Pvm TUI for Python venvs simplifies workflow

“Are you exploring Python’s built-in testing capabilities with the unittest framework?” The unittest module, part of the Python standard library, provides a structured and object-oriented approach to writing automated tests. By creating test cases that inherit from a base class, developers can leverage powerful built-in methods to validate functionality, ensure code reliability, and support maintainable development practices. Incorporating unit testing early in the development cycle helps catch bugs faster, improves code quality, and builds confidence when deploying changes—especially in complex, production-grade systems. If you're working with Python and not yet using unittest, it’s definitely worth exploring. https://lnkd.in/gsiFeQQh #Python #UnitTesting #SoftwareDevelopment #CodeQuality #Automation

🐍 Python Term of the Day: Unicode (Python Glossary) Unicode is a universal character encoding standard that assigns a unique number (code point) to every character in every language, plus symbols, emojis, and control characters. https://lnkd.in/gMsCtXD3

How async/await Works in Python (Simple Explanation) Async programming in Python allows multiple tasks to run without blocking each other. Instead of waiting for one task to finish, Python can switch to another task. Key Concepts: - async → defines a function that runs asynchronously - await → pauses execution until the task is complete How it works: 1. Task starts (e.g., API call) 2. Instead of waiting, Python moves to another task 3. When result is ready → execution continues Example Use Cases: - API requests - Database queries - File handling - Web scraping Why it’s important: - Faster performance for I/O tasks - Better resource utilization - Handles multiple operations efficiently Final Insight: Async is not about doing things faster… It’s about not wasting time while waiting. Follow Saif Modan #Python #Async #Backend #Programming #Tech #LearningInPublic

Announcing Shiny for Python 1.6: Toolbar Components and Production Observability 🔭 We are pleased to announce the release of Shiny for Python 1.6. This update focuses on making applications more compact and their underlying processes more transparent. • New Toolbar Components: Designed to optimize screen real estate, the new toolbar components allow for more compact and professional UIs. • Built-in OpenTelemetry Support: This release introduces native OpenTelemetry integration. You can now emit traces and spans to track app performance and health, providing much-needed observability for production environments. Create more robust, performant, and observable applications today! Learn more about Shiny for Python 1.6 and its new capabilities here: https://lnkd.in/gFeG_QTk

🐍📰 Gemini CLI vs Claude Code: Which to Choose for Python Tasks Gemini CLI vs Claude Code: compare setup, performance, code quality, and cost to find the right Python AI coding tool for your workflow https://lnkd.in/gGAXv_ph

🚀 Learning Python the Practical Way: Understanding Virtual Environments Over the past few days, I started learning Python and decided to focus on building instead of just reading syntax. Today, I explored one of the most important concepts for any developer: Virtual Environments (venv) Here’s what I understood: 🔹 A virtual environment is an isolated Python setup for a specific project 🔹 It prevents version conflicts between different projects 🔹 Each project can have its own dependencies without affecting others 💡 Why it matters: While working on multiple projects, different versions of the same library can break things. Virtual environments solve this by keeping everything separate and controlled. 🛠️ What I practiced: Creating a virtual environment Activating and deactivating it Installing packages inside it Understanding how Python uses project-specific paths This concept is very similar to how we manage dependencies in Node.js projects, but implemented differently in Python. Next step: Building a simple backend server using FastAPI to apply this knowledge in real projects. #Python #BackendDevelopment #FastAPI #WebDevelopment #LearningInPublic

Parameters now support enums for cleaner, more reliable eval configurations. Define dropdown options in Python or TypeScript, and Braintrust automatically generates UI controls with validation.

The Hidden Cost of Inline Code in Claude Code Command Files Inline Python in Claude Code command files bloats token usage and hurts maintainability. Learn how to fix it with a proper CLI layer....