main.py

 # importing time and threading 
import time 
import threading 
from pynput.mouse import Button, Controller 

# pynput.keyboard is used to watch events of 
# keyboard for start and stop of auto-clicker 
from pynput.keyboard import Listener, KeyCode 


# four variables are created to 
# control the auto-clicker 
delay = 0.001
button = Button.right 
start_stop_key = KeyCode(char='a') 
stop_key = KeyCode(char='b') 

# threading.Thread is used 
# to control clicks 
class ClickMouse(threading.Thread): 
	
# delay and button is passed in class 
# to check execution of auto-clicker 
	def __init__(self, delay, button): 
		super(ClickMouse, self).__init__() 
		self.delay = delay 
		self.button = button 
		self.running = False
		self.program_running = True

	def start_clicking(self): 
		self.running = True

	def stop_clicking(self): 
		self.running = False

	def exit(self): 
		self.stop_clicking() 
		self.program_running = False

	# method to check and run loop until 
	# it is true another loop will check 
	# if it is set to true or not, 
	# for mouse click it set to button 
	# and delay. 
	def run(self): 
		while self.program_running: 
			while self.running: 
				mouse.click(self.button) 
				time.sleep(self.delay) 
			time.sleep(0.1) 


# instance of mouse controller is created 
mouse = Controller() 
click_thread = ClickMouse(delay, button) 
click_thread.start() 


# on_press method takes 
# key as argument 
def on_press(key): 
	
# start_stop_key will stop clicking 
# if running flag is set to true 
	if key == start_stop_key: 
		if click_thread.running: 
			click_thread.stop_clicking() 
		else: 
			click_thread.start_clicking() 
			
	# here exit method is called and when 
	# key is pressed it terminates auto clicker 
	elif key == stop_key: 
		click_thread.exit() 
		listener.stop() 


with Listener(on_press=on_press) as listener: 
	listener.join()

created 9 months ago

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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

Name	Description
NumPy	NumPy python library helps users to work on arrays with ease
SciPy	SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learn	Scikit-learn or Scikit-learn is the most useful library for machine learning in Python
Pandas	Pandas is the most efficient Python library for data manipulation and analysis
Matplotlib	Matplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy
DOcplex	DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling