Python Tutorial

Python Asyncio is a library that provides an easy way to write asynchronous code in Python. Asyncio allows you to write non-blocking code that runs concurrently, making it an ideal choice for building high-performance networking applications, web applications, and other I/O-bound tasks. In this article, I will tell you how to install python asyncio library […]

In this article, I will tell you how to control your mobile phone’s camera to take photos, and then send the photos to your mailbox by email in python. To implement this, you should use 3 python libraries, they are opencv, email, and smtplib. You can call the camera to take pictures and save the

In this article, I will tell you how to create a chatbot using 3 python libraries step by step. One python library is OpenAI, the other library is revChatGPT, and the last library is chatgpt.

In this article, I will tell you how to use the ast.literal_eval() method convert strings to dictionary in python. I will also tell you how to use the dict() function to convert numbers, tuples to dictionary in python with examples.

In this article, I will tell you what is PyQt and how to install PyQt in python, and a hello world example implemented in PyQt. It will introduce both PyQt5 and PyQt6.

I use python 3 to develop my project, and I run a function such as ‘test1‘ on three different threads. Each thread is locked until the function is completed, and a reset lock is created when the thread starts. I am aiming to have each thread start, loop through the code quickly, and restart threads

Python Flask is the perfect tool to quickly and easily create web apps and display data from Postgres. It is a lightweight web framework that is fast, reliable, and easy to use. With Flask, you can build web applications that interact with Postgres and display images in the browser. To use Python Flask and Postgres

Using Python3 to match against multiple criteria is relatively simple. In this article, I will tell you how to implement it using 2 methods. One way is to use the python all function, the other way is to use the python itertools library.