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Commit d8f6d1d

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Added Generators notebook
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‎Generators.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b30d2461",
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"metadata": {},
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"source": [
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"# Python Generator\n",
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"\n",
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"- A function that returns an `iterator` that produces a sequence of values when iterated over.\n",
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"\n",
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"- Generators are useful when we want to produce a large sequence of values, but we don't want to store all of them in memory at once."
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]
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},
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{
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"cell_type": "markdown",
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"id": "414427c6",
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"metadata": {},
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"source": [
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"## 1. Create & Access Python Generator\n",
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"\n",
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"- In Python, similar to defining a normal function,\n",
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"- instead of the `return` use the `yield` statement.\n",
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"\n",
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"```\n",
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"********************************\n",
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"\n",
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"def generator_name(arg):\n",
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" # statements\n",
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" yield something\n",
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"\n",
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"********************************\n",
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"```"
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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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"id": "370ea855",
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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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"value: 0\n",
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"value: 1\n",
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"value: 2\n",
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"value: 3\n",
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"value: 4\n"
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]
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}
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],
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"source": [
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"# A generator function that produce Sequence of Numbers\n",
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"\n",
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"def sequence_generator(num):\n",
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" value = 0\n",
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" while value < num:\n",
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" yield value\n",
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" value += 1\n",
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"\n",
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"for i in sequence_generator(5):\n",
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" print('value: ', i)\n",
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" \n",
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" "
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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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"id": "ff2d87d4",
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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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"<generator object sequence_generator at 0x000001C5DC065580>\n"
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]
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}
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],
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"source": [
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"# Another way for accessing Generator elements\n",
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"\n",
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"nums = sequence_generator(5) # crearting generator object\n",
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"print(nums) # Show you generator object with memory address\n",
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"\n",
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"print(next(nums))\n",
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"print(next(nums))\n",
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"print(next(nums))\n",
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"print(next(nums))\n",
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"print(next(nums))\n",
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"print(next(nums)) # gives stop iteration error when limit exceeded."
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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": 15,
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"id": "892031ac",
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'my_range' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_14764/1912924913.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msequence_generator\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmy_range\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msequence_generator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# 0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msequence_generator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# 1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msequence_generator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# 2\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mNameError\u001b[0m: name 'my_range' is not defined"
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]
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}
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],
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"source": [
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"sequence_generator = my_range(3)\n",
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"print(next(sequence_generator)) # 0\n",
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"print(next(sequence_generator)) # 1\n",
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"print(next(sequence_generator)) # 2"
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]
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},
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{
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"cell_type": "markdown",
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"id": "812204fb",
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"metadata": {},
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"source": [
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"## 2. Generator Expression Syntax\n",
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"\n",
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" ```(expression for item in iterable)```\n",
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"\n",
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"`expression` is a value that will be returned for each item in the iterable"
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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": 16,
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"id": "8b7f8e1a",
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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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"<generator object <genexpr> at 0x000001C5DC0659E0>\n"
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]
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}
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],
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"source": [
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"square = (i*i for i in range(5)) #creating Generator object\n",
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"print(square)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "dffb7bf4",
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"metadata": {},
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"source": [
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"## 3. Usage of Generators\n",
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"\n",
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"- Memory Efficient\n",
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"- Represent Infinite Stream\n",
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"- Pipelining Generators\n",
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"\n",
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"\n",
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"\n",
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"**Reference**\n",
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"\n",
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"https://www.programiz.com/python-programming/generator"
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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 (ipykernel)",
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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": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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