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This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. ๐๐
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. ๐งฎ๐ค
Free public repository on GitHub. ๐ปโจ
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#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI
This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. ๐๐
It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. ๐งฎ๐ค
Free public repository on GitHub. ๐ปโจ
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๐ง SQL Interview Question (ModerateโTricky & Duplicate Transaction Detection)
๐
transactions(transaction_id, user_id, transaction_date, amount)
โ Ques :
๐ Find users who made multiple transactions with the same amount consecutively.
๐งฉ How Interviewers Expect You to Think
โข Sort transactions chronologically for each user
โข Compare the current transaction amount with the previous one
โข Use a window function to detect consecutive duplicates
๐ก SQL Solution
SELECT
user_id,
transaction_date,
amount
FROM (
SELECT
user_id,
transaction_date,
amount,
LAG(amount) OVER (
PARTITION BY user_id
ORDER BY transaction_date
) AS prev_amount
FROM transactions
) t
WHERE amount = prev_amount;
๐ฅ Why This Question Is Powerful
โข Tests understanding of LAG() for row comparison
โข Evaluates ability to identify patterns in sequential data
โข Reflects real-world use cases like detecting suspicious or duplicate transactions
โค๏ธ React if you want more tricky real interview-level SQL questions ๐
๐
transactions(transaction_id, user_id, transaction_date, amount)
โ Ques :
๐ Find users who made multiple transactions with the same amount consecutively.
๐งฉ How Interviewers Expect You to Think
โข Sort transactions chronologically for each user
โข Compare the current transaction amount with the previous one
โข Use a window function to detect consecutive duplicates
๐ก SQL Solution
SELECT
user_id,
transaction_date,
amount
FROM (
SELECT
user_id,
transaction_date,
amount,
LAG(amount) OVER (
PARTITION BY user_id
ORDER BY transaction_date
) AS prev_amount
FROM transactions
) t
WHERE amount = prev_amount;
๐ฅ Why This Question Is Powerful
โข Tests understanding of LAG() for row comparison
โข Evaluates ability to identify patterns in sequential data
โข Reflects real-world use cases like detecting suspicious or duplicate transactions
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Coding Interview Prep Guide ๐ป๐ฅ
1๏ธโฃ Core Programming Fundamentals
โข Variables, data types, operators
โข Control flow (loops, conditions)
โข Functions recursion
โข Time space complexity basics
โข Debugging mindset
2๏ธโฃ Data Structures (High Priority)
โข Arrays Strings
โข Linked Lists
โข Stacks Queues
โข HashMaps / Dictionaries
โข Trees Binary Trees
โข Heaps Priority Queues
โข Graphs (BFS, DFS)
3๏ธโฃ Algorithms You MUST Know
โข Searching (Binary Search)
โข Sorting (Quick, Merge, Heap)
โข Recursion Backtracking
โข Greedy algorithms
โข Dynamic Programming
โข Sliding Window
โข Two Pointers
โข Prefix Sum
4๏ธโฃ Problem-Solving Patterns
โข Brute force โ optimized approach
โข Hashing for lookups
โข Divide and conquer
โข Recursion โ DP conversion
โข Spaceโtime tradeoffs
5๏ธโฃ Language-Specific Prep
โข Python / Java / C++ fundamentals
โข Built-in data structures
โข Edge cases constraints
โข Writing clean, readable code
โข Input/output handling
6๏ธโฃ Coding Interview Expectations
โข Explain approach before coding
โข Write code step-by-step
โข Handle edge cases
โข Analyze time space complexity
โข Optimize if asked
7๏ธโฃ Common Interview Questions
โข Reverse a string / array
โข Find duplicates
โข Two Sum / Subarray problems
โข Palindrome checks
โข Tree traversal
โข LRU Cache
โข Longest substring problems
8๏ธโฃ Where to Practice
