==> hash(x)\n", " | \n", " | __int__(...)\n", " | x.__int__() <==> int(x)\n", " | \n", " | __le__(...)\n", " | x.__le__(y) <==> x<=y\n", " | \n", " | __long__(...)\n", " | x.__long__() <==> long(x)\n", " | \n", " | __lt__(...)\n", " | x.__lt__(y) <==> x x%y\n", " | \n", " | __mul__(...)\n", " | x.__mul__(y) <==> x*y\n", " | \n", " | __ne__(...)\n", " | x.__ne__(y) <==> x!=y\n", " | \n", " | __neg__(...)\n", " | x.__neg__() <==> -x\n", " | \n", " | __nonzero__(...)\n", " | x.__nonzero__() <==> x != 0\n", " | \n", " | __pos__(...)\n", " | x.__pos__() <==> +x\n", " | \n", " | __pow__(...)\n", " | x.__pow__(y[, z]) <==> pow(x, y[, z])\n", " | \n", " | __radd__(...)\n", " | x.__radd__(y) <==> y+x\n", " | \n", " | __rdiv__(...)\n", " | x.__rdiv__(y) <==> y/x\n", " | \n", " | __rdivmod__(...)\n", " | x.__rdivmod__(y) <==> divmod(y, x)\n", " | \n", " | __repr__(...)\n", " | x.__repr__() <==> repr(x)\n", " | \n", " | __rfloordiv__(...)\n", " | x.__rfloordiv__(y) <==> y//x\n", " | \n", " | __rmod__(...)\n", " | x.__rmod__(y) <==> y%x\n", " | \n", " | __rmul__(...)\n", " | x.__rmul__(y) <==> y*x\n", " | \n", " | __rpow__(...)\n", " | y.__rpow__(x[, z]) <==> pow(x, y[, z])\n", " | \n", " | __rsub__(...)\n", " | x.__rsub__(y) <==> y-x\n", " | \n", " | __rtruediv__(...)\n", " | x.__rtruediv__(y) <==> y/x\n", " | \n", " | __setformat__(...)\n", " | float.__setformat__(typestr, fmt) -> None\n", " | \n", " | You probably don't want to use this function. It exists mainly to be\n", " | used in Python's test suite.\n", " | \n", " | typestr must be 'double' or 'float'. fmt must be one of 'unknown',\n", " | 'IEEE, big-endian' or 'IEEE, little-endian', and in addition can only be\n", " | one of the latter two if it appears to match the underlying C reality.\n", " | \n", " | Override the automatic determination of C-level floating point type.\n", " | This affects how floats are converted to and from binary strings.\n", " | \n", " | __str__(...)\n", " | x.__str__() <==> str(x)\n", " | \n", " | __sub__(...)\n", " | x.__sub__(y) <==> x-y\n", " | \n", " | __truediv__(...)\n", " | x.__truediv__(y) <==> x/y\n", " | \n", " | __trunc__(...)\n", " | Return the Integral closest to x between 0 and x.\n", " | \n", " | as_integer_ratio(...)\n", " | float.as_integer_ratio() -> (int, int)\n", " | \n", " | Return a pair of integers, whose ratio is exactly equal to the original\n", " | float and with a positive denominator.\n", " | Raise OverflowError on infinities and a ValueError on NaNs.\n", " | \n", " | >>> (10.0).as_integer_ratio()\n", " | (10, 1)\n", " | >>> (0.0).as_integer_ratio()\n", " | (0, 1)\n", " | >>> (-.25).as_integer_ratio()\n", " | (-1, 4)\n", " | \n", " | conjugate(...)\n", " | Return self, the complex conjugate of any float.\n", " | \n", " | fromhex(...)\n", " | float.fromhex(string) -> float\n", " | \n", " | Create a floating-point number from a hexadecimal string.\n", " | >>> float.fromhex('0x1.ffffp10')\n", " | 2047.984375\n", " | >>> float.fromhex('-0x1p-1074')\n", " | -4.9406564584124654e-324\n", " | \n", " | hex(...)\n", " | float.hex() -> string\n", " | \n", " | Return a hexadecimal representation of a floating-point number.\n", " | >>> (-0.1).hex()\n", " | '-0x1.999999999999ap-4'\n", " | >>> 3.14159.hex()\n", " | '0x1.921f9f01b866ep+1'\n", " | \n", " | is_integer(...)\n", " | Return True if the float is an integer.\n", " | \n", " | ----------------------------------------------------------------------\n", " | Data descriptors defined here:\n", " | \n", " | imag\n", " | the imaginary part of a complex number\n", " | \n", " | real\n", " | the real part of a complex number\n", " | \n", " | ----------------------------------------------------------------------\n", " | Data and other attributes defined here:\n", " | \n", " | __new__ = \n", " | T.__new__(S, ...) -> a new object with type S, a subtype of T\n", "\n" ] } ], "prompt_number": 19 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "What can we store?" