JavaScript was Harder until I found These YouTubers

Watch Here: https://www.instagram.com/reel/DBhy5RKAsV4/

1. JavaScript Tutorials for Beginners in Hindi
Channel: Code With Harry
Link: Click Here!

2. Chai aur Javascript | हिन्दी
Channel: Chai aur Code
Link: Click Here!

3. JavaScript Full Course (2024) - Beginners to Pro
Channel: Shradha Khapra
Link: Click Here!

4. Learn JavaScript - Full Course for Beginners
Channel: FreeCodeCamp
Link: Click Here!

5. Namaste 🙏 JavaScript
Channel: Akshay Saini
Link: Click Here!

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100 Votes and I will share the Notes! ✌️📌

Linux Notes 🐧

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C++ Programming Notes 📝

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Hello, everyone! 🌟

Wishing you all a very Happy Diwali! 🎉✨ May this festival of lights bring happiness, health, and success to you and your loved ones.

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Don't Just Learn Python! Instead Build Projects to Master IT!!! ✨✌️

🎥 54 Python projects with video tutorials on YouTube: Watch Here!

💻 50+ Projects with Source Code: Click Here!


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Python Projects to Boost Your Resume 📌👇

1. Live Cricket Score Alerts using Python : Click Here!
2. Voice Recorder in Python : Click Here!
3. Generate PDF Invoices Using Python : Click Here!
4. Live Weather Notifications Using Python : Click Here!
5. Python Telegram Message Sender : Click Here!
6. School Management System : Click Here!

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100 Votes and I will share the List! ✌️📌

Here is list of websites where you can find datasets for data science projects:

Kaggle - kaggle.com/datasets
UCI Machine Learning Repository - archive.ics.uci.edu/ml/index.php
Google Dataset Search - datasetsearch.research.google.com
Data.gov - data.gov
AWS Public Datasets - registry.opendata.aws
World Bank Open Data - data.worldbank.org
Google BigQuery Public Datasets - cloud.google.com/bigquery/public-data
FiveThirtyEight - data.fivethirtyeight.com
Quandl - quandl.com
Open Data Portal (European Union) - data.europa.eu
Stanford Large Network Dataset Collection - snap.stanford.edu/data
UN Data - data.un.org
Awesome Public Datasets on GitHub - github.com/awesomedata/awesome-public-datasets
Figshare - figshare.com
ICPSR - icpsr.umich.edu

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PEP stands for Python Enhancement Proposal. It’s a document that suggests new features or improvements to Python. PEPs are like guidelines or proposals for how to make Python better, and they’re created by the Python community. One famous example is PEP 8, which outlines Python's style guide for writing clean, readable code.

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Python Dev Roadmap ✌️

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