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‎06 Function in Python/.ipynb_checkpoints/04 Concept of args and kwargs-checkpoint.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": "b9a2b9ad-2e5b-46b0-bad7-bc0d78d05d7e",
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"metadata": {},
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"source": [
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"## Concept of *args and **kwargs"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b671e944-f2bb-4141-a09f-410f83793299",
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"metadata": {},
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"source": [
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"In Python, it's possible to define functions that accept a variable number of arguments. This can be useful when we don't know in advance how many arguments a function will need to handle, or when we want to make our code more flexible. Python uses these special symbols for passing arguments:\n",
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"\n",
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"* *args (For Non-Keyword Arguments)\n",
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"* **kwargs (For Keyword Arguments)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ad5d0706-85ce-4eb9-90ee-2dd03f41302e",
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"metadata": {},
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"source": [
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"### *args (For Non-Keyword Arguments)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b4f2f2b3-c66f-41a9-8f8d-cce5d4669159",
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"metadata": {},
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"source": [
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"In Python, *args is a special syntax used to pass a variable number of positional arguments to a function. The *args notation allows us to pass any number of arguments to a function, and those arguments will be collected into a tuple.\n",
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"\n",
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"For example, if we want to make an addition function that supports taking any number of arguments and able to add them all together. In this case we can use *args.\n",
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"\n",
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"One important thing to note is that *args must come at the end of a function's parameter list, after any named arguments. This is because *args collects all positional arguments that are not matched to named parameters, so any named parameters that come after *args will be ignored"
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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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"id": "e7ed9a8d-7c98-4cc5-826d-27a3e79050a3",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"def sum(*args):\n",
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" s = 0\n",
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" for i in args:\n",
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" s += i\n",
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" print(s)"
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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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"id": "b84d279d-5c51-4885-a0d3-c6ad2b209e6c",
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"metadata": {
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"tags": []
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},
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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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"15\n"
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]
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}
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],
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"source": [
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"sum(1, 2, 3, 4, 5)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9d851610-86d3-40ab-8be6-e486699829e1",
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"metadata": {},
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"source": [
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"### **kwargs (For Keyword Arguments)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1c8a2150-01f5-48ef-a844-e5975797b361",
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"metadata": {},
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"source": [
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"In Python, **kwargs is a special syntax used to pass a variable number of keyword arguments to a function. The **kwargs notation allows us to pass any number of keyword arguments to a function, and those arguments will be collected into a dictionary.\n",
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"\n",
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"A keyword argument is where we provide a name to the variable as we pass it into the function.\n",
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"\n",
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"One important thing to note is that **kwargs must come after *args in a function's parameter list, if both are used. This is because *args collects all positional arguments that are not matched to named parameters, while **kwargs collects all keyword arguments that are not matched to named parameters."
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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": "cbe35c5b-8d5b-48ca-9fb2-67d3a7c2ac35",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"def myFunction(**kwargs):\n",
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" for key, value in kwargs.items():\n",
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" print(key, \":\", value)"
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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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"id": "493b7377-650e-4eda-9ffd-ef75b96245db",
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"metadata": {
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"tags": []
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},
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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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"name : Krishnagopal Halder\n",
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"age : 22\n"
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]
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}
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],
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"source": [
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"myFunction(name=\"Krishnagopal Halder\", age=22)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8158ea12-fc2b-4687-b4f0-57eb86941806",
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"metadata": {},
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"source": [
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"### Example with *args and **kwargs"
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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": 5,
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"id": "2303d1f2-7a93-4687-809e-db26d80d94f5",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"def personalInfo(name, age, *args, **kwargs):\n",
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" print(\"The name of the peron is\", name)\n",
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" print(\"The age of the person is\", age)\n",
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" print(\"Other informations:\")\n",
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" for key, value in kwargs.items():\n",
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" print(key, \":\", value)\n",
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" print(\"Unknown informations:\")\n",
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" for i in args:\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": 6,
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"id": "792ef8be-ac49-415f-a455-eda94a2f2802",
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"metadata": {
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"tags": []
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},
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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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"The name of the peron is Krishnagopal Halder\n",
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"The age of the person is 22\n",
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"Other informations:\n",
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"state : WB\n",
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"country : India\n",
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"Unknown informations:\n",
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"First arg\n",
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"Second arg\n"
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]
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}
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],
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"source": [
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"personalInfo(\"Krishnagopal Halder\", 22, \"First arg\", \"Second arg\", state=\"WB\", country=\"India\")"
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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": "3.9.16"
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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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}

‎06 Function in Python/.ipynb_checkpoints/05 Python Default Parameters-checkpoint.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": "ece3abd7-f000-4f57-9260-d17d99213727",
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"metadata": {},
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"source": [
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"## Python Default Parameters"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5dd720dc-a115-427b-8cf2-bcd22469c365",
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"metadata": {},
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"source": [
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"In Python, function parameters can have default values. We can provide a default value to a parameter by using the assignment(=) operator."
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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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"id": "d586ae73-7353-4de5-b027-be8ba1c49a03",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"def programmer(name, age, coreLang=\"Python\"):\n",
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" print(\"The name of the programmer is\", name)\n",
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" print(\"The age of the programmer is\", age)\n",
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" print(\"The core programming language is\", coreLang)"
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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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"id": "e9773e39-f2e6-4d97-a190-915ef860ac79",
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"metadata": {
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"tags": []
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},
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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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"The name of the programmer is Krishnagopal Halder\n",
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"The age of the programmer is 22\n",
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"The core programming language is Python\n"
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]
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}
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],
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"source": [
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"# Calling function with the default value of coreLang parameter\n",
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"programmer(\"Krishnagopal Halder\", 22)"
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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": 5,
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"id": "71289d37-2fa3-4459-85dc-7016a27c85df",
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"metadata": {
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"tags": []
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},
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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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"The name of the programmer is Arav Mahanti\n",
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"The age of the programmer is 25\n",
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"The core programming language is C++\n"
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]
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}
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],
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"source": [
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"# Calling function with the changed value of coreLang parameter\n",
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"programmer(\"Arav Mahanti\", 25, \"C++\")"
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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": "3.9.16"
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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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