


PyCharm Practical Guide: Best Practice Tips for Project Creation
Get started with PyCharm quickly: best practices for project creation, specific code examples are required
Introduction:
PyCharm is a powerful Python integrated development environment ( IDE), which provides many powerful tools and features to help Python developers improve their work efficiency. Project creation is the first step in using PyCharm. The correct way to create a project can lay a solid foundation for our development work. This article will introduce the best practices for PyCharm project creation and provide specific code examples to help readers better understand.
1. Create a project:
Creating a project in PyCharm is very simple. We can click "File->New Project" in the menu bar, then select a directory where the project is saved, then select the project's interpreter, and finally click the "Create" button to complete the project creation. The following is a sample code:
from flask import Flask app = Flask(__name__) @app.route('/') def hello(): return "Hello, World!" if __name__ == '__main__': app.run()
2. Project structure:
After the project is created, we need to organize the structure of the project according to certain specifications. The following is an example of a commonly used project structure:
- myproject/ - app/ - __init__.py - views.py - models.py - tests/ - __init__.py - test_views.py - config.py - requirements.txt - README.md - .gitignore
In this example, we put the application code in a package called "app", and we also have a package called "tests" Packages are used to store test code. In addition, other directories can be added to meet the needs of the project. The root directory of the project usually also contains a configuration file "config.py", a dependency description file "requirements.txt", and a project description file "README.md". To avoid bringing unnecessary files into version control, we can also create a ".gitignore" file to ignore specific files and directories.
3. Code editing:
PyCharm provides many code editing functions to help developers improve code quality and efficiency. The following are some commonly used code editing functions and corresponding code examples:
- Code completion:
PyCharm can automatically complete the code we enter according to the context, and press the Tab key during the input process The code can be completed. For example, after entering "pr" and pressing the Tab key, PyCharm will automatically complete it as "print". - Code Navigation:
We can use the shortcut key Ctrl B (or right-click the mouse) to jump to the definition of the code or return from the definition. For example, we can hover the mouse over the function name and then press the Ctrl key. PyCharm will display the definition of the function and jump to the corresponding location when clicked. - Code Refactoring:
PyCharm provides rich refactoring functions to help us quickly improve the structure and quality of the code. For example, we can use the shortcut key Shift F6 to rename a specific variable, function or class name, and PyCharm will automatically modify all related code. - Code formatting:
PyCharm can help us automatically format code to comply with Python's PEP 8 code style specification. For example, we can use the shortcut key Ctrl Alt L to format the selected code.
4. Code running and testing:
In PyCharm, we can easily run our code, debug and test. The following are some commonly used code running and testing functions and corresponding code examples:
- Code running:
We can right-click the Python file and select "Run" to run our code. For example, with the sample code above, we can start a run server by right-clicking on the file and selecting "Run". - Code debugging:
PyCharm provides powerful code debugging functions. We can use the debugger to check the values of variables and the execution flow of the code. For example, we can add breakpoints in the code and use the shortcut key F9 to start debugging mode. - Unit testing:
PyCharm allows us to easily write and execute unit tests. We can use the shortcut key Shift Ctrl T to quickly create a test file and add test cases. For example, we can write a simple test to verify the functionality of the above example code.
5. Summary:
This article introduces the best practices for creating PyCharm projects and provides some specific code examples to help readers understand better. By following these best practices, we can use PyCharm to develop Python projects more efficiently. Of course, in addition to the functions and practices mentioned in this article, PyCharm has many other powerful functions waiting for us to explore and use. I hope this article can help readers get started with PyCharm quickly and gain a better development experience in daily development.
References:
- PyCharm official documentation: https://www.jetbrains.com/pycharm/
- Flask official documentation: https://flask. palletsprojects.com/
The above is the detailed content of PyCharm Practical Guide: Best Practice Tips for Project Creation. 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



Reasons for PyCharm to run slowly include: Hardware limitations: low CPU performance, insufficient memory, and insufficient storage space. Software related issues: Too many plugins, indexing issues, and large project sizes. Project configuration: Improper configuration of the Python interpreter, excessive file monitoring, and excessive resource consumption by the code analysis function.

To run an ipynb file in PyCharm: open the ipynb file, create a Python environment (optional), run the code cell, use an interactive environment.

Solutions to PyCharm crashes include: check memory usage and increase PyCharm's memory limit; update PyCharm to the latest version; check plug-ins and disable or uninstall unnecessary plug-ins; reset PyCharm settings; disable hardware acceleration; reinstall PyCharm; contact Support staff asked for help.

To remove the PyCharm interpreter: Open the Settings window and navigate to Interpreters. Select the interpreter you want to delete and click the minus button. Confirm the deletion and reload the project if necessary.

How to export Py files in PyCharm: Open the file to be exported, click the "File" menu, select "Export File", select the export location and file name, and click the "Export" button

Method to modify the Python interface to Chinese: Set the Python language environment variable: set PYTHONIOENCODING=UTF-8 Modify the IDE settings: PyCharm: Settings>Appearance and Behavior>Appearance>Language (Chinese); Visual Studio Code: File>Preferences>Search "locale" > Enter "zh-CN" to modify the system locale: Windows: Control Panel > Region > Format (Chinese (China)); macOS: Language and Region > Preferred Language (Chinese (Simplified) drag to the top of the list)

How to install the Pandas module using PyCharm: Open PyCharm, create a new project, and configure the Python interpreter. Enter the command pip install pandas in the terminal to install Pandas. Verify installation: Import pandas in PyCharm's Python script. If there are no errors, the installation is successful.

Configure a run configuration in PyCharm: Create a run configuration: In the "Run/Debug Configurations" dialog box, select the "Python" template. Specify script and parameters: Specify the script path and command line parameters to be run. Set the running environment: select the Python interpreter and modify the environment variables. Debug Settings: Enable/disable debugging features and specify the debugger port. Deployment options: Set remote deployment options, such as deploying scripts to the server. Name and save the configuration: Enter a name for the configuration and save it.
