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Showing posts with the label for loop tricky examples

### 5 SQL Queries That Popularly Used in Data Analysis

Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ

# Python For Loop increment Tricky Example

Here's tricky for loop example in Python. The usage of FOR LOOP is to create loops. How many times the loop will execute you may supply in the input. Python for loop example My Project is to get each character from the input String. I have used for loop to achieve this. Let me explain how I did this. Explained Tricky FOR LOOP Examples. 1. Python For Loop Array >> for value in variable Here's an example: >> myName = 'srinimf' >> for value in myName ...        print(value) The result is as follows: s r i n i m f 2. Python For Loop With '1' to '10' or 'n' for ( i = 1 ; i <= 10 ; i ++ ) < loop body > This for loop is useful to create a definite-loop. The maximum number of loops here are '10'. In the body, you need to add Python logic. This is one of the tricky and most popular examples. 3. Python For Loop a Flow Chart Explanation: The 'letter' contains Value The 'state