🤖 CHATGPT PROMPTS TO FINISH HOURS OF WORK IN SECONDS

🔗 Complete Machine Learning Handwritten Notes 📝

Planning for Data Science or Data Engineering Interview.

Focus on SQL & Python first. Here are some important questions which you should know.

𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬

1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.

𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬

1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.

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ENJOY LEARNING 👍👍

DSA revision Guide 🚀

React ❤️ For More

🚀 Agentic AI is exploding, but which framework should you bet on?

If you’ve tried building AI agents, you know the options are multiplying: LangGraph, LangChain, Autogen, CrewAI, Make.com, n8n… but they’re not interchangeable. Here’s how to make sense of the chaos:

🦜🔄 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵
Think enterprise-grade orchestration. Graph-based, stateful, long-running workflows with loops, branching, and persistent memory. Perfect when your agent system needs durability + complexity.

🦜🔗 LangChain
The OG. Great for chaining prompts, tools, and RAG. If you just need a chatbot, simple agent, or MVP, start here.

🟥🟦🟩🟨 AutogenAI (Microsoft)
Built for multi-agent collaboration. If you want agents to negotiate, coordinate, and tackle big tasks together, this is your go-to.

🤖 CrewAI
Lightweight and flexible. Assemble “crews” of role-specific agents quickly, while keeping granular control. Fast deployments, minimal dependencies.

🥢 Make
Visual, no-code automation for business users. Connect AI to CRMs, reports, SaaS tools—without writing a single line of code.

🟣🔄🟤 n8n
Open-source, node-based automation. Great for RAG-powered workflows and deep data integrations with a visual touch.

💡 Bottom line:
▪️Want enterprise complexity? → LangGraph
▪️Need fast AI app prototyping? → LangChain
▪️Building collaboratively? → Autogen or CrewAI
▪️Prefer drag-and-drop ? → Make.com or n8n

The right choice depends on your workflow complexity, control needs, and dev resources. Agentic AI is not one-size-fits-all!

Harvard University just released free online courses.
No payment is required 👇

1.  Introduction to CS50 programming using Scratch :
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2.  Data Science: Machine Learning:
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4.  Introduction to data science with Python:
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5.  CS50 course to understand technology :
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6.  Explore the basics of Python in Harvard’s CS50 course :
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8.  Web programming using Python and JavaScript :
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10.  Introduction to artificial intelligence in CS50 using Python :
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12. Artificial Intelligence in Business:
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Here is an A-Z list of essential programming terms:

1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations.

2. Boolean: A data type that represents true or false values.

3. Conditional Statement: A statement that executes different code based on a condition.

4. Debugging: The process of identifying and fixing errors or bugs in a program.

5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions.

6. Function: A block of code that performs a specific task and can be called multiple times in a program.

7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus.

8. HTML (Hypertext Markup Language): The standard markup language used to create web pages.

9. Integer: A data type that represents whole numbers without any fractional part.

10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application.

11. Loop: A programming construct that allows repeating a block of code multiple times.

12. Method: A function that is associated with an object in object-oriented programming.

13. Null: A special value that represents the absence of a value.

14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior.

15. Pointer: A variable that stores the memory address of another variable.

16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle.

17. Recursion: A programming technique where a function calls itself to solve a problem.

18. String: A data type that represents a sequence of characters.

19. Tuple: An ordered collection of elements, similar to an array but immutable.

20. Variable: A named storage location in memory that holds a value.

21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true.

Best Programming Resources: https://topmate.io/coding/898340

Join for more: https://news.1rj.ru/str/programming_guide

ENJOY LEARNING 👍👍

10 Simple Habits to Improve Your Coding Skills 🧠💻

🔥 Practice regularly, not just when you're stuck
🔥 Build small projects to apply what you learn
🔥 Review and refactor your old code
🔥 Join coding communities or forums
🔥 Follow coding channels and blogs
🔥 Take part in coding challenges (e.g., LeetCode, HackerRank)
🔥 Keep a code journal or notes
🔥 Learn version control (Git is your friend!)
🔥 Teach someone else — it deepens your understanding
🔥 Stay curious & never stop learning

💬 React "❤️" for more!

React Developer Roadmap 🎯

Follow the proven path to React expertise! Our channel provides structured learning materials, practical examples, and real-world projects that take you from zero to full-stack React developer. Join our community of passionate developers building the future of web.

✅ AI Career Paths & Skills to Master 🤖🚀💼

🔹 1️⃣ Machine Learning Engineer
🔧 Role: Build & deploy ML models
🧠 Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)

🔹 2️⃣ Data Scientist
🔧 Role: Analyze data & create predictive models
🧠 Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML

🔹 3️⃣ NLP Engineer
🔧 Role: Chatbots, text analysis, speech recognition
🧠 Skills: spaCy, Hugging Face, Transformers, Linguistics basics

🔹 4️⃣ Computer Vision Engineer
🔧 Role: Image/video processing, facial recognition, AR/VR
🧠 Skills: OpenCV, YOLO, CNNs, Deep Learning

🔹 5️⃣ AI Product Manager
🔧 Role: Oversee AI product strategy & development
🧠 Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML

🔹 6️⃣ Robotics Engineer
🔧 Role: Design & program industrial robots
🧠 Skills: ROS, Embedded Systems, C++, Path Planning

🔹 7️⃣ AI Research Scientist
🔧 Role: Innovate new AI models & algorithms
🧠 Skills: Advanced Math, Deep Learning, RL, Research papers

🔹 8️⃣ MLOps Engineer
🔧 Role: Deploy & manage ML models at scale
🧠 Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms

💡 Pro Tip: Start with Python & math, then specialize!

