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Advanced Python Training at LinkedIn -- Feb 26 - Mar 1, 2014
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day1.ipynb
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day2.ipynb
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day3.ipynb
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Advanced Python Training - Day 3\n",
"Linked In<br/>\n",
"Feb 26 - Mar 1, 2014<br/>\n",
"<a href=\"http://anandology.com\">Anand Chitipothu</a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Iterators and Generators"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for i in [1, 2, 3, 4]:\n",
" print i"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n",
"2\n",
"3\n",
"4\n"
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for c in \"python\":\n",
" print c"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p\n",
"y\n",
"t\n",
"h\n",
"o\n",
"n\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for x in (1, 2, 3):\n",
" print x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n",
"2\n",
"3\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for k in {\"x\": 1, \"y\": 2}:\n",
" print k"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"y\n",
"x\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file numbers.txt\n",
"one\n",
"two\n",
"three"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Writing numbers.txt\n"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for x in open(\"numbers.txt\"):\n",
" print x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"one\n",
"\n",
"two\n",
"\n",
"three\n"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print \"a\""
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"a\n"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print \"1\""
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print repr(\"1\"), repr(1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"'1' 1\n"
]
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print str(\"1\"), str(1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1 1\n"
]
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Many built-in functions work with any type of sequence."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"max([\"a\", \"b\", \"c\"])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
"'c'"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"max(open(\"numbers.txt\"))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
"'two\\n'"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"max(open(\"numbers.txt\"), key=len)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"'three'"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\"-\".join([\"a\", \"b\"])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"'a-b'"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\"-\".join({\"x\": 1, \"y\": 2})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"'y-x'"
]
}
],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The iteration protocol"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x = iter([1, 2, 3])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"<listiterator at 0x10279a8d0>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": [
"1"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": [
"2"
]
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"3"
]
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-22-e05f366da090>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mStopIteration\u001b[0m: "
]
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"xrange(10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": [
"xrange(10)"
]
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for i in xrange(3):\n",
" print i"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"1\n",
"2\n"
]
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"range(3)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": [
"[0, 1, 2]"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x = range(3)\n",
"x.append(4)\n",
"print x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[0, 1, 2, 4]\n"
]
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x2 = xrange(3)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print x2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"xrange(3)\n"
]
}
],
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"How for loop is implemented?\n",
"\n",
" for a in x:\n",
" print a\n",
" \n",
"What is equvilant while loop of the above?\n",
"\n",
"\n",
" _it = iter(x)\n",
" while True:\n",
" try:\n",
" a = _it.next()\n",
" except StopIteration:\n",
" break\n",
" print a\n",
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Example: An Iterable class**"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"class Foo:\n",
" pass\n",
"\n",
"for a in Foo():\n",
" print a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "iteration over non-sequence",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-30-9311efd7cd5c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mFoo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;32mprint\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: iteration over non-sequence"
]
}
],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"class Foo:\n",
" def __iter__(self):\n",
" \"\"\"The presence of __iter__ method makes \n",
" a class iterable.\n",
" This functon should return an iterator.\n",
" \"\"\"\n",
" # Return a iterator from a list\n",
" return iter([1, 2, 3])\n",
"\n",
"for a in Foo():\n",
" print a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n",
"2\n",
"3\n"
]
}
],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Iterable is an object that has `__iter__` method.\n",
"* Iterator is an object that has `next` method."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"class yrange_iterator:\n",
" def __init__(self, n):\n",
" self.n = n\n",
" self.i = 0\n",
" \n",
" def __iter__(self):\n",
" return self\n",
" \n",
" def next(self):\n",
" i = self.i\n",
" if i < self.n:\n",
" self.i += 1\n",
" return i\n",
" else:\n",
" raise StopIteration()\n",
" \n",
"yit = yrange_iterator(3)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 38
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"yit.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 39,
"text": [
"0"
]
}
],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"yit.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 40,
"text": [
"1"
]
}
],
"prompt_number": 40
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"yit.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 41,
"text": [
"2"
]
