


Python Server Programming: Developing Desktop Applications with PyQt5
Python has become a very popular programming language, and it performs very well in server-side programming. Its high readability and simple syntax bring great convenience to programming. However, in terms of programming desktop applications, Python has encountered some difficulties in the design of GUI interfaces. But now with PyQt5, desktop application development in Python has become easier.
PyQt5 is a widely used Python library that can be used to create desktop applications. PyQt5 is developed based on the Qt framework. Qt is a cross-platform development framework that can run programs on multiple platforms. PyQt5 can be used not only to create desktop applications, but it also has many other applications, such as creating web applications and games.
In this article, we will explore how to develop a simple desktop application using PyQt5, using Python as the server and creating a GUI interface using PyQt5. We will build a simple calculator application where the user can enter mathematical equations and calculate the result. let's start!
To start writing our application, we need installers for Python3 and PyQt5. We can get the Python3 installer from the Python official website and download the PyQt5 installer from the PyQt5 official website.
After the installation is complete, we can start writing our code. First, we need to import the PyQt5 module and create an application window. The following code will create a blank window.
import sys from PyQt5.QtWidgets import QApplication, QMainWindow app = QApplication(sys.argv) win = QMainWindow() win.show() sys.exit(app.exec_())
In this example, we first imported the sys module and the QApplication and QMainWindow classes. Next we create a QApplication object, which is the core object of our application. We also created a QMainWindow object and used the show() method to display the application's window. Finally, use the sys.exit() method to ensure that the program exits safely.
Now we can add some widgets to the window, such as buttons and text boxes, etc. Our application requires two text boxes, one for entering calculations and one for displaying the results, and some buttons for performing arithmetic operations.
Here is the code for our application:
import sys from PyQt5.QtWidgets import QApplication, QMainWindow, QWidget, QLineEdit, QPushButton, QVBoxLayout class Calculator(QWidget): def __init__(self): super().__init__() self.setWindowTitle('Calculator') # 创建两个文本框 self.input_box = QLineEdit() self.result_box = QLineEdit() self.result_box.setReadOnly(True) # 创建按钮 self.btn_1 = QPushButton('1') self.btn_2 = QPushButton('2') self.btn_3 = QPushButton('3') self.btn_4 = QPushButton('4') self.btn_5 = QPushButton('5') self.btn_6 = QPushButton('6') self.btn_7 = QPushButton('7') self.btn_8 = QPushButton('8') self.btn_9 = QPushButton('9') self.btn_0 = QPushButton('0') self.btn_add = QPushButton('+') self.btn_sub = QPushButton('-') self.btn_mul = QPushButton('*') self.btn_div = QPushButton('/') self.btn_calculate = QPushButton('=') self.btn_clear = QPushButton('Clear') # 将按钮连接到处理程序 self.btn_1.clicked.connect(lambda: self.on_click('1')) self.btn_2.clicked.connect(lambda: self.on_click('2')) self.btn_3.clicked.connect(lambda: self.on_click('3')) self.btn_4.clicked.connect(lambda: self.on_click('4')) self.btn_5.clicked.connect(lambda: self.on_click('5')) self.btn_6.clicked.connect(lambda: self.on_click('6')) self.btn_7.clicked.connect(lambda: self.on_click('7')) self.btn_8.clicked.connect(lambda: self.on_click('8')) self.btn_9.clicked.connect(lambda: self.on_click('9')) self.btn_0.clicked.connect(lambda: self.on_click('0')) self.btn_add.clicked.connect(lambda: self.on_click('+')) self.btn_sub.clicked.connect(lambda: self.on_click('-')) self.btn_mul.clicked.connect(lambda: self.on_click('*')) self.btn_div.clicked.connect(lambda: self.on_click('/')) self.btn_calculate.clicked.connect(self.calculate) self.btn_clear.clicked.connect(self.clear) # 创建垂直布局 vbox = QVBoxLayout() vbox.addWidget(self.input_box) vbox.addWidget(self.result_box) vbox.addWidget(self.btn_1) vbox.addWidget(self.btn_2) vbox.addWidget(self.btn_3) vbox.addWidget(self.btn_4) vbox.addWidget(self.btn_5) vbox.addWidget(self.btn_6) vbox.addWidget(self.btn_7) vbox.addWidget(self.btn_8) vbox.addWidget(self.btn_9) vbox.addWidget(self.btn_0) vbox.addWidget(self.btn_add) vbox.addWidget(self.btn_sub) vbox.addWidget(self.btn_mul) vbox.addWidget(self.btn_div) vbox.addWidget(self.btn_calculate) vbox.addWidget(self.btn_clear) # 设置小部件的布局 self.setLayout(vbox) self.show() def on_click(self, key): self.input_box.setText(self.input_box.text() + key) def calculate(self): try: result = eval(self.input_box.text()) self.result_box.setText(str(result)) except: self.result_box.setText('Error') def clear(self): self.input_box.setText('') self.result_box.setText('') if __name__ == '__main__': app = QApplication(sys.argv) win = QMainWindow() calc = Calculator() win.setCentralWidget(calc) win.setWindowTitle('Calculator') win.show() sys.exit(app.exec_())
In this example, we created a class called Calculator, which inherits from QWidget. In the constructor, we set a title for the application window and create two text boxes for entering calculations and displaying results. We also created some buttons that perform various arithmetic operations.
We use QVBoxLayout to set the vertical layout of the widgets in the application. This layout is then set to our widget using the setLayout() method.
We also define three other methods in the code. The on_click() method is a button event handler that adds the character the user clicked on the button to the input box. The calculate() method performs a mathematical calculation and displays the results in the results box. If the user input is not a valid calculation, the result box will display an error message. The clear() method will clear everything in the input and result boxes.
Finally, in the main function, we create a QMainWindow object and set the Calculator object as its center widget. Use the setWindowTitle() method to set the title of the application, and finally use the show() method to display the window.
Now we can run the application. Run the python program in the terminal and save it as a .py file and then execute it.
This is a simple calculator application, but demonstrates the ability to develop very powerful desktop applications using PyQt5. PyQt5 has many other features, such as support for rich Qt styles and themes, extending application functions through the PyQt5 plug-in mechanism, etc.
In short, PyQt5 is a very powerful Python library that can be used to create various types of desktop applications. If you are interested in developing desktop applications or want to learn more about PyQt5, it is recommended to read the official documentation of PyQt5 and its sample code.
The above is the detailed content of Python Server Programming: Developing Desktop Applications with PyQt5. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
