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https://github.com/donnemartin/data-science-ipython-notebooks.git
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Added snippet for generator expressions.
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@ -1,7 +1,7 @@
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"signature": "sha256:a81c81558508aed1c6f336342652e5f8dcc250ecd9f9f955b9e6e02d65a45c5c"
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"signature": "sha256:d9c538ef6dad540e5963356ed91d625e86a9a447c42edc8d3fe3a76031768782"
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"nbformat": 3,
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"nbformat": 3,
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"nbformat_minor": 0,
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"nbformat_minor": 0,
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@ -452,8 +452,8 @@
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"collapsed": false,
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"collapsed": false,
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"input": [
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"input": [
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"def squares(n=5):\n",
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"def squares(n=5):\n",
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" for i in xrange(1, n + 1):\n",
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" for x in xrange(1, n + 1):\n",
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" yield i ** 2\n",
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" yield x ** 2\n",
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"\n",
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"\n",
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"# No code is executed\n",
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"# No code is executed\n",
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"gen = squares()\n",
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"gen = squares()\n",
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@ -478,6 +478,40 @@
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}
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}
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],
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],
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"prompt_number": 10
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"prompt_number": 10
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Generator Expressions\n",
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"\n",
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"A generator expression is analogous to a comprehension. A list comprehension is enclosed by [], a generator expression is enclosed by ():"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"gen = (x ** 2 for x in xrange(1, 6))\n",
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"for x in gen:\n",
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" print x"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"1\n",
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"4\n",
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"9\n",
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"16\n",
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"25\n"
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]
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}
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],
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"prompt_number": 11
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}
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}
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],
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],
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"metadata": {}
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"metadata": {}
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