โข LeetCode (Top priority)
โข HackerRank
โข Codeforces
โข CodeChef
โข GeeksforGeeks
9๏ธโฃ Mock Interview Focus
โข Think out loud
โข Donโt panic on hard questions
โข Ask clarifying questions
โข Partial solutions still matter
โข Correct approach > perfect code
๐ Pro Tips
โ๏ธ Master patterns, not random problems
โ๏ธ Revise mistakes weekly
โ๏ธ Practice writing code without IDE help
โ๏ธ Speed improves with consistency
โ๏ธ Interviews test thinking, not memory
Double Tap โฅ๏ธ For More
1๏ธโฃ Core Programming Fundamentals
โข Variables, data types, operators
โข Control flow (loops, conditions)
โข Functions recursion
โข Time space complexity basics
โข Debugging mindset
2๏ธโฃ Data Structures (High Priority)
โข Arrays Strings
โข Linked Lists
โข Stacks Queues
โข HashMaps / Dictionaries
โข Trees Binary Trees
โข Heaps Priority Queues
โข Graphs (BFS, DFS)
3๏ธโฃ Algorithms You MUST Know
โข Searching (Binary Search)
โข Sorting (Quick, Merge, Heap)
โข Recursion Backtracking
โข Greedy algorithms
โข Dynamic Programming
โข Sliding Window
โข Two Pointers
โข Prefix Sum
4๏ธโฃ Problem-Solving Patterns
โข Brute force โ optimized approach
โข Hashing for lookups
โข Divide and conquer
โข Recursion โ DP conversion
โข Spaceโtime tradeoffs
5๏ธโฃ Language-Specific Prep
โข Python / Java / C++ fundamentals
โข Built-in data structures
โข Edge cases constraints
โข Writing clean, readable code
โข Input/output handling
6๏ธโฃ Coding Interview Expectations
โข Explain approach before coding
โข Write code step-by-step
โข Handle edge cases
โข Analyze time space complexity
โข Optimize if asked
7๏ธโฃ Common Interview Questions
โข Reverse a string / array
โข Find duplicates
โข Two Sum / Subarray problems
โข Palindrome checks
โข Tree traversal
โข LRU Cache
โข Longest substring problems
8๏ธโฃ Where to Practice
โข LeetCode (Top priority)
โข HackerRank
โข Codeforces
โข CodeChef
โข GeeksforGeeks
9๏ธโฃ Mock Interview Focus
โข Think out loud
โข Donโt panic on hard questions
โข Ask clarifying questions
โข Partial solutions still matter
โข Correct approach > perfect code
๐ Pro Tips
โ๏ธ Master patterns, not random problems
โ๏ธ Revise mistakes weekly
โ๏ธ Practice writing code without IDE help
โ๏ธ Speed improves with consistency
โ๏ธ Interviews test thinking, not memory
Double Tap โฅ๏ธ For More
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Master the most in-demand tech skills and kickstart your career with industry-leading training.
๐ฏ Program Highlights:
โ Learn Coding from Industry Experts
โ Real-World Projects & Interview Preparation
โ Dedicated Placement Support
โ Avg. Package: โน7.2 LPA
โ Highest Package: โน41 LPA ๐
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Advanced JavaScript Interview Questions with Answers ๐ผ๐ง
1. What is a closure in JavaScript?
A closure is a function that retains access to its outer function's variables even after the outer function returns, creating a private scope.
This is useful for data privacy but watch for memory leaks with large closures.
2. Explain event delegation.
Event delegation attaches one listener to a parent element to handle events from child elements via
Example:
3. What is the difference between == and ===?
โฆ
โฆ
Always prefer
4. What is the "this" keyword?
Example: Regular:
5. What are Promises?
Promises handle async operations with states: pending, fulfilled (resolved), or rejected. They chain with
In 2025, they're foundational for async code but often paired with async/await.
6. Explain async/await.
Async/await simplifies Promise-based async code, making it read like synchronous code with
It's cleaner for complex flows but requires error handling.
7. What is hoisting?
Hoisting moves variable and function declarations to the top of their scope before execution, but only declarations (not initializations).
