How to open the console in sublime
Open the console in Sublime Text: Windows and Linux: Menu bar "View" > "Show Console" or Ctrl ~. macOS: Menu bar View > Toggle Console or Cmd ~.
How to open the console in Sublime Text
Sublime Text has a built-in console for debugging and Other advanced operations. Here's how to open it:
Windows and Linux
- Through the menu bar: Go to "View" > "Show Console".
- Shortcut keys:
Ctrl
~
(ie:Ctrl
wavy line
).
macOS
- Via the menu bar: Go to "View" > "Toggle Console".
- Shortcut keys:
Cmd
~
(ie:Cmd
wavy line
).
Console functions
The console provides the following functions:
- Python interpreter: used to execute Python code.
- JavaScript interpreter: used to execute JavaScript code.
- Output debugging information and error messages.
- Run external commands.
- Install and use the package.
Additional Information
- The console interface in Sublime Text 3 and 4 is slightly different, but the functionality is basically the same.
- Fonts, themes, and other preferences can be customized in the console settings.
- The console can be opened programmatically in a plugin or user script using the
console.show()
command.
The above is the detailed content of How to open the console in sublime. 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



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

macvlan in Docker is a Linux kernel module that allows containers to have their own MAC address, enabling network isolation, performance improvement and direct interaction with the physical network. Using macvlan requires: 1. Install the kernel module; 2. Create a macvlan network; 3. Assign IP address segments; 4. Specify the macvlan network when container creation; 5. Verify the connection.

Docker uses container engines, mirror formats, storage drivers, network models, container orchestration tools, operating system virtualization, and container registry to support its containerization capabilities, providing lightweight, portable and automated application deployment and management.

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

The most common "cannot run Python" problem stems from the misconfiguration of the Python interpreter path. Solutions include: confirming Python installation, configuring VS Code, and using a virtual environment. In addition, there are efficient debugging techniques and best practices such as breakpoint debugging, variable monitoring, log output, and code formatting, such as isolating dependencies using virtual environments, tracking code execution using breakpoints, and tracking variable changes in real time using monitoring expressions, etc., which can greatly improve development efficiency.
