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Commit 8941975

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finish filter, start reduce, start generators
1 parent 8141968 commit 8941975

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Map applies a function to all the items in an input_list. Here is the
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blueprint:
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`map(function_to_apply, list_of_inputs)`
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Most of the times we want to pass all the list elements to a function
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one-by-one and then collect the output. For instance:
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```
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items = [1, 2, 3, 4, 5]
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squared = []
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for i in items:
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squared.append(i**2)
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```
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Map allows us to implement this in a much simpler and nicer way. Here you go:
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```
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items = [1, 2, 3, 4, 5]
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squared = list(map(lambda x: x**2, items))
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```
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Most of the times we use lambdas with map, so I did the same. Instead of a
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list of inputs we can even have a list of functions!
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```
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def multiply(x):
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return (x*x)
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def add(x):
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return (x+x)
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funcs = [multiply, add]
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for i in range(5):
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value = list(map(lambda x: x(i), funcs))
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```
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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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}
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{
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"cells": [
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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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"# Generators\n"
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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": 3,
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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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"0\n",
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"1\n",
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"2\n",
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"3\n",
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"4\n",
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"5\n",
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"6\n",
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"7\n",
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"8\n",
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"9\n"
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]
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}
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],
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"source": [
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"def gen():\n",
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" for i in range(10):\n",
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" yield i\n",
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"\n",
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"for num in gen():\n",
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" print(num)"
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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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}
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],
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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": "3.6.4"
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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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{
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"cells": [
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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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"# map()\n",
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"Map applies a function to all the items in an input_list. Here is the \n",
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"blueprint:\n",
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"\n",
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"```python\n",
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"map(function_to_apply, list_of_inputs)\n",
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"```"
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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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"Most of the times we want to pass all the list elements to a function \n",
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"one-by-one and then collect the output. For instance:"
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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": 1,
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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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"[1, 2, 3, 4, 5]\n",
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"[1, 4, 9, 16, 25]\n"
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]
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}
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],
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"source": [
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"items = [1, 2, 3, 4, 5]\n",
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"squared_items = []\n",
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"for i in items:\n",
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" squared_items.append(i**2)\n",
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" \n",
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"print(items)\n",
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"print(squared_items)"
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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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"Map allows us to implement this in a much simpler and nicer way:"
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3, 4, 5]\n",
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"[1, 4, 9, 16, 25]\n"
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]
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}
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],
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"source": [
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"def square(x):\n",
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" return x**2\n",
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"\n",
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"items = [1, 2, 3, 4, 5]\n",
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"squared_items = list(map(square, items))\n",
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"\n",
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"print(items)\n",
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"print(squared_items)"
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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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"Most of the times we use lambdas with `map`, so I did the same. "
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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": 3,
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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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"[1, 2, 3, 4, 5]\n",
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"[1, 4, 9, 16, 25]\n"
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]
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}
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],
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"source": [
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"items = [1, 2, 3, 4, 5]\n",
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"squared_items = list(map(lambda x: x**2, items))\n",
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"\n",
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"print(items)\n",
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"print(squared_items)"
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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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"Instead of a list of inputs, we can even apply a list of functions!"
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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": 4,
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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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"[0, 0]\n",
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"[1, 2]\n",
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"[4, 4]\n",
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"[9, 6]\n",
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"[16, 8]\n"
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]
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}
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],
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"source": [
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"def square(x):\n",
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"\treturn (x*x)\n",
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"def double(x):\n",
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"\treturn (2*x)\n",
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"\n",
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"# For the numbers from 0 to 4, square it and double it\n",
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"funcs = [square, double]\n",
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"for i in range(5):\n",
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" # value will be a list containing two elements [i^2, 2*i], one for each function in funcs\n",
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" value = list(map(lambda x: x(i), funcs))\n",
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" print(value)"
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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 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": "3.6.4"
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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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