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Commit a315965

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akashadhikariakashadhikari
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‎tutorial.ipynb‎

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+253-16Lines changed: 253 additions & 16 deletions
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@@ -22,7 +22,8 @@
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"\n",
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"#### 1) [Args and Kwargs](#ch1)\n",
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"#### 2) [Generators](#ch2)\n",
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"#### 2) [Map, Reduce, Filter](#ch3)"
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"#### 3) [Map, Reduce, Filter](#ch3)\n",
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"#### 4) [Sets](#ch4)"
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]
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},
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{
@@ -1048,12 +1049,12 @@
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"source": [
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"### Filter\n",
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"As the name suggests, a filter method literally filters out the elements defined.\n",
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"Let's filter "
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"Let's filter only the negative numbers."
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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": 73,
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"execution_count": 81,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 74,
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"execution_count": 82,
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"metadata": {},
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"outputs": [
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{
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"-5"
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]
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},
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"execution_count": 74,
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"execution_count": 82,
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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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{
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"cell_type": "code",
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"execution_count": 75,
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"execution_count": 83,
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"metadata": {},
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"outputs": [
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{
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"-4"
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]
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},
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"execution_count": 75,
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"execution_count": 83,
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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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{
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"cell_type": "code",
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"execution_count": 76,
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"execution_count": 84,
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"metadata": {},
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"outputs": [
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{
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"-3"
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]
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},
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"execution_count": 76,
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"execution_count": 84,
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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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{
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"cell_type": "code",
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"execution_count": 77,
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"execution_count": 85,
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"metadata": {},
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"outputs": [
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{
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"-2"
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]
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},
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"execution_count": 77,
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"execution_count": 85,
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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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{
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"cell_type": "code",
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"execution_count": 86,
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"metadata": {},
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{
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"-1"
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]
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},
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"execution_count": 78,
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"execution_count": 86,
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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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{
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"cell_type": "code",
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"execution_count": 79,
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"execution_count": 87,
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"metadata": {},
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"outputs": [
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{
@@ -1173,7 +1174,7 @@
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-79-373734c2136e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mless_than_zero\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m<ipython-input-87-373734c2136e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mless_than_zero\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mStopIteration\u001b[0m: "
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]
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}
@@ -1189,12 +1190,248 @@
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"Cause that's it. The filtered list only contains `[-5, -4, -3, -2, -1]`"
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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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"<a id=\"ch4\"></a>\n",
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"## Chapter 4 - Sets\n",
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"\n",
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"A set is an unordered collection with no duplicate elements. Basic uses include membership testing and eliminating duplicate entries. Set objects also support mathematical operations like union, intersection, difference, and symmetric difference.<br>\n",
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"Curly braces or the `set()` function can be used to create sets. Note: to create an empty set you have to use `set()`, not {}; the latter creates an empty dictionary"
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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": 75,
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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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"{'apple', 'banana', 'orange', 'pear'}"
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]
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},
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"execution_count": 75,
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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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"basket = {'apple', 'orange', 'apple', 'pear', 'orange', 'banana'}\n",
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"basket"
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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": 84,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Demonstrate set operations on unique letters from two words\n",
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"a = set('abracadabra')\n",
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"b = set('alacazam')"
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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": 85,
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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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"{'a', 'b', 'c', 'd', 'r'}"
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]
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},
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"execution_count": 85,
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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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"a"
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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": 86,
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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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"{'a', 'c', 'l', 'm', 'z'}"
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]
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},
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"execution_count": 86,
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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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"b"
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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": 87,
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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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"{'b', 'd', 'r'}"
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]
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},
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"execution_count": 87,
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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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"a-b # letters in a but not in b"
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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": 88,
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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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"{'l', 'm', 'z'}"
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]
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},
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"execution_count": 88,
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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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"b-a # letters in b but not in a"
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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": 89,
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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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"{'a', 'c'}"
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]
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},
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"execution_count": 89,
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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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"a & b # letters in both a and b"
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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": 90,
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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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"{'a', 'b', 'c', 'd', 'l', 'm', 'r', 'z'}"
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]
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},
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"execution_count": 90,
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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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"a | b # letters in a or b or both"
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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": 91,
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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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"{'b', 'd', 'l', 'm', 'r', 'z'}"
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]
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},
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"execution_count": 91,
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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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"a ^ b # letters in a or b but not both"
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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": 93,
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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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"{'d', 'r'}"
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]
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},
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"execution_count": 93,
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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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"# Set comprehension\n",
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"a = {x for x in 'abracadabra' if x not in 'abc'}\n",
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"a"
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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": 94,
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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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"{'a', 'h', 'k', 's'}"
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]
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},
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"execution_count": 94,
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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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"a = \"akash\"\n",
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"set(a)"
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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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"Remove duplicates from the list."
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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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"source": [
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"duplicated_list = [1,2,2,4,6,3,9,6,9,7]\n",
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"final_list = set([x for x in duplicated_list if duplicated_list.co])"
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]
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}
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],
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"metadata": {

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