Home Backend Development Python Tutorial Quickly master the skills of PyCharm project packaging

Quickly master the skills of PyCharm project packaging

Dec 30, 2023 pm 12:37 PM
pycharm Project packaging Tips

Quickly master the skills of PyCharm project packaging

Master the tips of PyCharm project packaging in one minute

PyCharm is a powerful Python integrated development environment (IDE) that provides many useful functions to help development to write and debug Python code more efficiently. One of the important functions is project packaging, which can package the entire project into an executable file or a distributable package. This article will introduce tips on how to use PyCharm for project packaging. In order to better help readers understand, we will provide specific code examples.

Before you begin, make sure you have PyCharm installed and a Python project created. Now, let's master the steps of project packaging.

Step one: Set the project path

In PyCharm, open your project, and then click "File" -> "Settings" in the menu bar to open the project settings. In the settings interface, select "Project: [your project name]" -> "Project Interpreter". In the Project Interpreter settings panel you will see a plus button, click on it and select "Show All…". In the pop-up window, select "Python Packaging Tools" and click "Install Package".

Step 2: Create the setup.py file

In the PyCharm project root directory, right-click the mouse and select "New" -> "File". Enter the file name "setup.py" and click "OK" to create a new file. In the setup.py file, we need to define some information, such as project name, version, author, etc. The following is an example setup.py file:

from setuptools import setup

setup(
    name='project_name',
    version='1.0',
    author='your_name',
    description='A sample Python project',
    packages=['package_name'],
    install_requires=[
        'requests',
        'numpy',
    ],
)
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In the example, we use the setuptools library to create a packaging script. In the setup() function, we specify the name, version, author and other information of the project, and also define the libraries that the project depends on. In this example, we assume that the project's code files are in a folder named "package_name".

Step 3: Package the project

Go back to the top menu bar of PyCharm and click "Run" -> "Edit Configurations". In the pop-up dialog box, click the plus button in the upper left corner and select "Python". In the configuration panel on the right, set "Script path" to the setup.py file in the root directory of your project, and fill in the following parameters in the "Parameters" input box:

bdist_wheel
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Click "OK" Save configuration.

Finally, return to the PyCharm menu bar and click "Run" -> "Run 'Python'" or use the shortcut key Ctrl Shift F10 to run the configuration. PyCharm will automatically execute the setup.py file and create a dist folder in the project root directory, which contains the packaged project files.

Through the above three simple steps, we successfully packaged a Python project using PyCharm. This executable can be easily run on other machines without installing the Python interpreter and dependent libraries required for the project.

Summary:

This article introduces the tips of using PyCharm for project packaging and provides specific code examples. Although it only took us a minute to master this technique, in practice, more steps and setup may be required depending on the complexity of the project and the number of dependent libraries. However, this simple example is enough for readers to understand the basic principles and steps of the packaging process. I hope this article can be helpful to readers when using PyCharm for project packaging.

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