✍️ 8 ChatGPT prompts to use when you need a spark of inspiration

Use those prompts as a starting point to move forward when you are at a dead end or have lost your way:

1. Improve your decision making

💡 Prompt:
I am trying to decide if I should [insert decision]. Give me a list of pros and cons that will help me make this decision.

2. Learn from the best

💡 Prompt:
Analyze the top performers in [insert your field of work]. Give me a list of the most important lessons I can learn from them to boost my productivity.

3. Your personalized tutor

💡 Prompt:
I am currently learning about [insert topic]. Ask me a series of questions that will test my knowledge. Identify knowledge gaps in my answers and give me better answers to fill those gaps.

4. ChatGPT as your intern

💡 Prompt:
I am creating a report about [insert topic]. Research and create an in-depth report with a step-by-step guide that will help readers understand how to [insert outcome].

5. Learn any new skill

💡 Prompt:
I want to learn [insert skill]. Generate a 30 day plan that will help a beginner like me learn the skill from scratch.

6. Learn faster than ever with the 80/20 technique

💡 Prompt:
I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.

7. Get ChatGPT to write prompts for you

💡 Prompt:
I am a/an [insert your profession]. Generate a list of most powerful prompts that will help someone in my profession get more done and save time.

8. Rewrite and simplify complex texts

💡 Prompt:
Rewrite the text below in simple and easy to understand words. Simple and easy enough for anyone who doesn't know the subject to understand what I'm trying to say.

𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍 

- Data Analytics and Visualization
- Coding: Development
- Project Management
- Software Engineering

These are perfect for students, freshers, or job seekers looking to stand out in a competitive job market.

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Many people still aren't fully utilizing the power of Telegram.

There are numerous channels on Telegram that can help you find the latest job and internship opportunities?

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ENJOY LEARNING👍👍

𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍

Learn from top faculty & experts - Become a skilled professional 

- Learn from the best
- Learn by doing
- Learn with AI

Get FREE Course Review & Start Learning 

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Important Python Functions 👆

You can use ChatGPT to make money online.

Here are 10 prompts by ChatGPT

1. Develop Email Newsletters:

Make interesting email newsletters to keep audience updated and engaged.

Prompt: "I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?"

2. Create Online Course Material:

Make detailed and educational online course content.

Prompt: "I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?"

Read more......

Key Points in AI: Exploring Fundamentals & Applications

🔹Machine Learning: AI analyzes data, detects patterns, and makes predictions.

🔹NLP: Powers chatbots, translation, and sentiment analysis.

🔹Computer Vision: Enables facial recognition, object detection, and self-driving tech.

🔹Deep Learning: Uses neural networks for advanced image & speech recognition.

🔹Ethical AI: Addresses bias, privacy, and accountability in AI development.

🔹AI in Healthcare: Enhances diagnostics, personalized treatment & drug discovery.

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:

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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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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 🙂

Build Your First AI Agent (Live Session)

GeeksforGeeks is teaming up with Salesforce for a hands-on workshop on AI Agents for working professionals

You'll learn how to:

- Use the Agent Builder

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No fluff. Just a practical session to get started with AI agents inside Salesforce.

You’ll also get a Free Certificate of Participation

Registration link:👇
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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.memo 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 👍👍