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https://github.com/donnemartin/data-science-ipython-notebooks.git
synced 2024-03-22 13:30:56 +08:00
Added closure snippet.
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:a37a234cd37895919493dabe7ab645bb2b5e24d9b304ab564e18b59eac4f7a0a"
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"signature": "sha256:1c8db5161bc70c65141de06823a3be29e8f58e1668a4090282d39002eabd8adb"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -200,6 +200,95 @@
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}
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],
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"prompt_number": 7
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},
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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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"## Closures"
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]
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},
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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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"Closures are dynamically-genearated functions returned by another function. The returned function has access to the variables in the local namespace where it was created."
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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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"def make_closure(x):\n",
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" def closure():\n",
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" print('Secret value is: %s' % x)\n",
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" return closure\n",
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"\n",
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"closure = make_closure(7)\n",
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"closure()"
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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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"Secret value is: 7\n"
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]
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}
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],
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"prompt_number": 31
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},
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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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"The following function returns a function that keeps track of arguments it has seen."
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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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"def make_watcher():\n",
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" dict_seen = {}\n",
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" \n",
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" def watcher(x):\n",
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" if x in dict_seen:\n",
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" return True\n",
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" else:\n",
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" dict_seen[x] = True\n",
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" return False\n",
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" \n",
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" return watcher"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 34
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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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"watcher = make_watcher()\n",
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"seq = [1, 1, 2, 3, 5, 8, 13, 2, 5, 13]\n",
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"[watcher(x) for x in seq]"
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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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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 46,
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"text": [
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"[False, True, False, False, False, False, False, True, True, True]"
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]
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}
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],
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"prompt_number": 46
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}
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],
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"metadata": {}
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