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Simple scalar types\n", "a = 23 # integer\n", "a = -2.3e-43 # floating-point\n", "a = 4.2+2.3j # complex\n", "\n", "a = \"A string\" # strings\n", "a = True # booleans, False is also acceptable\n", "\n", "a = None # None is used to indicate \"does not exist\"/\"invalid\"/\"undefined\"/\"missing\"" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "# Containers\n", "a = [1,2,3,\"foo\",[1,2]] # list (elements do not need to have the same type)\n", "a = { \"foo\": 1, \"bar\": { \"foobar\": True }} # dictionary\n", "a = (True, 23.4, \"false\") # tuples (like lists but are immutable)\n", "\n", "# Access elements using [...] syntax\n", "a = [1,2,3]; print(a[1]); # the first element of a list is numbered 0\n", "a = { \"foo\": 1 }; print(a[\"foo\"])\n", "a = (True, 23.4, \"false\"); print(a[0]) # again, first element is numbered 0\n", "\n", "print(\"-----\")\n", "\n", "# We can change elements in a list\n", "a = [1,2,3]\n", "print(a)\n", "a[1] = 4\n", "print(a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2\n", "1\n", "True\n", "-----\n", "[1, 2, 3]\n", "[1, 4, 3]\n" ] } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "# but not in tuples\n", "a = (1, 2, 3)\n", "print(a)\n", "a[1] = 4" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "(1, 2, 3)\n" ] }, { "ename": "TypeError", "evalue": "'tuple' object does not support item assignment", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m4\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `numpy` module extends Python by providing \"arrays\"; these are similar in feel to Python lists but\n", "are much more efficient (quicker, use less memory) because they are not as flexible (each element has to have\n", "the same data type)." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# np.arange is like Python's range\n", "a = np.arange(12)\n", "print(a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[ 0 1 2 3 4 5 6 7 8 9 10 11]\n" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "# The resize method works \"in place\" (i.e. changes the object it is called on)\n", "a.resize(3,4)\n", "print(a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[[ 0 1 2 3]\n", " [ 4 5 6 7]\n", " [ 8 9 10 11]]\n" ] } ], "prompt_number": 28 }, { "cell_type": "code", "collapsed": false, "input": [ "# The reshape method creates a copy of the input array\n", "b = np.arange(10, 34, 2)\n", "c = b.reshape(3,4)\n", "print(b)\n", "print(c)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[10 12 14 16 18 20 22 24 26 28 30 32]\n", "[[10 12 14 16]\n", " [18 20 22 24]\n", " [26 28 30 32]]\n" ] } ], "prompt_number": 35 }, { "cell_type": "code", "collapsed": false, "input": [ "# By default many routines will \"ignore\" the dimensions of the data\n", "print(\"b.sum = {}\".format(b.sum()))\n", "print(\"c.sum = {}\".format(c.sum()))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "b.sum = 252\n", "c.sum = 252\n" ] } ], "prompt_number": 36 }, { "cell_type": "code", "collapsed": false, "input": [ "# Some will work as \"reducers\" - i.e. here we sum along\n", "# one axis, so converting a 2D array into a 1D one.\n", "print(\"c.sum[axis=0] = {}\".format(c.sum(axis=0)))\n", "print(\"c.sum[axis=1] = {}\".format(c.sum(axis=1)))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "c.sum[axis=0] = [54 60 66 72]\n", "c.sum[axis=1] = [ 52 84 116]\n" ] } ], "prompt_number": 41 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "I'm sold" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can start an interactive Python session with\n", "\n", " ipython\n", " \n", "or, to run in a notebook (browser)\n", "\n", " ipython notebook\n", " \n", "assuming you have a Python installation available, such as that\n", "provided by [Anaconda](https://store.continuum.io/cshop/anaconda/)." ] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }