{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Aliasing" ] }, { "cell_type": "code", "collapsed": false, "input": [ "lista = [4, 2, 1, 3]\n", "listb = lista\n", "lista.sort()\n", "print lista\n", "print listb" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[1, 2, 3, 4]\n", "[1, 2, 3, 4]\n" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "print id(lista)\n", "print id(listb)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "140157595946952\n", "140157595946952\n" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "\n", "def get_sorted_cumsum(numbers):\n", " numbers.sort()\n", " cum_sum = np.cumsum(numbers)\n", " return cum_sum\n", "\n", "mynumbers = [5, 2, 1, 3, 3, 2, 5, 4, 1, 1]\n", "sorted_cumsum = get_sorted_cumsum(mynumbers)\n", "print mynumbers" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[1, 1, 1, 2, 2, 3, 3, 4, 5, 5]\n" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "lista = [4, 2, 1, 3]\n", "listb = lista[:]\n", "lista.sort()\n", "print lista\n", "print listb" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[1, 2, 3, 4]\n", "[4, 2, 1, 3]\n" ] } ], "prompt_number": 7 } ], "metadata": {} } ] }