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‎.ipynb_checkpoints/Functions-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎.ipynb_checkpoints/Modules-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"# import the module \n",
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"import re\n",
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"my_regex = re.compile(\"[0-9]+\",re.I)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# use an alias\n",
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"import re as regex\n",
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"my_regex = regex.compile(\"[0-9]+\",regex.I)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"#import specific modules explicitly\n",
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"from collections import defaultdict, Counter\n",
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"lookup = defaultdict(int)\n",
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"my_counter = Counter()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2.5\n"
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]
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}
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],
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"source": [
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"#Python 2.7 uses integer division by default\n",
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"from __future__ import division\n",
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"print 5/2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n"
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]
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}
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],
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"source": [
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"print 5//2"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.18"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎.ipynb_checkpoints/WhitespaceFormatting-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"u'C:\\\\Users\\\\tanshah'"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pwd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#python uses indentation\n",
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"for i in [1,2,3,4,5]\n",
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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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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.18"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎Functions.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"#function is a rule for taking zero or more inputs and returning a corresponding output\n",
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"\n",
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"def double(x):\n",
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" \"\"\"Enter an optional docstring that explains what function does.\n",
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" This function multiplies its input by 2\"\"\"\n",
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" return x*2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# we can assign fucntions to variables and pass them into functions just like any other arguments:\n",
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"\n",
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"def apply_to_one(f):\n",
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" \"\"\"Calls function f with its argument 1\"\"\"\n",
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" return f(1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n"
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]
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}
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],
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"source": [
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"my_double = double\n",
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"x = apply_to_one(my_double)\n",
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"print x"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"5\n"
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]
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}
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],
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"source": [
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"#can be used to create anonymous functions or lambdas\n",
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"y = apply_to_one(lambda x: x+4)\n",
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"print y"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.18"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎Modules.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"# import the module \n",
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"import re\n",
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"my_regex = re.compile(\"[0-9]+\",re.I)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# use an alias\n",
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"import re as regex\n",
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"my_regex = regex.compile(\"[0-9]+\",regex.I)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"#import specific modules explicitly\n",
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"from collections import defaultdict, Counter\n",
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"lookup = defaultdict(int)\n",
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"my_counter = Counter()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2.5\n"
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]
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}
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],
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"source": [
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"#Python 2.7 uses integer division by default\n",
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"from __future__ import division\n",
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"print 5/2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n"
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]
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}
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],
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"source": [
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"print 5//2"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.18"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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