1. What is auto-py-to-exe
auto-py-to-exe is a graphic used to package Python programs into executable files ization tools. This article mainly introduces how to use auto-py-to-exe to complete python program packaging. auto-py-to-exe is based on pyinstaller. Compared with pyinstaller, it has an additional GUI interface and is simpler and more convenient to use.
2. Install auto-py-to-exe
First We need to ensure that our python environment is greater than or equal to 2.7 and then enter in cmd: pip install auto-py-to-exe. After the input is completed, pip will install the auto-py-to-exe package. After the installation is complete, we can enter: auto-py-to-exe in cmd to start the auto-py-to-exe program.
When the above picture appears, auto-py-to-exe is successfully installed.
3. Introduction to some options of auto-py-to-exe
When using auto-py-to-exe to package python programs, there are many configuration options that we need to specify. How to correctly It's important to know what these options do. Below I'll cover some of the important options.
(1) Script Location
Script Location mainly specifies the python file we want to package
(2) Onefile
There are two options under Onefile, namely: One Directory and One File
- If you select One Directory, the program will be displayed in the form of a folder after packaging is completed
- If you select One File, then after the program packaging is completed, there will be an .exe file
(3) Console Window
Console Window mainly sets whether the console appears when the packaging program is running
- Console Based: When the packaged program is run, a console interface will be displayed
- Window Based (hide the console): The console interface will be hidden, mainly used for programs with GUI python program packaging
(4) Icon
Icon used to specify the packaged program
4. auto-py-to-exe actual combat
This section mainly uses a calculator program to introduce how to use auto-py-to-exe to package the program.
auto-py-to-exe packaging program is mainly divided into 3 parts, namely:
- Open auto-py-to-exe
- Configure packaging options
- Check the packaging effect
1. Open auto-py-to-exe
Open cmd, enter: auto-py-to-exe Open auto-py- to-exe, we have to make configuration selections.
2. Configure packaging options
Calculator program, you can download it from GitHub, the address is: https://github.com/pythonprogrammingbook/simple_calculator
In packaging At this time, the configuration we need to perform mainly includes:
- Script Location
- Onefile
- Console Window
Script Location Select the program For the main program, in the calculator project, we choose main.py
Onefile Select One File because one file looks simpler
Since the calculator project has a GUI, Console Window Select Window Based (hide the console),
Icon Select an ico file, this operation is not required, you don’t need to set it
If there is one in the program For our own module, we must add the module's directory to Additional Files. Otherwise, the Failed to execute script XXX error will appear
#In the calculator program, all our modules are in the calculation directory, so we need to add the calculation path to Additional Files.
After the configuration is completed, click the CONVERT .PY TO .EXE button
In this way, we have completed the packaging of a calculator project.
3. View the packaging effect
After the program completes packaging, we can click the OPEN OUTPUT FOLDER button, and then the path to the packaged file will be opened.
In the packaging file directory, we can see a main.exe file, which is our packaging file.
Click main.exe and you will see a calculator program.
At this point, the packaging work has been successfully completed.
5. Summary
This article mainly introduces how to use auto-py-to-exe to package python programs. But this only introduces the simplest Python program packaging. If you want to package complex programs, the above configuration will definitely not work.
If you want to know more about auto-py-to-exe, I suggest you study pyinstaller. auto-py-to-exe is based on pyinstaller. Studying pyinstaller will have a very obvious effect on our in-depth use of auto-py-to-exe.
If you want to know more about pyinstaller, you can read the official documentation.
The above is the detailed content of Python script packaging exe, auto-py-to-exe will help you!. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software