𝟰 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗙𝗿𝗲𝗲 𝗦𝗤𝗟 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍

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HIGH-INCOME SKILLS TO LEARN💰

1. Artificial Intelligence
2. Cloud Computing
3. Data Science
4. Machine Learning
5. Blockchain
6. Data Analytics
7. Data Engineering
8. Applications Engineering
9. Web Development
10. Software Development
11. UX Design
12. Web Design
13. Graphic Design
14. Video Editing
15. Content Marketing
16. Digital Marketing

Here are 7 FREE courses that will make you smarter:

1. Negotiating Salary:

Learn how to get the pay you deserve by mastering the art of negotiation.

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2. Entrepreneurship:

Learn how to build a successful business.

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3. Intro to AI:

A beginner's guide to artificial intelligence and its applications in the real world.

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4. Managing Happiness:

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5. Mobile App Development:

Learn how to create your mobile app and reach a wider audience.

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6. Entrepreneurship in Emerging Economies:

Learn how to start a successful business in countries where the economy is growing fast.

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Learn how to build your website.

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Three different learning styles in machine learning algorithms:

1. Supervised Learning

Input data is called training data and has a known label or result such as spam/not-spam or a stock price at a time.

A model is prepared through a training process in which it is required to make predictions and is corrected when those predictions are wrong. The training process continues until the model achieves a desired level of accuracy on the training data.

Example problems are classification and regression.

Example algorithms include: Logistic Regression and the Back Propagation Neural Network.

2. Unsupervised Learning

Input data is not labeled and does not have a known result.

A model is prepared by deducing structures present in the input data. This may be to extract general rules. It may be through a mathematical process to systematically reduce redundancy, or it may be to organize data by similarity.

Example problems are clustering, dimensionality reduction and association rule learning.

Example algorithms include: the Apriori algorithm and K-Means.

3. Semi-Supervised Learning

Input data is a mixture of labeled and unlabelled examples.

There is a desired prediction problem but the model must learn the structures to organize the data as well as make predictions.

Example problems are classification and regression.

Example algorithms are extensions to other flexible methods that make assumptions about how to model the unlabeled data.

🚀 Fun Facts About Data Science 🚀

1️⃣ Data Science is Everywhere - From Netflix recommendations to fraud detection in banking, data science powers everyday decisions.

2️⃣ 80% of a Data Scientist's Job is Data Cleaning - The real magic happens before the analysis. Messy data = messy results!

3️⃣ Python is the Most Popular Language - Loved for its simplicity and versatility, Python is the go-to for data analysis, machine learning, and automation.

4️⃣ Data Visualization Tells a Story - A well-designed chart or dashboard can reveal insights faster than thousands of rows in a spreadsheet.

5️⃣ AI is Making Data Science More Powerful - Machine learning models are now helping businesses predict trends, automate processes, and improve decision-making.

Stay curious and keep exploring the fascinating world of data science! 🌐📊

#DataScience #Python #AI #MachineLearning #DataVisualization

Sample email template to reach out to HR’s as fresher

Hi Jasneet,

I recently came across your LinkedIn post seeking a React.js developer intern, and I am writing to express my interest in the position at Airtel. As a recent graduate, I am eager to begin my career and am excited about the opportunity.

I am a quick learner and have developed a strong set of dynamic and user-friendly web applications using various technologies, including HTML, CSS, JavaScript, Bootstrap, React.js, Vue.js, PHP, and MySQL. I am also well-versed in creating reusable components, implementing responsive designs, and ensuring cross-browser compatibility.

I am confident that my eagerness to learn and strong work ethic will make me an asset to your team.

I have attached my resume for your review. Thank you for considering my application. I look forward to hearing from you soon.

Thanks!

