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add Create List of Size n
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‎Array/Create List of Size n.ipynb

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{
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"cells": [
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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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"n = 5\n",
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"a: list[int] = [0] * 5\n",
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"print(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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"## Using Liat Comprehension"
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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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"[0, 0, 0, 0, 0]\n"
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]
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}
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],
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"source": [
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"n = 5\n",
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"a: list[int] = [0 for i in range(n)]\n",
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"print(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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"## Using list() Constructor with range()"
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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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"[0, 1, 2, 3, 4]\n"
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]
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}
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],
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"source": [
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"n = 5\n",
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"a: list[int] = list(range(n))\n",
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"print(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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"## Using for loop"
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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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"n = 5\n",
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"a: list[int] = []\n",
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"for i in range(n):\n",
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" a.append(0)\n",
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"print(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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"## Using *args Function"
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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, 0, 0, 0, 0]\n"
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]
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}
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],
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"source": [
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"def create_list(n: int) -> list[int]:\n",
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" return [0] * n\n",
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"n = 5\n",
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"a = create_list(n)\n",
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"print(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": 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, 2, 3, 4]\n"
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]
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}
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],
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"source": [
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"def create_list(*args: int) -> list[int]:\n",
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" return list(args)\n",
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"a: list[int] = create_list(1,2,3,4)\n",
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"print(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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}
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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": "3.12.9"
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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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}

‎Array/Create a list of tuple.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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"## Using zip()"
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[(1, 'apple'), (2, 'orange'), (3, 'cherry')]\n"
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]
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}
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],
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"source": [
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"a = [1, 2, 3]\n",
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"b = ['apple', 'orange', 'cherry']\n",
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"res: list[tuple[int, str]] = list(zip(a, b))\n",
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"print(res)"
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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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"## Using map()"
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[(1, 'apple'), (2, 'orange'), (3, 'cherry')]\n"
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]
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}
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],
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"source": [
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"# from collections.abc import Iterator\n",
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"a: list[list[int | str]] = [[1, \"apple\"], [2, \"orange\"], [3, \"cherry\"]]\n",
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"# res: Iterator[tuple[int | str, ...]] = map(tuple, a)\n",
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"res: list[tuple[int | str, ...]] = list(map(tuple, a))\n",
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"\n",
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"print(res)"
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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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"## Using list comprehension"
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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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"a: list[int] = [1,2,3]\n",
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"b: list[str] = ['apple', 'orange', 'cherry']\n",
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"res: list[tuple[int, str]] = [(x,y) for x,y in zip(a,b)]\n",
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"print(res)"
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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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"## Using for loop"
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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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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[(1, 'apple'), (2, 'orange'), (3, 'cherry')]\n"
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]
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}
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],
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"source": [
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"a: list[int] = [1,2,3]\n",
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"b: list[str] = ['apple', 'orange', 'cherry']\n",
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"res: list[tuple[int,str]] = []\n",
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"for i in range(len(a)):\n",
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" res.append((a[i], b[i]))\n",
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"print(res)"
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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": "3.12.9"
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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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