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Commitc26a7b0

Browse files
committed
Clear Jupyter Notebook Cells
1 parent169c73e commitc26a7b0

15 files changed

+101
-281
lines changed

‎jupyter_notebooks/01_Python_Basics.ipynb‎

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"metadata": {},
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"outputs": [
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"name":"stdout",
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"output_type":"stream",
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"text": [
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"The Zen of Python, by Tim Peters\n",
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"\n",
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"Beautiful is better than ugly.\n",
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"Explicit is better than implicit.\n",
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"Simple is better than complex.\n",
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"Complex is better than complicated.\n",
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"Flat is better than nested.\n",
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"Sparse is better than dense.\n",
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"Readability counts.\n",
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"Special cases aren't special enough to break the rules.\n",
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"Although practicality beats purity.\n",
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"Errors should never pass silently.\n",
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"Unless explicitly silenced.\n",
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"In the face of ambiguity, refuse the temptation to guess.\n",
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"There should be one-- and preferably only one --obvious way to do it.\n",
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"Although that way may not be obvious at first unless you're Dutch.\n",
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"Now is better than never.\n",
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"Although never is often better than *right* now.\n",
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"If the implementation is hard to explain, it's a bad idea.\n",
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"If the implementation is easy to explain, it may be a good idea.\n",
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"Namespaces are one honking great idea -- let's do more of those!\n"
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]
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}
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],
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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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"import this"
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‎jupyter_notebooks/02_Flow_Control.ipynb‎

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"outputs": [
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"text": [
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"You are not Alice, kiddo.\n"
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]
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}
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],
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"execution_count":null,
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"outputs": [],
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"name = 'Bob'\n",
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"age = 5\n",
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"cell_type":"code",
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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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"You are neither Alice nor a little kid.\n"
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]
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}
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],
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"outputs": [],
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"name = 'Bob'\n",
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"age = 30\n",

‎jupyter_notebooks/03_Functions.ipynb‎

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"cell_type":"code",
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"metadata": {},
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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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"Yes\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import random\n",
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"def getAnswer(answerNumber):\n",
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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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{
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"name":"stdout",
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"output_type":"stream",
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"text": [
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"Hello!\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"True"
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]
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"execution_count":4,
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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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"outputs": [],
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"source": [
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"spam = print('Hello!')\n",
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"spam is None"

‎jupyter_notebooks/04_Exception_Handling.ipynb‎

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"metadata": {},
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"metadata": {
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"kernelspec": {
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"display_name":"Python 3",
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"language":"python",
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"name":"python3"
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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":3
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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":"ipython3",
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"version":"3.7.0"
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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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‎jupyter_notebooks/05_Lists_and_Tuples.ipynb‎

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"kernelspec": {
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"display_name":"Python 3",
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"language":"python",
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"name":"python3"
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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":3
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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":"ipython3",
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"version":"3.7.0"
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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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‎jupyter_notebooks/06_Dictionaries.ipynb‎

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"{'a': 1, 'b': 3, 'c': 4}"
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"output_type":"execute_result"
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}
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],
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"outputs": [],
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"source": [
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"# in Python 3.5+:\n",
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"x = {'a': 1, 'b': 2}\n",

‎jupyter_notebooks/07_Sets.ipynb‎

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"text/plain": [
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"{1, 4}"
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"output_type":"execute_result"
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}
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],
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"outputs": [],
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"source": [
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"s1 = {1, 2, 3}\n",
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"s2 = {2, 3, 4}\n",

‎jupyter_notebooks/08_itertools_Module.ipynb‎

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"1\n",
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"2\n",
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"6\n",
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"24\n",
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"120\n"
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]
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}
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],
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"outputs": [],
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"data = [1, 2, 3, 4, 5]\n",
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"result = itertools.accumulate(data, operator.mul)\n",
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"120"
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"operator.mul(24, 5)"
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"text": [
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"('circle', 'triangle')\n",
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"('circle', 'square')\n",
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"('triangle', 'square')\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"shapes = ['circle', 'triangle', 'square',]\n",
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"result = itertools.combinations(shapes, 2)\n",
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"12\n",
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"32\n",
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"21\n"
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],
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"outputs": [],
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"data = [(2, 6), (8, 4), (7, 3)]\n",
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"result = itertools.starmap(operator.mul, data)\n",

‎jupyter_notebooks/09_Comprehensions.ipynb‎

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"metadata": {},
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"data": {
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"[0, 2, 4, 6, 8, 10]"
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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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"outputs": [],
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"source": [
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"a = [1, 3, 5, 7, 9, 11]\n",
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"[i - 1 for i in a]"

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