I hope you will found this helpful 🙂

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React.js 30 Days Roadmap & Free Learning Resource 📍👇
 
👨🏻‍💻Days 1-7: Introduction and Fundamentals

📍Day 1: Introduction to React.js

    What is React.js?
    Setting up a development environment
    Creating a basic React app

📍Day 2: JSX and Components

    Understanding JSX
    Creating functional components
    Using props to pass data

📍Day 3: State and Lifecycle

    Component state
    Lifecycle methods (componentDidMount, componentDidUpdate, etc.)
    Updating and rendering based on state changes

📍Day 4: Handling Events

    Adding event handlers
    Updating state with events
    Conditional rendering

📍Day 5: Lists and Keys

    Rendering lists of components
    Adding unique keys to components
    Handling list updates efficiently

📍Day 6: Forms and Controlled Components

    Creating forms in React
    Handling form input and validation
    Controlled components

📍Day 7: Conditional Rendering

    Conditional rendering with if statements
    Using the && operator and ternary operator
    Conditional rendering with logical AND (&&) and logical OR (||)

👨🏻‍💻Days 8-14: Advanced React Concepts

📍Day 8: Styling in React

    Inline styles in React
    Using CSS classes and libraries
    CSS-in-JS solutions

📍Day 9: React Router

    Setting up React Router
    Navigating between routes
    Passing data through routes

📍Day 10: Context API and State Management

    Introduction to the Context API
    Creating and consuming context
    Global state management with context

📍Day 11: Redux for State Management

    What is Redux?
    Actions, reducers, and the store
    Integrating Redux into a React application

📍Day 12: React Hooks (useState, useEffect, etc.)

    Introduction to React Hooks
    useState, useEffect, and other commonly used hooks
    Refactoring class components to functional components with hooks

📍Day 13: Error Handling and Debugging

    Error boundaries
    Debugging React applications
    Error handling best practices

📍Day 14: Building and Optimizing for Production

    Production builds and optimizations
    Code splitting
    Performance best practices

👨🏻‍💻Days 15-21: Working with External Data and APIs

📍Day 15: Fetching Data from an API

    Making API requests in React
    Handling API responses
    Async/await in React

📍Day 16: Forms and Form Libraries

    Working with form libraries like Formik or React Hook Form
    Form validation and error handling

📍Day 17: Authentication and User Sessions

    Implementing user authentication
    Handling user sessions and tokens
    Securing routes

📍Day 18: State Management with Redux Toolkit

    Introduction to Redux Toolkit
    Creating slices
    Simplified Redux configuration

📍Day 19: Routing in Depth

    Nested routing with React Router
    Route guards and authentication
    Advanced route configuration

📍Day 20: Performance Optimization

    Memoization and useMemo
    React.iss.onemo for optimizing components
    Virtualization and large lists

📍Day 21: Real-time Data with WebSockets

    WebSockets for real-time communication
    Implementing chat or notifications

👨🏻‍💻Days 22-30: Building and Deployment

📍Day 22: Building a Full-Stack App

    Integrating React with a backend (e.g., Node.js, Express, or a serverless platform)
    Implementing RESTful or GraphQL APIs

📍Day 23: Testing in React

    Testing React components using tools like Jest and React Testing Library
    Writing unit tests and integration tests

📍Day 24: Deployment and Hosting

    Preparing your React app for production
    Deploying to platforms like Netlify, Vercel, or AWS

📍Day 25-30: Final Project

*_Plan, design, and build a complete React project of your choice, incorporating various concepts and tools you've learned during the previous days.

Web Development Best Resources: https://topmate.io/coding/930165

ENJOY LEARNING 👍👍

Useful VSCode Shortcuts List📝👨🏻‍💻

Ctrl + A - Select All
Alt + Shift + Up/Down - Copy Line Up/Down
Ctrl + Shift + K - Delete Line
Alt + Up/Down - Move Line Up/Down
Ctrl + - Toggle Terminal
Ctrl + B - Toggle Sidebar
Ctrl + Shift + D - Toggle Debug Panel
F5 - Start Debugging
Ctrl + Shift + E - Open Explorer
Ctrl + Shift + F - Find in Files
Ctrl + Shift + H - Replace in Files
Ctrl + Shift + M - Open Problems Panel
Ctrl + Shift + X - Open Extensions
Ctrl + Shift + - Show Integrated Terminal
Ctrl + Shift + L - Select All Occurrences
Ctrl + D - Add Selection to Next Find Match
Ctrl + Shift + D - Start/Stop Debugging
Ctrl + Shift + C - Open External Terminal
Ctrl + Shift + V - Open Markdown Preview
Ctrl + Shift + I - Format Document
Ctrl + Shift + U - Show Output
Ctrl + Shift + P - Open Command Palette
Ctrl + Shift + J - Open Debug Console
Ctrl + Shift + F12 - Toggle Full Screen
Ctrl + Shift + E - Toggle Explorer
Ctrl + Shift + T - Reopen Closed File
Ctrl + / - Toggle Line Comment
Ctrl + Shift + / - Toggle Block Comment
Alt + Shift + F - Format Document
Ctrl + K, Ctrl + S - Show Keyboard Shortcuts