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"yit.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-42-f72863aefda0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0myit\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m<ipython-input-38-f1e4a0643282>\u001b[0m in \u001b[0;36mnext\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0myit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0myrange_iterator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mStopIteration\u001b[0m: "
]
}
],
"prompt_number": 42
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"yit = yrange_iterator(3)\n",
"for i in yit:\n",
" print i"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"1\n",
"2\n"
]
}
],
"prompt_number": 43
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Implement an iterator `countdown(n)` to start counting from `n` down to `1`.\n",
"\n",
" >>> for i in countdown(5):\n",
" ... print i\n",
" ...\n",
" 5\n",
" 4\n",
" 3\n",
" 2\n",
" 1"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file yrange.py\n",
"\n",
"class yrange_iterator:\n",
" def __init__(self, n):\n",
" self.n = n\n",
" self.i = 0\n",
" \n",
" def __iter__(self):\n",
" print \"yrange_iterator.__iter__\" \n",
" return self\n",
" \n",
" def next(self):\n",
" print \"yrange_iterator.next\" \n",
" i = self.i\n",
" if i < self.n:\n",
" self.i += 1\n",
" return i\n",
" else:\n",
" raise StopIteration()\n",
"\n",
"class yrange:\n",
" def __init__(self, n):\n",
" self.n = n\n",
" \n",
" def __iter__(self):\n",
" print \"yrange.__iter__\"\n",
" return yrange_iterator(self.n)\n",
" \n",
"y = yrange(3) \n",
"for i in y:\n",
" print i\n",
"\n",
"for i in y:\n",
" print i\n",
" "
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting yrange.py\n"
]
}
],
"prompt_number": 46
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"!python yrange.py"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"yrange.__iter__\r\n",
"yrange_iterator.next\r\n",
"0\r\n",
"yrange_iterator.next\r\n",
"1\r\n",
"yrange_iterator.next\r\n",
"2\r\n",
"yrange_iterator.next\r\n",
"yrange.__iter__\r\n",
"yrange_iterator.next\r\n",
"0\r\n",
"yrange_iterator.next\r\n",
"1\r\n",
"yrange_iterator.next\r\n",
"2\r\n",
"yrange_iterator.next\r\n"
]
}
],
"prompt_number": 47
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generators"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def squares(x):\n",
" for a in x:\n",
" yield a*a\n",
" \n",
"for a in squares([1, 2, 3]):\n",
" print a"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n",
"4\n",
"9\n"
]
}
],
"prompt_number": 49
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"y = squares([1, 2, 3])\n",
"print y.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1\n"
]
}
],
"prompt_number": 51
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print y.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"4\n"
]
}
],
"prompt_number": 52
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print y.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"9\n"
]
}
],
"prompt_number": 53
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print y.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-54-057495049b45>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mStopIteration\u001b[0m: "
]
}
],
"prompt_number": 54
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def f():\n",
" print \"f is called\"\n",
" yield 1\n",
" print \"after yield 1\"\n",
" yield 2\n",
" print \"after yield 2\""
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 55
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x = f()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 56
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 57,
"text": [
"<generator object f at 0x103565d70>"
]
}
],
"prompt_number": 57
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"f is called\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 58,
"text": [
"1"
]
}
],
"prompt_number": 58
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"after yield 1\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 59,
"text": [
"2"
]
}
],
"prompt_number": 59
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "StopIteration",
"evalue": "",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-60-e05f366da090>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mStopIteration\u001b[0m: "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"after yield 2\n"
]
}
],
"prompt_number": 60
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Implement `countdown` as a generator."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Implement a function `to_int` that takes a sequence of numbers and converts each value to integer and return them as an iterator.\n",
"\n",
" >>> sum(to_int([\"1\", \"2\", \"3\", \"4\"]))\n",
" 10\n",
" >>> list(to_int([\"1\", \"2\", \"3\", \"4\"]))\n",
" [1, 2, 3, 4]"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file numbers.txt\n",
"1\n",
"2\n",
"3\n",
"4\n",
"5"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting numbers.txt\n"
]
}
],
"prompt_number": 61
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" >>> sum(to_int(open(\"numbers.txt\")))\n",
" 15"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `iterjoin` to join two iterators. \n",
"\n",
" >>> it1 = iter([1, 2, 3])\n",
" >>> it2 = iter([4, 5])\n",
" >>> list(iterjoin(it1, it2))\n",
" [1, 2, 3, 4, 5]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `iterappend` to append a value at the end of an iterator.\n",
"\n",
" >>> it1 = iter([1, 2, 3])\n",
" >>> list(iterappend(it1, 4))\n",
" [1, 2, 3, 4]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a fucntion `get_paragraphs` that takes an iter of lines and returns an iter of paragraphs.\n",
"\n",
"You can use http://anandology.com/tmp/sachin.txt as an sample input.\n",
"\n",
" >>> len(list(get_paragraphs(open(\"sachin.txt\"))))\n",
" 13\n",
" >>> p1 = get_paragraphs(open(\"sachin.txt\")).next()\n",
" >>> len(p1)\n",
" 238\n",
" >>> p1[:10]\n",
" 'Sachin Ten'\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file paras.txt\n",
"one\n",
"two\n",
"\n",
"three\n",
"four\n",
"five\n",
"\n",
"six"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Writing paras.txt\n"
]
}
],
"prompt_number": 62
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" >>> for p in get_paragraphs(open(\"paras.txt\")):\n",
" ... print repr(p)\n",
" ...\n",
" 'one\\ntwo\\n'\n",
" 'three\\nfour\\nfive\\n'\n",
" 'six\\n'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The input the function need not be a file. For example, the following \n",
"should also work fine.\n",
"\n",
" def upper(lines):\n",
" for line in lines:\n",
" yield line.upper()\n",
" \n",
" paras = get_paragraphs(upper(open(\"paras.txt\")))\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_paragraphs(lines):\n",
" para = ''\n",
" for line in lines:\n",
" if not line.strip():\n",
" yield para\n",
" para = ''\n",
" else:\n",
" para = para + line\n",
" yield para\n",