👍 Tap ❤️ for more!

🎥 Top 7 YouTube Channels to Get Smarter in AI

If you want to truly understand how neural networks, LLMs, and generative AI work, these 7 channels will level up your AI knowledge fast:

🖱 3Blue1Brown — visual math that makes neural networks intuitive, not intimidating.
🖱 Two Minute Papers — cutting-edge research explained in bite-sized videos.
🖱 Yannic Kilcher — deep analysis of AI papers, trends, and model architectures.
🖱 Lex Fridman — long-form interviews with leading AI researchers and founders.
🖱 Sentdex — hands-on tutorials in Python, machine learning, and PyTorch.
🖱 Henry AI Labs — analytical breakdowns of new research and open models.
🖱 DeepLearningAI — Andrew Ng’s official channel for practical AI courses and case studies.

Each of these channels helps you stay sharp and fluent in the language of modern AI, from math to models to mindset.

Master Javanoscript :

The JavaScript Tree 👇
|
|── Variables
| ├── var
| ├── let
| └── const
|
|── Data Types
| ├── String
| ├── Number
| ├── Boolean
| ├── Object
| ├── Array
| ├── Null
| └── Undefined
|
|── Operators
| ├── Arithmetic
| ├── Assignment
| ├── Comparison
| ├── Logical
| ├── Unary
| └── Ternary (Conditional)
||── Control Flow
| ├── if statement
| ├── else statement
| ├── else if statement
| ├── switch statement
| ├── for loop
| ├── while loop
| └── do-while loop
|
|── Functions
| ├── Function declaration
| ├── Function expression
| ├── Arrow function
| └── IIFE (Immediately Invoked Function Expression)
|
|── Scope
| ├── Global scope
| ├── Local scope
| ├── Block scope
| └── Lexical scope
||── Arrays
| ├── Array methods
| | ├── push()
| | ├── pop()
| | ├── shift()
| | ├── unshift()
| | ├── splice()
| | ├── slice()
| | └── concat()
| └── Array iteration
| ├── forEach()
| ├── map()
| ├── filter()
| └── reduce()|
|── Objects
| ├── Object properties
| | ├── Dot notation
| | └── Bracket notation
| ├── Object methods
| | ├── Object.keys()
| | ├── Object.values()
| | └── Object.entries()
| └── Object destructuring
||── Promises
| ├── Promise states
| | ├── Pending
| | ├── Fulfilled
| | └── Rejected
| ├── Promise methods
| | ├── then()
| | ├── catch()
| | └── finally()
| └── Promise.all()
|
|── Asynchronous JavaScript
| ├── Callbacks
| ├── Promises
| └── Async/Await
|
|── Error Handling
| ├── try...catch statement
| └── throw statement
|
|── JSON (JavaScript Object Notation)
||── Modules
| ├── import
| └── export
|
|── DOM Manipulation
| ├── Selecting elements
| ├── Modifying elements
| └── Creating elements
|
|── Events
| ├── Event listeners
| ├── Event propagation
| └── Event delegation
|
|── AJAX (Asynchronous JavaScript and XML)
|
|── Fetch API
||── ES6+ Features
| ├── Template literals
| ├── Destructuring assignment
| ├── Spread/rest operator
| ├── Arrow functions
| ├── Classes
| ├── let and const
| ├── Default parameters
| ├── Modules
| └── Promises
|
|── Web APIs
| ├── Local Storage
| ├── Session Storage
| └── Web Storage API
|
|── Libraries and Frameworks
| ├── React
| ├── Angular
| └── Vue.js
||── Debugging
| ├── Console.log()
| ├── Breakpoints
| └── DevTools
|
|── Others
| ├── Closures
| ├── Callbacks
| ├── Prototypes
| ├── this keyword
| ├── Hoisting
| └── Strict mode
|
| END __

Java developer - Realistic Approach 💪🩵

1. Learn Java as a whole:
📍Beginner :
- Java Core: Java syntax , Collections framework , Exception Handling , Multithreading ,
File Handling
- Java Intermediate - JDBC , Design Pattern , Generics etc.

💪Pro :
- Advanced Java - Lambdas , streams , time , concurrency utilities , JVM internals
- Design Patterns - Creational , Structural , Behavioral

2. Build Tools:
- Learn and use popular build tools like :
📍Beginner : Maven (Web development) Gradle (App development)
💪Pro : Ant

3. Version Control:
- Master a version control system like Git. Master the skills for
📍Beginner : Github
💪Pro : GitLab , BitBucket

4. Command Line (This can be done parallel to the above 4)
Believe me when it comes to Java development Command line skills will be a boon for you guys.
Start with the basics for eg : install and setup java with Command Line only.

Start using Linux distributions ( it's very necessary ) go to a virtual box or dual boot your systems with any of Ubuntu , Kali Linux , Manjaro etc

5. Learn Servlets and JSP and then go for a framework ( Spring boot

Best Programming Resources: https://topmate.io/coding/898340

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ENJOY LEARNING 👍👍