Software Engineer's Blog

Terminator is a powerful tool for developers, allowing you to manage multiple terminal sessions in a single window. Features like splitting panes, tabs, and simultaneous input can significantly boost your productivity. Step 1: Install Terminator First, install Terminator using the apt package manager. sudo apt update sudo apt install terminator -y The -y option automatically answers 'yes' to any prompts during the installation process, streamlining the setup. Step 2: Set as the System Default Ubuntu uses a utility called update-alternatives to manage default applications. We'll use this tool to change the default terminal emulator ( x-terminal-emulator ) to Terminator. Run the Configuration Command Enter the following command in your terminal. A list of available terminals will appear. sudo update-alternatives --config x-terminal-emulator Select Terminator From the resulting list, enter the selection number corresponding to terminator and press Enter. ...

1. Initialize and Connect the Git Repository # Run in the terminal from the project root git init git remote add origin https://github.com/[user]/[repository].git 2. Configure Git in IntelliJ Select VCS → Enable Version Control Integration . Choose Git and click OK . 3. Connect Your GitHub Account Go to File → Settings (on Windows) or IntelliJ IDEA → Preferences (on macOS). Navigate to Version Control → GitHub . Click Add Account ( + ). Select Log In with Token... and enter your GitHub Personal Access Token. 4. Add and Commit Files Go to VCS → Git → Add (or use the shortcut Ctrl+Alt+A ). Select the files you want to commit. Go to VCS → Commit (or use the shortcut Ctrl+K ). Write a commit message and click Commit . 5. Push Go to VCS → Git → Push (or use the shortcut Ctrl+Shift+K ). Click the Push button. Simpler Method (Using IntelliJ's Built-in Feature) Go to VCS → Share Project on GitHub . Set the repository name to vita-user-...

In the modern Python ecosystem, it's impossible to discuss data validation and settings management without mentioning Pydantic . It has become the de-facto standard, empowering countless developers to increase productivity by clearly defining data structures with type hints and enforcing them at runtime. This article will serve as your practical guide to mastering Pydantic v2. We will explore its core use cases with hands-on examples, from API development with FastAPI to settings management. Most importantly, we provide a detailed v1-to-v2 migration checklist to help you upgrade your codebase with confidence. 1. API Development (Web API Development) This is one of Pydantic's most well-known and powerful use cases. It plays a core role, especially when used with the FastAPI framework. Request Validation : It automatically checks if the data sent from a client (like a web browser or mobile app) to the server has the correct format and values. For example, it can val...