With Python, it is also possible to develop multithreaded programs, which can execute multiple threads simultaneously thereby achieving concurrency and higher performance. In this tutorial, we will explore how to develop multithreaded programs in Python. We will cover with the basics of multithreading in this tutorial.

Table of Contents :

  • Creating a thread class
  • Using the Stock class

Creating a thread class :

  • The  threading  module provides the Thread class which can be inherited to create custom threads.
  • To create a thread class, 
    • the main thread class needs to be inherited, and 
    • the   __init__()  and   run()  methods need to be overridden.

import threading

class CustomThread(threading.Thread):
   def __init__(self, name):
       threading.Thread.__init__(self) = name
   def run(self):
       print(f"Thread {} running")

Using the Stock class :

  • Threading module can be used to manage volatile variables such as stock prices.
  • In a stock trading scenario, multiple threads can be created to retrieve and process stock prices.
  • The following code, implements a thread class StockThread that retrieves the stock price for a given symbol:

import threading
import yfinance as yf

class StockThread(threading.Thread):
   def __init__(self, symbol):
       self.symbol = symbol
   def run(self):
       stock = yf.Ticker(self.symbol)
       price =['regularMarketPrice']
       print(f"Price of {self.symbol} is {price}")

The yfinance package is used to retrieve the stock prices of a given symbol.

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