Programming Books

🚀 JavaScript Interview Questions with Answers — Part 1 1. What is JavaScript? JavaScript is a high-level, interpreted programming language used to create interactive and dynamic web pages. It runs in web browsers and can also be used for backend development with Node.js. Common Uses: Interactive websites Form validation Animations API calls Web applications Backend development Example: console.log("Hello JavaScript"); 2. What are the different data types in JavaScript? JavaScript has two categories of data types. Primitive Data Types String Number Boolean Undefined Null BigInt Symbol Non-Primitive (Reference) Data Types Object Array Function Example: let name = "Deepak"; // String let age = 25; // Number let isActive = true; // Boolean let data = null; // Null let value; // Undefined 3. What is the difference between var, let, and const? Feature | var | let | const Scope | Function | Block | Block Reassign | ✅ Yes | ✅ Yes | ❌ No Redeclare | ✅ Yes | ❌ No | ❌ No Hoisted | ✅ Yes | ✅ Yes (TDZ) | ✅ Yes (TDZ) Example: var a = 10; let b = 20; const c = 30; Interview Tip: Use const by default, let when the value changes, and avoid var in modern JavaScript. 4. What are primitive and non-primitive data types? Primitive Data Types Stored by value. Examples: String Number Boolean Null Undefined BigInt Symbol Non-Primitive Data Types Stored by reference. Examples: Objects Arrays Functions Example: let a = 10; let b = a; b = 20; console.log(a); // 10 Reference Example: const obj1 = { name: "John" }; const obj2 = obj1; obj2.name = "Mike"; console.log(obj1.name); // Mike 5. What is type coercion? Type coercion is JavaScript's automatic conversion of one data type into another during operations or comparisons. Example: console.log("5" + 2); // "52" console.log("5" - 2); // 3 Types: Implicit coercion (automatic) Explicit coercion (manual) Explicit Example: Number("10"); //… Read in full →

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🗄️ SQL Important Tips for Beginners If you're starting SQL for Data Analytics, don't try to memorize hundreds of queries. Focus on understanding how SQL thinks and practice consistently. 1. Master the basic SQL order Learn these clauses first: • SELECT • FROM • WHERE • GROUP BY • HAVING • ORDER BY • LIMIT Understand what each one does before moving to advanced SQL. 2. Understand the logical execution order SQL doesn't logically execute a query in the same order you write it. A simplified order is: • FROM • WHERE • GROUP BY • HAVING • SELECT • ORDER BY • LIMIT This helps explain many SQL interview questions. 3. Get comfortable with filtering Master: • WHERE • AND / OR / NOT • IN • BETWEEN • LIKE • IS NULL / IS NOT NULL Note: use IS NULL, not = NULL. 4. Learn aggregate functions properly You should be comfortable with: • COUNT() • SUM() • AVG() • MIN() • MAX() Example: SELECT department, AVG(salary) FROM employees GROUP BY department; 5. Understand GROUP BY vs HAVING • WHERE → filters rows before grouping • HAVING → filters groups after aggregation Example: SELECT department, COUNT(*) AS employees FROM employees GROUP BY department HAVING COUNT(*) > 10; 6. Master JOINs For Data Analyst interviews, JOINs are extremely important. Learn: • INNER JOIN • LEFT JOIN • RIGHT JOIN • FULL OUTER JOIN • CROSS JOIN • SELF JOIN Most importantly, understand why rows are included or excluded in each JOIN. 7. Always understand your keys Know the difference between: • Primary Key • Foreign Key • Composite Key • Unique Key Understanding relationships between tables will make JOINs much easier. 8. Don't ignore NULL NULL does not mean: • 0 • Empty string • False Learn how NULL behaves with: IS NULL, IS NOT NULL, COALESCE(), NULLIF() 9. Learn CASE WHEN early CASE is one of the most useful SQL features for analytics. SELECT employee, salary, CASE WHEN salary >= 100000 THEN 'High' WHE… Read in full →

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