


How to set up the Python environment with PyCharm? Detailed tutorial
PyCharm is a powerful Python integrated development environment (IDE) that can help developers improve work efficiency and programming quality. When using PyCharm for Python development, setting up the Python environment is a very important step. This article will introduce in detail how to set up the Python environment in PyCharm, including creating projects, configuring the interpreter and other operations, and provide specific code examples to help readers better understand and operate.
Step 1: Install PyCharm
First, we need to make sure that PyCharm is installed. You can download the installation file from the JetBrains official website and select the appropriate version according to the operating system to download and install. After the installation is complete, open PyCharm and start configuring the Python environment.
Step 2: Create a project
In PyCharm, a project corresponds to a working directory, and all code files will be saved in this project. Next we will create a new project:
- Open PyCharm, select "File" -> "New Project" in the startup interface or menu bar;
- In the pop-up window Select "Pure Python" and click "Create";
- Enter the project name and project saving path, and click "Create" to complete the creation of the project.
Step 3: Configure the Python interpreter
PyCharm needs to know which Python interpreter to use to run the code, so we need to configure the Python interpreter:
- In the project, click "File" -> "Settings" in the menu bar;
- Select "Project" -> "Project Interpreter" in the pop-up window;
- Click on the upper right Click the "Gear" icon in the corner and select "Add..." to add a new interpreter;
- Select the appropriate Python interpreter, which can be the interpreter that comes with the system or is installed through Anaconda, etc. ;
- Click "OK" to complete the configuration of the interpreter.
Step 4: Run Python code
After configuring the Python interpreter, we can start writing and running Python code in PyCharm. Next, a simple example will be used to demonstrate:
- Create a new Python file in the project, such as "hello.py";
- Enter the following code:
print("Hello, PyCharm!")
- Click the green triangle button on the left side of the code editing window or use the shortcut key "Shift F10" to run the code;
- "Hello, PyCharm!" will be output in the console, indicating The code runs successfully.
Summary
Through the above steps, we have learned how to set up the Python environment in PyCharm, including creating projects, configuring the interpreter, and running code. PyCharm provides many functions and tools to help Python developers improve programming efficiency. I hope this article will be helpful to you. If you have any questions or doubts, please leave a message to discuss and let us learn and improve together!
The above is the detailed content of How to set up the Python environment with PyCharm? Detailed tutorial. 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

AI Hentai Generator
Generate AI Hentai for free.

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



Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Regular expressions are powerful tools for pattern matching and text manipulation in programming, enhancing efficiency in text processing across various applications.

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

In Python, how to dynamically create an object through a string and call its methods? This is a common programming requirement, especially if it needs to be configured or run...
