Python ThreadPoolExecutor Summary: in this tutorial, you’ll learn how to use the Python ThreadPoolExecutor to develop multi-threaded programs. Introduction to the Python ThreadPoolExecutor class In the multithreading tutorial, you learned how to manage multiple threads in a program using the Thread class of the threading module. The Thread class is useful when you want to…
Read more
Python Thread-safe Queue Summary: in this tutorial, you’ll learn how to use a synchronized queue to exchange data safely between multiple threads. Introduction to the Python thread-safe queue The built-in queue module allows you to exchange data safely between multiple threads. The Queue class in the queue module implements all required locking semantics. Creating a…
Read more
Python Daemon Threads Summary: in this tutorial, you’ll learn about Python daemon threads and how to use them effectively. Introduction to the Python daemon threads In Python, every program has at least one thread called the main thread. To create a program that has more than one thread, you use the threading module. By using multiple threads…
Read more
Python Multithreading Example Summary: in this tutorial, you’ll learn how to use the Python threading module to develop a multithreaded program. Inheriting from the Thread class We’ll develop a multithreaded program that scraps the stock prices from the Yahoo Finance website. To do that, we’ll use two third-party packages: requests – to get the contents…
Read more
Python Threading Summary: in this tutorial, you’ll learn how to use the Python threading module to develop multi-threaded applications. Single-threaded applications Let’s start with a simple program: from time import sleep, perf_counter def task(): print(‘Starting a task…’) sleep(1) print(‘done’) start_time = perf_counter() task() task() end_time = perf_counter() print(f’It took {end_time- start_time: 0.2f} second(s) to complete.’)…
Read more
What are the Differences between Processes and Threads Summary: in this tutorial, you’ll learn about the processes and threads, and more importantly, the main differences between them. Introduction to processes and threads Suppose that you have a simple Python program: x = 10 y = 20 z = x + y Computers don’t understand…
Read more
Python Concurrency In this section, you’ll learn about Python concurrency including multithreading, multiprocessing, and asynchronous programming from scratch. What you’ll learn: Build high-performance & responsive Python applications using concurrency techniques. Develop multithreaded applications using multithreading. Develop a program that processes tasks in parallel. Understand the single-threaded concurrency model. Section 1. Multithreading In this section, you’ll…
Read more
Python Context Managers Summary: in this tutorial, you’ll learn about Python context managers and how to use them effectively Introduction to Python context managers A context manager is an object that defines a runtime context executing within the with statement. Let’s start with a simple example to understand the context manager concept. Suppose that you…
Read more
Python Generator Expressions Summary: in this tutorial, you’ll learn about the Python generator expression to create a generator object. Introduction to generator expressions A generator expression is an expression that returns a generator object. Basically, a generator function is a function that contains a yield statement and returns a generator object. For example, the following…
Read more
Python Generators Summary: in this tutorial, you’ll learn about Python generators and how to use generators to create iterators Introduction to Python generators Typically, Python executes a regular function from top to bottom based on the run-to-completion model. It means that Python cannot pause a regular function midway and then resumes the function after that.…
Read more