8. What are arrow functions and how do they differ?
Arrow functions (
Great for callbacks, but avoid in object methods where
9. What is the event loop?
The event loop manages JS's single-threaded async nature by processing the call stack, then microtasks (Promises), then macrotasks (setTimeout) from queues. It enables non-blocking I/O.
Key: Call stack โ Microtask queue โ Task queue. This keeps UI responsive in 2025's complex web apps.
10. What are IIFEs (Immediately Invoked Function Expressions)?
IIFEs run immediately upon definition, creating a private scope to avoid globals.
Less common now with modules, but useful for one-off initialization.
๐ฌ Double Tap โค๏ธ For More
1. What is a closure in JavaScript?
A closure is a function that retains access to its outer function's variables even after the outer function returns, creating a private scope.
function outer() {
let count = 0;
return function inner() {
count++;
console.log(count);
}
}
const counter = outer();
counter(); // 1
counter(); // 2
This is useful for data privacy but watch for memory leaks with large closures.
2. Explain event delegation.
Event delegation attaches one listener to a parent element to handle events from child elements via
event.target, improving performance by avoiding multiple listeners. Example:
document.querySelector('ul').addEventListener('click', (e) => {
if (e.target.tagName === 'LI') {
console.log('List item clicked:', e.target.textContent);
}
});
3. What is the difference between == and ===?
โฆ
== checks value equality with type coercion (e.g., '5' == 5 is true).โฆ
=== checks value and type strictly (e.g., '5' === 5 is false). Always prefer
=== to avoid unexpected coercion bugs.4. What is the "this" keyword?
this refers to the object executing the current function. In arrow functions, it's lexically bound to the enclosing scope, not dynamic like regular functions. Example: Regular:
this changes with call context; Arrow: this inherits from parent.5. What are Promises?
Promises handle async operations with states: pending, fulfilled (resolved), or rejected. They chain with
.then() and .catch().const p = new Promise((resolve, reject) => {
resolve("Success");
});
p.then(console.log); // "Success"
In 2025, they're foundational for async code but often paired with async/await.
6. Explain async/await.
Async/await simplifies Promise-based async code, making it read like synchronous code with
try/catch for errors.async function fetchData() {
try {
const res = await fetch('url');
const data = await res.json();
return data;
} catch (error) {
console.error(error);
}
}
It's cleaner for complex flows but requires error handling.
7. What is hoisting?
Hoisting moves variable and function declarations to the top of their scope before execution, but only declarations (not initializations).
console.log(a); // undefined (not ReferenceError)
var a = 5;
let and const are hoisted but in a "temporal dead zone," causing errors if accessed early.8. What are arrow functions and how do they differ?
Arrow functions (
=>) provide concise syntax and don't bind their own this, arguments, or superโthey inherit from the enclosing scope.const add = (a, b) => a + b; // No {} needed for single expression
Great for callbacks, but avoid in object methods where
this matters.9. What is the event loop?
The event loop manages JS's single-threaded async nature by processing the call stack, then microtasks (Promises), then macrotasks (setTimeout) from queues. It enables non-blocking I/O.
Key: Call stack โ Microtask queue โ Task queue. This keeps UI responsive in 2025's complex web apps.
10. What are IIFEs (Immediately Invoked Function Expressions)?
IIFEs run immediately upon definition, creating a private scope to avoid globals.
(function() {
console.log("Runs immediately");
var privateVar = 'hidden';
})();
Less common now with modules, but useful for one-off initialization.