#coding

Java coding interview questions

1. Reverse a String:
Write a Java program to reverse a given string.
2. Find the Largest Element in an Array:
Find and print the largest element in an array.
3. Check for Palindrome:
Determine if a given string is a palindrome (reads the same backward as forward).
4. Factorial Calculation:
Write a function to calculate the factorial of a number.
5. Fibonacci Series:
Generate the first n numbers in the Fibonacci sequence.
6. Check for Prime Number:
Write a program to check if a given number is prime.
7. String Anagrams:
Determine if two strings are anagrams of each other.

8. Array Sorting:
Implement sorting algorithms like bubble sort, merge sort, or quicksort.

9. Binary Search:
Implement a binary search algorithm to find an element in a sorted array.

10. Duplicate Elements in an Array:
Find and print duplicate elements in an array.

11. Linked List Reversal:
Reverse a singly-linked list.

12. Matrix Operations:
Perform matrix operations like addition, multiplication, or transpose.

13. Implement a Stack:
Create a stack data structure and implement basic operations (push, pop).

14. Implement a Queue:
Create a queue data structure and implement basic operations (enqueue, dequeue).

15. Inheritance and Polymorphism:
Implement a class hierarchy with inheritance and demonstrate polymorphism.

16. Exception Handling:
Write code that demonstrates the use of try-catch blocks to handle exceptions.
17. File I/O:
Read from and write to a file using Java's file I/O capabilities.
18. Multithreading:
Create a simple multithreaded program and demonstrate thread synchronization.
19. Lambda Expressions:
Use lambda expressions to implement functional interfaces.
20. Recursive Algorithms:
Solve a problem using recursion, such as computing the factorial or Fibonacci sequence.

Best Java Resources: https://t.iss.one/Java_Programming_Notes

Like for more ❤️

Programming languages and their uses in Ethical hacking :

Programming languages are essential tools for ethical hackers. They are used for tasks such as vulnerability testing, penetration testing, and developing exploits. Here are some programming languages that are commonly used in ethical hacking and their specific uses:

Python: Python is a high-level programming language that is easy to learn and widely used in the field of cybersecurity. It is used for tasks such as penetration testing, reverse engineering, and scripting. Python has a large community of developers who create and maintain libraries that can be used for security purposes, such as Scapy for packet manipulation, PyCrypto for encryption and decryption, and BeautifulSoup for web scraping.

Ruby: Ruby is another high-level programming language that is popular in the cybersecurity community. It is used for developing exploits and automating tasks. Metasploit, one of the most widely used penetration testing tools, is written in Ruby.

C/C++: C and C++ are low-level programming languages that are used for writing exploits and developing rootkits. They are also used for reverse engineering and vulnerability testing. Many of the tools used in ethical hacking, such as Nmap, Wireshark, and Tcpdump, are written in C/C++.

JavaScript: JavaScript is a popular scripting language that is used for web application security testing. It is used for tasks such as cross-site scripting (XSS) and cross-site request forgery (CSRF) testing. Many web-based security tools, such as Burp Suite, are written in JavaScript.

Bash: Bash is a shell scripting language that is used for automating tasks and creating custom scripts. It is commonly used for tasks such as password cracking and network scanning.

SQL: SQL is a database programming language that is used for exploiting and testing SQL injection vulnerabilities in web applications.

In addition to these languages, there are many other programming languages that can be used in ethical hacking, such as Perl, PHP, and Java. The choice of programming language will depend on the specific task at hand and the preference of the individual ethical hacker.