" \n",
"\n",
"for p in get_paragraphs(open(\"paras.txt\")):\n",
" print repr(p)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"'one\\ntwo\\n'\n",
"'three\\nfour\\nfive\\n'\n",
"'six'\n"
]
}
],
"prompt_number": 63
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generator Expressions"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"[x*x for x in range(10)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 65,
"text": [
"[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]"
]
}
],
"prompt_number": 65
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"squares = (x*x for x in range(10))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 66
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"squares"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 67,
"text": [
"<generator object <genexpr> at 0x1037021e0>"
]
}
],
"prompt_number": 67
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sum((x*x for x in range(1000000)))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 69,
"text": [
"333332833333500000"
]
}
],
"prompt_number": 69
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sum(x*x for x in range(1000000))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 70,
"text": [
"333332833333500000"
]
}
],
"prompt_number": 70
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def squares(numbers):\n",
" return (n*n for n in numbers)\n",
"\n",
"print list(squares(range(10)))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]\n"
]
}
],
"prompt_number": 71
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Implement a function `evens` that takes a sequence of numbers as arguemnt and returns an iterator over the even numbers from it.\n",
"\n",
" >>> list(evens(range(10)))\n",
" [0, 2, 4, 6, 8]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `count` to count the number of elements in an iterator/iterable.\n",
"\n",
" >>> count([1, 2, 3])\n",
" 3\n",
" >>> count(x*x for x in range(10))\n",
" 10"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `linecount`, that takes a filename as argument and returns the number of lines in that file."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `read_words` that takes a sequence of lines as argument and returns an iterator over words."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `wordcount`, that takes a filename as argument and returns the number of words in that file."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def count(it):\n",
" result = 0\n",
" for x in it:\n",
" result += 1\n",
" return result\n",
"\n",
"print count([1, 2, 3])\n",
"print count(x*x for x in range(100))\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"3\n",
"100\n"
]
}
],
"prompt_number": 72
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def count1(it):\n",
" return sum(1 for x in it)\n",
"\n",
"print count1([1, 2, 3])\n",
"print count1(x*x for x in range(100))\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"3\n",
"100\n"
]
}
],
"prompt_number": 73
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Example: Reading multiple files**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets say we want to implement a function `cat` that takes a list of filenames and prints all the contents."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def cat(filenames):\n",
" for f in filenames:\n",
" for line in open(f):\n",
" print line,"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 74
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What if we want to do grep?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def grep(pattern, filenames):\n",
" for f in filenames:\n",
" for line in open(f):\n",
" if pattern in line:\n",
" print line, "
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 75
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%%file files.py\n",
"\n",
"import gzip\n",
"def xopen(filename):\n",
" if filename.endswith(\".gz\"):\n",
" return gzip.open(filename)\n",
" else:\n",
" return open(filename)\n",
"\n",
"def read_files(filenames):\n",
" for f in filenames:\n",
" for line in xopen(f):\n",
" yield line\n",
"\n",
"def print_lines(lines):\n",
" for line in lines:\n",
" print line,\n",
" \n",
"def cat(filenames):\n",
" lines = read_files(filenames)\n",
" print_lines(lines)\n",
" \n",
"def grep(pattern, filenames):\n",
" lines = read_files(filenames)\n",
" print_lines(line for line in lines if pattern in lines)\n",
" "
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Overwriting files.py\n"
]
}
],
"prompt_number": 78
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `findfiles` that takes a directory as argument and returns an iterator over all files in that directory tree.\n",
"\n",
"Hint: use `os.walk`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `count_pyfiles` that takes a directory as argument and computes the number of python files in that directory tree."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Write a function `count_pylines` that takes a directory as argument and computes the number of lines in all python files in that directory tree."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import os\n",
"for dirname, dirs, files in os.walk(\"flask-training/clickr\"):\n",
" print dirname, files"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"flask-training/clickr ['run.py']\n",
"flask-training/clickr/clickr ['__init__.py', '__init__.pyc', 'models.py', 'settings.py', 'webapp.py', 'webapp.pyc']\n",
"flask-training/clickr/clickr/templates ['base.html', 'index.html', 'photo.html', 'user.html']\n"
]
}
],
"prompt_number": 83
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def find_files(dir):\n",
" for dirname, dirs, files in os.walk(dir):\n",
" for f in files:\n",
" yield os.path.join(dirname, f)\n",
" \n",
"def find_files_by_extn(dir, ext):\n",
" return (f for f in find_files(dir) if f.endswith(ext))\n",
" \n",
"def count_pyfiles(dir):\n",
" pyfiles = find_files_by_extn(dir, \".py\")\n",
" return count(pyfiles)\n",
"\n",
"from files import read_files\n",
"\n",
"def count_pylines(dir):\n",
" pyfiles = find_files_by_extn(dir, \".py\")\n",
" pylines = read_files(pyfiles)\n",
" return count(pylines)\n",
" \n",
"print count_pyfiles(\".\")\n",
"print count_pylines(\".\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36\n",
"857\n"
]
}
],
"prompt_number": 89
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Further Reading**\n",
"\n",
"* [Generator Tricks for Systems Programmers](http://www.dabeaz.com/generators/) by [David Beazly](http://www.dabeaz.com/) is an excellent in-depth introduction to generators. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**itertools module**"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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