Switched to uv as my primary Python package manager.

Enforce Business Rules with Code. Stop sprinkling validation checks all over your code. Let Pydantic do it for you with constrained types: ✅ Auto-validation. 💡 Clear errors. 💥 Cleaner business logic. Learn more in Practical Pydantic: https://lnkd.in/eaASBPzP #Python #Pydantic #CleanCode

🚀 Mini Python Project Alert! Built a login & signup system from scratch in Python: Gmail-only email validation 📧 Strong password checks 💪 File-based storage for practice 📂 Small project, big learning — regex, file handling, and authentication logic all in one. Loving the journey of turning ideas into code! 💻✨ #Python #CodingJourney #LearningByBuilding #DevLife

I recently had the opportunity to present at PyCon Taiwan! My talk focused on deploying Python at scale, emphasizing simplification with Python-native tools like zipapp (PEP 441) and hashing requirements for faster, reproducible builds. Docker-based workflows, though powerful, can pose challenges as teams and systems expand. Addressing issues like heavy layers, slow builds, and image maintenance, the focus was on streamlining deployment processes. For those navigating the complexities of deploying lightweight, production-ready Python applications at scale, this talk offers insights. Watch the presentation video here: https://lnkd.in/gHyswF_y #Python #PyConTaiwan #Deployment #Infrastructure

Project title : Employee Management System Tech used : Python Features : 1. We can easily add, update, and delete. 2. Easy to use. 3. Built Logic. Visit my github for source code : https://lnkd.in/g-ZF8TZi #python #coding #logicbuilding

UV — A Game Changer for Python Developers The new Python package and environment manager, and it’s impressive. Built in Rust, UV replaces pip, venv, and poetry with one ultra-fast, unified tool. Commands like: uv add package_name uv sync are instant — no waiting around. Why it stands out: Blazing fast installs Deterministic environments Full pyproject.toml support It’s clean, efficient, and built for modern Python workflows. Definitely worth checking out. https://lnkd.in/djjNkxk7 #python #uv

[TECHNOLOGY POST] 🦀 Rust Meets Python: Why We’re Using uv At MIYA, we maintain several Python projects — from internal tools to production services. Over time, we’ve run into the usual challenges: - Slow dependency installs - Environment inconsistencies - CI pipelines that take too long - So we adopted uv, a Rust-powered Python package manager — and it’s been a game changer. Here’s what we like: ⚡ Blazing fast installs and dependency resolution 🧱 Deterministic builds with lockfiles 🧰 Built-in virtualenv management 🧩 Drop-in replacement for pip and venv It’s clean, modern, and fits perfectly into a Rust-meets-Python workflow. Rust brings the performance and safety; Python keeps the flexibility and ecosystem. We love tools that make development faster and more reliable — and uv does exactly that. 👉 Check it out: https://lnkd.in/d2HF9tcg #Python #RustLang #uv #DevTools #DeveloperExperience #Engineering

Creating a Python Virtual Environment: A Guide Tired of Python package conflicts destroying your code? Learn how a 2-minute virtual environment setup will save your sanity forever. https://lnkd.in/gRZnexf6

🐍📺 Building UIs in the Terminal With Python Textual [Video] Learn to build rich, interactive terminal UIs in Python with Textual: a powerful library for modern, event-driven TUIs https://lnkd.in/dxVzJPhp

Day 13/100 of Python 🐍 Today was all about debugging — reproducing bugs, tracing code step-by-step, using print() logs, spotting red underlines, and even trying the debugger tool. Fixed errors in multiple programs including Odd/Even, Leap Year, and FizzBuzz while learning how to think like a real developer. Debugging isn't annoying anymore — it's starting to feel like detective mode. #100DaysOfCode #Python #Debugging #CodingJourney

💡 Introduction to Python Pseudocode! Before diving into Python code, drafting pseudocode can make all the difference. It’s a syntax-free, algorithmic representation that simplifies collaboration between developers and domain experts, streamlines debugging, and enhances project documentation. Discover how pseudocode helps transform business logic into efficient, maintainable Python applications. 🔗 Read more: https://lnkd.in/d5__bCcx #PythonDevelopment #SoftwareEngineering #CodingBestPractices #Pseudocode