ShardulJunagade

OOPs - Object Oriented Programming

Classes and Objects

objects - entities in the real world class - blueprint of these entities

each object has properties (variables) and methods (functions)

Access Modifies:

1. private - data and methods accessible inside class (default)

ShardulJunagade

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ShardulJunagade

# Description: This program calculates the Cumulative Performance Index (CPI) of a student based on their grades and credits.
# Author: Shardul Junagade
# Date: 24-12-2024

class Course:
    def __init__(self, name, course_code, grade, credit, pass_fail=False):
        if grade < 0 or credit < 0:
            raise ValueError("Grade and credits must be non-negative.")
        self.name = name
        self.course_code = course_code

ShardulJunagade

{
	// Place your snippets for cpp here. Each snippet is defined under a snippet name and has a prefix, body and 
	// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are:
	// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the 
	// same ids are connected.
	// Example:
	// "Print to console": {
	// 	"prefix": "log",
	// 	"body": [
	// 		"console.log('$1');",

ShardulJunagade

{
    "$help": "https://aka.ms/terminal-documentation",
    "$schema": "https://aka.ms/terminal-profiles-schema",
    "actions": 
    [
        {
            "command": 
            {
                "action": "copy",
                "singleLine": false

ShardulJunagade

# Set prediction view style to ListView in PSReadLine (default is InlineView)
# This shows predictions in a dropdown list rather than inline gray text.
Set-PSReadLineOption -PredictionViewStyle ListView


# Ensure Terminal-Icons module is installed before importing
# Helps visually distinguish between files, directories, and types in listings like Get-ChildItem
if (-not (Get-Module -ListAvailable -Name Terminal-Icons)) {
    Install-Module -Name Terminal-Icons -Scope CurrentUser -Force -SkipPublisherCheck
}

ShardulJunagade

Setting Up PyTorch with NVIDIA GPU (CUDA and cuDNN)

This guide provides three different methods to install PyTorch with GPU acceleration using CUDA and cuDNN. Choose the method that best suits your requirements and system configuration.

1. Using Virtual Environment (venv) in Python
2. Using Conda Environment in Anaconda
   • Using pip
   • Using conda
3. Using Docker Container

ShardulJunagade

from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import TextFormatter
import scrapetube
import os

# Enter the Youtube Channel ID
channel_id = ""

# Enter the name of the txt file to be saved
file_name = ""