import pygame as pg
#run in pygame
import tkinter as tk
import random

def run_pygame(name, age):
    pg.init()
    
    # Display setup
    screen_width = 800
    screen_height = 600
    screen = pg.display.set_mode((screen_width, screen_height))
    pg.display.set_caption("Pygame Text Example")
    
    # Font setup
    font = pg.font.Font(None, 50)
    
    # Button setup
    button_font = pg.font.Font(None, 24)
    button_text = button_font.render("Change Color", True, (255, 255, 255))
    button_rect = button_text.get_rect(topright=(screen_width - 20, 20))
    
    # Random color function
    def random_color():
        return random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)
    
    # Background color
    bg_color = (0, 0, 0)  # Initial background color
    
    # Main loop
    running = True
    start_time = pg.time.get_ticks()  # Get the current time in milliseconds
    while running:
        for event in pg.event.get():
            if event.type == pg.QUIT:
                running = False
            elif event.type == pg.MOUSEBUTTONDOWN:
                if button_rect.collidepoint(event.pos):
                    bg_color = random_color()  # Change background color
        
        # Clear the screen with the new background color
        screen.fill(bg_color)
        
        # Render the text
        text1 = "Hello, " + name
        text_surface1 = font.render(text1, True, (255, 255, 153))  # Yellow color
        text_rect1 = text_surface1.get_rect(center=(screen_width // 2, screen_height // 2))
        screen.blit(text_surface1, text_rect1)
        
        # Check if 10 seconds have passed
        current_time = pg.time.get_ticks()
        if current_time - start_time >= 10000:  # 10 seconds in milliseconds
            if age > 5.5:
                text2 = "Thank you for testing out this program."
            else:
                text2 = "You are too young."
            
            text_surface2 = font.render(text2, True, (255, 255, 153))  # Yellow color
            text_rect2 = text_surface2.get_rect(center=(screen_width // 2, screen_height // 2 + 100))  # Offset below the first text
            screen.blit(text_surface2, text_rect2)
        
        # Draw the button
        pg.draw.rect(screen, (100, 100, 100), button_rect)  # Gray button
        screen.blit(button_text, button_rect.topleft)
        
        # Update the display
        pg.display.flip()
    
    # Quit Pygame
    pg.quit()

def run_tkinter():
    root = tk.Tk()
    # Tkinter code here
    root.mainloop()

if __name__ == "__main__":
    name = input("What's your name?   ")
    age = float(input("What's your age?   "))
    
    # Run Pygame in a separate function
    run_pygame(name, age)

    # Run Tkinter in a separate function
    run_tkinter() 

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code 

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling