Starting with pyproject.toml for project structure

𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐁𝐞𝐟𝐨𝐫𝐞 𝐁𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐚𝐧 𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐞 1.6% of transforming into a developer. Yesterday I explored how classes can be connected using Inheritance. Today, I focused on understanding another important concept — Polymorphism. What I practiced today: • Runtime Polymorphism → Method Overriding (Employee → Developer / Manager) • Method Overloading → Handling multiple inputs in Python • Applying polymorphism in simple real-world scenarios I practiced using .ipynb notebooks, writing code step by step, testing outputs, and refining my understanding. I also pushed my practice code to GitHub, continuing my habit of tracking progress. What changed in my thinking today: Before → Writing separate methods for different behaviors Now → Writing one method that works differently based on the object That helped me understand: Polymorphism is about writing flexible code. The goal remains the same: Learn daily. Improve daily. Level up daily. 1.6% today. Still building. 🚀 #Python #OOPS #Polymorphism #LearningJourney #DeveloperJourney #StudentDeveloper #Programming #BuildInPublic #Consistency #SoftwareEngineering

🚀 Day 28/30 – 30 Days of Python Project Challenge Consistency builds skill. Skill builds confidence. 🚀 As part of my 30-day challenge, I’m focused on solving real-world problems while strengthening core development concepts. 🧠 Today’s Project: Video to Audio (MP3) Converter I built a Python-based media utility that allows users to quickly extract audio tracks from video files through a simple graphical interface. ✨ Why this project matters: This project bridges the gap between file management and media processing. It demonstrates how Python can automate tedious tasks—like converting formats—with just a few lines of code and a user-friendly file picker. ⚙️ Key Features: Native File Explorer: Uses Tkinter's filedialog to browse and select videos easily 📂 High-Quality Extraction: Preserves audio fidelity during the MP4 to MP3 transition 🎵 Resource Efficient: Automatically closes file streams to save memory 🔋 Instant Feedback: Console confirmation once the conversion is complete ✅ 💡 Concepts Applied: Media Processing with MoviePy OS Interactivity through Tkinter's GUI components Stream Management (opening/closing file handles) Error Handling for file selection and module dependencies Environment Configuration for Linux-based development 🔗 GitHub: https://lnkd.in/djsKiuE7 📌 Takeaway: Automation is at its best when it removes friction. Turning a multi-step manual conversion into a single-click script is what makes coding so rewarding. On to Day 29. 🔥 #Python #BuildInPublic #DeveloperJourney #30DaysOfCode #MoviePy #Tkinter #Automation #SoftwareDevelopment #Coding #Learning #OpenSource #Projects

Are endless Python configurations slowing down your team and making project maintenance a nightmare? The days of complex, disjointed toolchains are officially over. It's time to elevate your workflow and achieve unparalleled efficiency! 😩 Introducing the Python project setup for 2026: a game-changing stack featuring `uv`, `Ruff`, `Ty`, and `Polars`. This isn't just an upgrade; it's a complete overhaul designed to deliver unparalleled speed, pristine code quality, and effortless maintainability, all unified under one roof. ✨ Imagine replacing multiple, disparate tools like pip, Black, and mypy with a single, integrated ecosystem that just *works*. This Astral-backed synergy simplifies everything from dependency management and lightning-fast linting to robust type checking and blazingly quick data processing for massive datasets. Revolutionize your development cycle and onboard new talent faster than ever before, ensuring your projects are cleaner and future-proof. 🚀 **Comment "PythonStack" to get the full article** Learn more about this streamlined Python project setup https://lnkd.in/gQQmtBnF 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘀𝗲𝗲 𝘄𝗵𝗲𝗿𝗲 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘀𝘁𝗮𝗻𝗱𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗮𝗽𝗶𝗱𝗹𝘆 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝘄𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗜? 𝗧𝗮𝗸𝗲 𝗼𝘂𝗿 𝗾𝘂𝗶𝗰𝗸 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝘂𝗻𝗹𝗼𝗰𝗸 𝘆𝗼𝘂𝗿 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹! https://lnkd.in/g_dbMPqx #Python #DevOps #CleanCode #Programming #TechStack #SaizenAcuity

Been spending some time revisiting fundamentals lately — and honestly, nothing beats clean, simple code. In a world full of frameworks and shortcuts, it’s easy to forget that strong basics still do most of the heavy lifting. A few small snippets I’ve been reflecting on: Python # Clean and readable always wins def find_max(numbers): return max(numbers) if numbers else None JavaScript // Simplicity > over-engineering const uniqueItems = arr => [...new Set(arr)]; SQL -- Good queries save hours later SELECT customer_id, COUNT(*) AS total_orders FROM orders GROUP BY customer_id ORDER BY total_orders DESC; Nothing fancy here — but that’s the point. The real difference often comes from writing code that: someone else can understand quickly you can debug without frustration actually scales without breaking everything Tech keeps evolving, but clarity, structure, and logic never go out of style. Curious — what’s one coding principle you always stick to, no matter the language or stack? #Coding #Technology #SoftwareDevelopment #CleanCode #Programming #Developers

🧹 Why Writing Clean Code Matters Code that works is not enough. Code should also be readable, understandable, and maintainable. This is where clean code becomes important. Clean code means: 🔹 Proper variable names 🔹 Simple and clear logic 🔹 Organized structure 🔹 Avoiding unnecessary complexity For example: Messy code may work today. But after some time, even the same developer may struggle to understand it. Clean code helps in: • Easy debugging • Better collaboration • Faster improvements In real-world systems, code is not written once. It is updated, modified, and reused. That is why writing clean code is not a choice — It is a responsibility. #Programming #CleanCode #SoftwareEngineering #Python #BestPractices

What is different between a functionand a methood in programming? It is a classic question that trips up almost everyone starting out. The distinction is actually quite simple once you look at where the code lives and how it is called. In short: All methods are functions, but not all functions are methods. What is a Function? A function is a self-contained block of code that performs a specific task. You can think of it as a standalone "recipe." It is defined outside of any class and can be called directly by its name. Global Scope: It exists independently. Data: It only knows about the data you explicitly pass into it (arguments). Common in: C, Python (standalone), JavaScript (standalone). What is a Method? A method is a function that is associated with an object (or a class). It represents a behavior or action that an object can perform. Scoped to a Class: It is defined inside a class. Implicit Data: It has access to all the data (properties) stored inside the object it belongs to. Calling Syntax: It is usually called using "dot notation" (e.g., object.method()). Common in: Java, C#, Python (inside classes). #GameDev #IndieDev #GameDevelopment #SoftwareEngineering #Programming #ExpectationVsReality #CodingLife #TechHumor #DeveloperLife #Debugging #GameDesign #ProjectManagement #ScopeCreep #StartupLife #Creativity #CareerReality #WorkLifeBalance #BehindTheScenes #GameIndustry

𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮𝟲 Coding tools change. Basics stay the same. You need a plan for 2026. Build a Task Manager API to learn. Use Python, FastAPI, and Docker. Prepare your system. - Install Python 3.12. - Install Docker. - Use VS Code. Build your API. FastAPI is fast. It creates documentation for you. It handles many tasks at once. Ship your app. Use Docker. Docker makes your app run on any machine. It keeps your environment clean. Test your code. Testing is a requirement. Use Pytest. Tests find bugs early. Source: https://lnkd.in/gQ_bZ4s5

The testing section has been extensively revised: • Test examples for cusy.tasks • Added Hypothesis extensions • Agile software development using test-driven development and behaviour-driven development https://lnkd.in/dc9M_J-Y #Python #pytest #Agile #TDD #BDD

Check out my latest blog published blog on Medium about coding practices that made my project cleaner, more structured, and easier to manage. As a student working on my second-semester project, I started applying concepts like modular programming, virtual environments, logging, and secure configuration handling. Initially, they felt like extra effort. But over time, I realized how much they improve code quality and maintainability. In this blog, I’ve shared practical insights on: • Using virtual environments to avoid dependency conflicts • Managing dependencies with requirements.txt • Structuring projects using modular execution • Replacing print statements with proper logging • Keeping configs clean with .ini files • Securing sensitive data using AES encryption These small practices, when combined, make your codebase more professional and scalable. If you're building projects (especially as a beginner), adopting these early can save a lot of time and effort later. Would love to hear your thoughts and feedback! #Python #SoftwareDevelopment #CodingPractices #LearningInPublic #StudentsInTech #Programming #CleanCode https://lnkd.in/gW-QtcgV