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‎9-Advance Python Concepts/9.1-Iterators.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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"metadata": {},
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"source": [
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"### Iterators\n",
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"Iterators are advanced Python concepts that allow for efficient looping and memory management. Iterators provide a way to access elements of a collection sequentially without exposing the underlying structure.\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": 6,
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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\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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]
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}
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],
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"source": [
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"my_list=[1,2,3,4,5,6]\n",
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"for i in my_list:\n",
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" print(i)"
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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": 7,
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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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"list"
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]
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},
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"execution_count": 7,
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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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"type(my_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": 8,
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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, 6]\n"
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]
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}
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],
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"source": [
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"print(my_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": 9,
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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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"<class 'list_iterator'>\n"
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]
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}
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],
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"source": [
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"## Iterator\n",
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"iterator=iter(my_list)\n",
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"print(type(iterator))"
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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": 10,
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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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"<list_iterator at 0x27a325efb20>"
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]
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},
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"execution_count": 10,
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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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"iterator"
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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": 17,
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"metadata": {},
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"outputs": [
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{
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"ename": "StopIteration",
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"evalue": "",
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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;31mStopIteration\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[17], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m## Iterate through all the element\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n",
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"\u001b[1;31mStopIteration\u001b[0m: "
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]
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}
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],
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"source": [
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"## Iterate through all the element\n",
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"\n",
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"next(iterator)"
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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": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"iterator=iter(my_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": 25,
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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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"There are no elements in the iterator\n"
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]
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}
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],
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"source": [
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"\n",
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"\n",
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"try:\n",
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" print(next(iterator))\n",
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"except StopIteration:\n",
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" print(\"There are no elements in the iterator\")"
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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": 26,
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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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"H\n",
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"e\n"
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]
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}
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],
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"source": [
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"# String iterator\n",
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"my_string = \"Hello\"\n",
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"string_iterator = iter(my_string)\n",
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"\n",
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"print(next(string_iterator)) # Output: H\n",
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"print(next(string_iterator)) # Output: e"
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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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"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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"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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"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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"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": "3.12.0"
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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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}

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