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Here's a simple Python code using the Turtle graphics library to draw the Indian flag:

import turtle

# Set up the turtle
screen = turtle.Screen()
screen.title("Indian Flag")
t = turtle.Turtle()
t.speed(2)

# Function to draw a rectangle
def draw_rectangle(color, x, y, width, height):
    t.penup()
    t.color(color)
    t.fillcolor(color)
    t.goto(x, y)
    t.begin_fill()
    for _ in range(2):
        t.forward(width)
        t.right(90)
        t.forward(height)
        t.right(90)
    t.end_fill()

# Draw the green rectangle
draw_rectangle("#138808", -300, 150, 600, 300)

# Draw the white rectangle
draw_rectangle("white", -300, 50, 600, 50)

# Draw the orange rectangle
draw_rectangle("#FF9933", -300, -100, 600, 50)

# Draw the circle (Ashoka Chakra)
t.penup()
t.goto(0, 50)
t.pendown()
t.color("#000080")
t.fillcolor("#000080")
t.begin_fill()
t.circle(-45)
t.end_fill()

# Hide the turtle
t.hideturtle()

# Keep the window open
turtle.mainloop()

Copy and run this code in a Python environment with the Turtle graphics library installed to see the Indian flag being drawn.

Solution:

for i in range(n):
     print("1 " * (n-i-1), end="")
     for j in range(i+1):
       print(i+1, end=" ")
     print()
    

Remember, these are just snippets. Feel free to explore more SQL concepts and practices based on your needs! 📚

``` n = 7 for i in range(n): print("1 " * (n-i-1), end="") for j in range(i+1): print(i+1, end=" ") print() ```

Here are some SQL notes for you: 1. Basic Syntax:

   SELECT column1, column2 FROM table_name WHERE condition;
   

2. Filtering Results:

   SELECT * FROM customers WHERE country = 'USA' AND age > 25;
   

3. Sorting Data:

   SELECT * FROM products ORDER BY price DESC;
   

4. Aggregation Functions:

   SELECT AVG(price) AS avg_price FROM products;
   

5. Joins:

   SELECT orders.order_id, customers.customer_name
   FROM orders
   INNER JOIN customers ON orders.customer_id = customers.customer_id;
   

6. Grouping and Counting:

   SELECT country, COUNT(*) AS num_customers
   FROM customers
   GROUP BY country;
   

7. Subqueries:

   SELECT * FROM products WHERE price > (SELECT AVG(price) FROM products);
   

8. Updating Data:

   UPDATE employees SET salary = salary * 1.1 WHERE department = 'IT';
   

9. Inserting Data:

   INSERT INTO products (product_name, price) VALUES ('New Product', 50.99);
   

10. Deleting Data:

    DELETE FROM customers WHERE last_purchase_date < '2023-01-01';
    

Remember, these are just snippets. Feel free to explore more SQL concepts and practices based on your needs! 📚

🇮🇳🇮🇳🇮🇳🇮🇳 Happy Republic day 🇮🇳 🇮🇳 🇮🇳 🇮🇳 🇮🇳

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