๐ฌ Double Tap โค๏ธ For More
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๐ฐ Avg Salary: โน6โ16 LPA (India) / 95K+ USD (Global)
2๏ธโฃ Backend Developer
โถ๏ธ Skills: Node.js, Python, Java, APIs, Databases
๐ฐ Avg Salary: โน8โ20 LPA / 105K+
3๏ธโฃ Full-Stack Developer
โถ๏ธ Skills: React/Next.js, Node.js, SQL/NoSQL, REST APIs
๐ฐ Avg Salary: โน9โ22 LPA / 110K+
4๏ธโฃ JavaScript Developer
โถ๏ธ Skills: JavaScript, TypeScript, React, Angular, Vue
๐ฐ Avg Salary: โน8โ18 LPA / 100K+
5๏ธโฃ WordPress Developer
โถ๏ธ Skills: WordPress, PHP, Themes, Plugins, SEO Basics
๐ฐ Avg Salary: โน5โ12 LPA / 85K+
6๏ธโฃ Web Performance Engineer
โถ๏ธ Skills: Core Web Vitals, Lighthouse, Optimization, CDN
๐ฐ Avg Salary: โน10โ22 LPA / 115K+
7๏ธโฃ Web Security Specialist
โถ๏ธ Skills: Web Security, OWASP, Pen Testing, Secure Coding
๐ฐ Avg Salary: โน12โ24 LPA / 120K+
8๏ธโฃ UI Developer
โถ๏ธ Skills: HTML, CSS, JavaScript, UI Frameworks, Responsive Design
๐ฐ Avg Salary: โน6โ15 LPA / 95K+
9๏ธโฃ Headless CMS Developer
โถ๏ธ Skills: Strapi, Contentful, GraphQL, Next.js
๐ฐ Avg Salary: โน10โ20 LPA / 110K+
๐ Web3 / Blockchain Developer
โถ๏ธ Skills: Solidity, Smart Contracts, Web3.js, Ethereum
๐ฐ Avg Salary: โน12โ28 LPA / 130K+
๐ Web development remains one of the most accessible and high-demand tech careers worldwide.
Double Tap โค๏ธ if this helped you!
1๏ธโฃ Frontend Developer
โถ๏ธ Skills: HTML, CSS, JavaScript, React, Next.js
๐ฐ Avg Salary: โน6โ16 LPA (India) / 95K+ USD (Global)
2๏ธโฃ Backend Developer
โถ๏ธ Skills: Node.js, Python, Java, APIs, Databases
๐ฐ Avg Salary: โน8โ20 LPA / 105K+
3๏ธโฃ Full-Stack Developer
โถ๏ธ Skills: React/Next.js, Node.js, SQL/NoSQL, REST APIs
๐ฐ Avg Salary: โน9โ22 LPA / 110K+
4๏ธโฃ JavaScript Developer
โถ๏ธ Skills: JavaScript, TypeScript, React, Angular, Vue
๐ฐ Avg Salary: โน8โ18 LPA / 100K+
5๏ธโฃ WordPress Developer
โถ๏ธ Skills: WordPress, PHP, Themes, Plugins, SEO Basics
๐ฐ Avg Salary: โน5โ12 LPA / 85K+
6๏ธโฃ Web Performance Engineer
โถ๏ธ Skills: Core Web Vitals, Lighthouse, Optimization, CDN
๐ฐ Avg Salary: โน10โ22 LPA / 115K+
7๏ธโฃ Web Security Specialist
โถ๏ธ Skills: Web Security, OWASP, Pen Testing, Secure Coding
๐ฐ Avg Salary: โน12โ24 LPA / 120K+
8๏ธโฃ UI Developer
โถ๏ธ Skills: HTML, CSS, JavaScript, UI Frameworks, Responsive Design
๐ฐ Avg Salary: โน6โ15 LPA / 95K+
9๏ธโฃ Headless CMS Developer
โถ๏ธ Skills: Strapi, Contentful, GraphQL, Next.js
๐ฐ Avg Salary: โน10โ20 LPA / 110K+
๐ Web3 / Blockchain Developer
โถ๏ธ Skills: Solidity, Smart Contracts, Web3.js, Ethereum
๐ฐ Avg Salary: โน12โ28 LPA / 130K+
๐ Web development remains one of the most accessible and high-demand tech careers worldwide.
Double Tap โค๏ธ if this helped you!
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Companies usually let you choose, in which case you should use your most comfortable language. If you know a bunch of languages, prefer one that lets you express more with fewer characters and fewer lines of code, like Python or Ruby. It keeps your whiteboard cleaner.
Try to stick with the same language for the whole interview, but sometimes you might want to switch languages for a question. E.g., processing a file line by line will be far easier in Python than in C++.
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