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5 Useful Python Tricks you should know

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SQL Interview Questions for 0-1 year of Experience (Asked in Top Product-Based Companies). Sharpen your SQL skills with these real interview questions! Q1. Customer Purchase Patterns - You have two tables, Customers and Purchases: CREATE TABLE Customers ( customer_id INT PRIMARY KEY, customer_name VARCHAR(255) ); CREATE TABLE Purchases ( purchase_id INT PRIMARY KEY, customer_id INT, product_id INT, purchase_date DATE ); Assume necessary INSERT statements are already executed. Write an SQL query to find the names of customers who have purchased more than 5 different products within the last month. Order the result by customer_name. Q2. Call Log Analysis - Suppose you have a CallLogs table: CREATE TABLE CallLogs ( log_id INT PRIMARY KEY, caller_id INT, receiver_id INT, call_start_time TIMESTAMP, call_end_time TIMESTAMP ); Assume necessary INSERT statements are already executed. Write a query to find the average call duration per user. Include only users who have made more than 10 calls in total. Order the result by average duration descending. Q3. Employee Project Allocation - Consider two tables, Employees and Projects: CREATE TABLE Employees ( employee_id INT PRIMARY KEY, employee_name VARCHAR(255), department VARCHAR(255) ); CREATE TABLE Projects ( project_id INT PRIMARY KEY, lead_employee_id INT, project_name VARCHAR(255), start_date DATE, end_date DATE ); Assume necessary INSERT statements are already executed. The goal is to write an SQL query to find the names of employees who have led more than 3 projects in the last year. The result should be ordered by the number of projects led.

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Advanced programming concepts you should know 👇👇 ✅ 1. Object-Oriented Programming (OOP) Think of it like real life: A car is an object with properties (color, speed) and methods (drive, brake). You build code using reusable objects. ✅ 2. Inheritance Like family traits: A child class gets features from a parent class. Example: A Dog class can inherit from an Animal class. ✅ 3. Polymorphism One thing, many forms. Like a button that does different things depending on the app. Same action, different results. ✅ 4. Encapsulation Hiding details to keep it clean. Like using a microwave—you press a button, don’t worry about how it works inside. ✅ 5. Recursion When a function calls itself. Like Russian dolls inside each other. Useful for problems like solving a maze or calculating factorials. ✅ 6. Asynchronous Programming Doing many things at once. Like cooking while waiting for a download. It avoids “blocking” other tasks. ✅ 7. APIs Like a waiter between your code and a service. You say, “Get me the weather,” the API brings the data for you. ✅ 8. Data Structures & Algorithms Data structures = ways to organize info (like shelves). Algorithms = steps to solve a problem (like a recipe). ✅ 9. Big-O Notation A way to measure how fast or slow your code runs as data grows. More efficient code = faster apps! ✅ 10. Design Patterns Reusable solutions to common coding problems. Like blueprints for building a house, but for code. React ♥️ for more

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