Creating a complete endless runner game involves multiple components and can be quite extensive. Here's a simplified example using the Pygame library. Before running this code, make sure you have Pygame installed (`pip install pygame`).

```python
import pygame
import random
import sys

# Initialize Pygame
pygame.init()

# Constants
WIDTH, HEIGHT = 800, 600
FPS = 60
PLAYER_SIZE = 50
OBSTACLE_SIZE = 50
POWERUP_SIZE = 30
PLAYER_SPEED = 5
OBSTACLE_SPEED = 5
POWERUP_SPEED = 5

# Colors
WHITE = (255, 255, 255)
RED = (255, 0, 0)
BLUE = (0, 0, 255)

# Create the game window
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Endless Runner Game")

# Load images
player_image = pygame.Surface((PLAYER_SIZE, PLAYER_SIZE))
player_image.fill(RED)

obstacle_image = pygame.Surface((OBSTACLE_SIZE, OBSTACLE_SIZE))
obstacle_image.fill(WHITE)

powerup_image = pygame.Surface((POWERUP_SIZE, POWERUP_SIZE))
powerup_image.fill(BLUE)

# Game variables
player = pygame.Rect(WIDTH // 2 - PLAYER_SIZE // 2, HEIGHT - PLAYER_SIZE - 10, PLAYER_SIZE, PLAYER_SIZE)
obstacles = []
powerups = []
score = 0

# Clock to control the frame rate
clock = pygame.time.Clock()

# Game loop
while True:
    for event in pygame.event.get():
        if event.type == pygame.QUIT:
            pygame.quit()
            sys.exit()

    # Move player
    keys = pygame.key.get_pressed()
    if keys[pygame.K_LEFT] and player.left > 0:
        player.x -= PLAYER_SPEED
    if keys[pygame.K_RIGHT] and player.right < WIDTH:
        player.x += PLAYER_SPEED

    # Generate obstacles and power-ups
    if random.randint(1, 100) <= 5:
        obstacle = pygame.Rect(random.randint(0, WIDTH - OBSTACLE_SIZE), 0, OBSTACLE_SIZE, OBSTACLE_SIZE)
        obstacles.append(obstacle)

    if random.randint(1, 100) <= 2:
        powerup = pygame.Rect(random.randint(0, WIDTH - POWERUP_SIZE), 0, POWERUP_SIZE, POWERUP_SIZE)
        powerups.append(powerup)

    # Move obstacles and power-ups
    for obstacle in obstacles:
        obstacle.y += OBSTACLE_SPEED

    for powerup in powerups:
        powerup.y += POWERUP_SPEED

    # Check for collisions
    for obstacle in obstacles:
        if player.colliderect(obstacle):
            pygame.quit()
            sys.exit()

    for powerup in powerups:
        if player.colliderect(powerup):
            powerups.remove(powerup)
            score += 10

    # Remove obstacles and power-ups that are out of the screen
    obstacles = [obstacle for obstacle in obstacles if obstacle.y < HEIGHT]
    powerups = [powerup for powerup in powerups if powerup.y < HEIGHT]

    # Draw everything
    screen.fill((0, 0, 0))
    pygame.draw.rect(screen, RED, player)
    for obstacle in obstacles:
        pygame.draw.rect(screen, WHITE, obstacle)
    for powerup in powerups:
        pygame.draw.rect(screen, BLUE, powerup)

    # Display the score
    font = pygame.font.Font(None, 36)
    score_text = font.render(f"Score: {score}", True, WHITE)
    screen.blit(score_text, (10, 10))

    # Update the display
    pygame.display.flip()

    # Control the frame rate
    clock.tick(FPS)
```

This is a simple endless runner game where the player can move left and right to avoid obstacles. Power-ups increase the score when collected. The game will end if the player collides with an obstacle. Note that this is a basic example, and you can expand and improve upon it by adding more features, graphics, and refining the gameplay. 

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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