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Tweaks to exercises.
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climate_timeseries/climate_timeseries-Part2.ipynb

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@@ -1427,7 +1427,7 @@
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" )\n",
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"\n",
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"# Let's make a copy to work with a new, clean block of memory \n",
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"# (if you are interested, try and remove the copy to see the consequences further down...\n",
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"# (if you are interested, try and remove the copy to see the consequences further down...)\n",
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"european_stations = local_sea_level_stations[european_filter].copy()\n",
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"european_stations[\"Country\"].unique()"
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]
@@ -1504,7 +1504,9 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**EXERCISE:** How many recently updated stations? Not recently updated stations? Which country has the most stations? Which country has the most recently updated stations?"
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"**EXERCISE:** How many recently updated stations? Not recently updated stations? Which country has the most recently updated stations? \n",
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"\n",
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"Bonus: Which country has the most stations?"
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]
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},
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{
@@ -1536,13 +1538,6 @@
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"# Your code here"
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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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"**EXERCISE:** Refer to `exercises/pivot_table/pivot_tables.py`"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
@@ -2169,21 +2164,21 @@
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [Root]",
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"display_name": "Python 2",
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"language": "python",
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"name": "Python [Root]"
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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": 3
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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": "ipython3",
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"version": "3.5.2"
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"pygments_lexer": "ipython2",
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"version": "2.7.10"
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}
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},
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"nbformat": 4,

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