How to set pycharm environment variables
Environment variable settings in PyCharm are used to specify the program running environment, including paths, libraries, etc. The steps are as follows: Enter "Run/Debug Configurations"; create a new or edit configuration; select the "Environment Variables" tab; add variables, including variable names and values; delete variables; save changes.
PyCharm environment variable settings
The environment variables in PyCharm are used to specify the running environment of the program, including the path , libraries and other settings. Setting environment variables correctly is crucial as it ensures that programs run correctly.
Steps:
- Navigate to "Run/Debug Configurations": Go to the "Run" menu and select "Edit Configurations" ".
- New or Edit Configuration: If you have already defined a configuration for your project, select it; otherwise, click the " " button to create a new configuration.
- Select the "Environment Variables" tab: In the configuration window, select the "Environment Variables" tab.
- Add variables: Click the " " button to add a new variable. Enter the variable name in the "Name" field and the variable value in the "Value" field.
- Delete a variable: To delete a variable, select it and click the "-" button.
- Save changes: Click the "Apply" button to save changes.
Example:
To add the Python interpreter path to an environment variable, add the following variable:
- Name: PYTHONPATH
- Value: /Library/Frameworks/Python.framework/Versions/3.7/bin
Other tips :
- Environment variable names are not case-sensitive.
- Variable values can be a multi-value list separated by semicolons.
- The PATH variable is used to set the path where the program searches for executable files.
- The PYTHONPATH variable is used to set the path where the Python interpreter searches for modules.
The above is the detailed content of How to set pycharm environment variables. 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











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

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.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
