DhruvKit: Simplify Python Project Setup with Smart Templates

Source Code 👉 https://lnkd.in/gb34T76M . . Just built a Weather App using Python! I challenged myself to create a simple but reliable weather application that can fetch weather data for any city worldwide. Instead of only focusing on functionality, I also focused on handling real-world errors properly, such as: 👉Invalid API keys 👉City not found 👉Server issues 👉Network connection problems 👉Request timeouts The goal was to build something minimal, clean, and resilient. Through this project I practiced: ✔ API integration ✔ Python exception handling ✔ HTTP status code management ✔ Writing cleaner and safer code Projects like this remind me that good software isn’t just about features — it’s about handling failures gracefully. #PythonDeveloper #Programming #BuildInPublic #CodingJourney #SoftwareEngineering

Understanding a codebase is usually much harder than running it. A lot of the real context lives in scattered docstrings, dependency chains, comments, and team memory, which makes unboarding and handoffs slower than they should be. I’ve been build an interactive DocFlow to make that easier for Python teams. The idea is simple: Load a repo, automatically map symbols and dependencies, and explore the structure visually while reading generated docs and source code in the same workspace. What I like about this approach is that it turns codebase understanding into something you can actually inspect instead of reconstructing manually from files, folders, and guesswork. Right now, the project supports: - scanning Python repos - auto-building a flow from symbols and relationships. - exploring code in spread or sectioned views - reading docs, markdown, and source side by side - importing from local folders, demo projects, or public GitHub repos Still early, but it’s been a useful direction for thinking about onboarding, documentation drift, and navigating unfamiliar systems faster. If you’ve run into this problem in your own team, I’d be interested in how you handle codebase understanding. #documentation #python #teamwork

Day 14 — Modules and Packages: Organizing Real Projects As your code grows, one file is never enough. Professional developers don’t just write code. They organize it. Today you learned: • What modules are and how to create them • How to import specific functions or entire modules • The difference between import and from ... import • Why packages help structure larger applications • How reusable code saves time and reduces repetition This is where Python stops being small scripts and starts becoming real software. Modules and packages are essential for: • Scalable applications • Team collaboration • Clean project architecture • Production-ready systems If you understand this concept, you’re thinking beyond tutorials. Mini Challenge: Create a separate Python file with a function, then import and use it in another file. Post your approach in the comments. I’m sharing Python fundamentals — one practical concept per day. Built to help you move from beginner scripts to structured development. Next up: File Handling — reading and writing real data. Managing multi-file projects becomes much smoother in PyCharm by JetBrains, especially with navigation and project structure tools. Follow for the full Python series. Like • Save • Share with someone building their Python skills. #Python #LearnPython #PythonBeginners #Modules #Programming #CodingJourney #Developer #Tech #JetBrains #PyCharm

I put together a lightweight agent orchestration system for Claude Code called the Claude Agents Plugin. It breaks complex development tasks into tracked, parallel sub-agents using hierarchical markdown file trees. The idea is to let you describe a task naturally—like "Build a user auth system with login, signup, and JWT tokens." Claude then automatically scans your codebase, maps out the work, spawns parallel agents, and tracks everything in markdown files. A few architectural details: Context-aware: It reads your existing project before touching anything, clarifies what it will modify versus create, and never overwrites existing code. Dependency management: It builds hierarchical task trees to handle parent-child relationships and detects circular dependencies. Zero dependencies: It’s a single file relying purely on the Python standard library (Python 3.9+). It is MIT licensed. If you are building with Claude Code and want to test out structured agent orchestration, the repository is linked below. https://lnkd.in/gG3fdrmZ #ClaudeCode #Python #OpenSource #AgenticAI #DeveloperTools

Stop doing the same manual and repetitive engineering tasks… …build custom layers on top of your existing software instead. We just published a new tutorial on EngineeringSkills where Hakan Keskin walks through building a professional desktop engineering app using Python and PyQt. The idea is simple but powerful...don't replace your existing engineering software, augment it. In this case study build-along, Hakan adds a custom layer on top of ETABS... ✅ Python orchestrates the workflow ✅ PyQt provides a clean interface ✅ ETABS stays as the analysis engine Exporting tables, reformatting data, assembling reports — all streamlined into one custom tool. The tutorial covers everything from structuring a split-panel UI to integrating an ETABS interface and displaying results in a table. It's an in-depth one, but once you've worked through it, you'll be ready to start building your own custom tools. Link in comments 👇 #StructuralEngineering #CivilEngineering #EngineeringSkills #Python #PyQt #ETABS #EngineeringAutomation

Just shipped Joke Ninja Pro - a Random Joke Generator built with Python + Streamlit + JokeAPI v2! What it does: - Fetch jokes from 7 categories: Programming, Dark, Pun, Spooky, Christmas & more - 6 blacklist filters (nsfw, religious, political, racist, sexist, explicit) - Save favorite jokes & remove them anytime - Two-type joke support: single-liner + setup/punchline format - Built in under 80 lines of clean Python code! Tech stack: - Python 3.12 + Streamlit for the UI - JokeAPI v2 (free, no auth needed) - uv for fast dependency management - Requests library for API calls The video shows the full source code + live demo - category switching, fetching jokes, saving favorites, and the premium unlock easter egg! This is part of my Python project series - building real apps, one at a time. #Python #Streamlit #100DaysOfCode #WebDev #OpenSource #JokeAPI #PythonProjects #BuildInPublic #Programming #TechCommunity

Python dependency management just hit 100mph. 🚀 Still waiting minutes for pip install to finish? It’s time to meet uv. Written in Rust by the Astral team (the creators of Ruff), uv is more than just a package manager—it’s a single binary that replaces: ✅ pip (but 10-100x faster) ✅ pyenv (manages Python versions for you) ✅ poetry/pipenv (handles lockfiles and virtualenvs) ✅ pipx (runs tools in isolated environments via uvx) Why I’m switching: Blazing Speed: It resolves dependencies almost instantly, even for massive projects. Zero-Config: No more juggling five different tools just to start a project. Universal Lockfiles: Reproducible builds that actually work across teams. If you haven’t tried uv yet, your CI/CD pipelines (and your patience) will thank you for making the switch. Have you made the jump to uv yet, or are you sticking with the classics? 👇 #Python #SoftwareEngineering #DeveloperTools #Rust #Astral #uv

Is it time to finally ditch pip? I’ve been using uv as my Python package manager for a week, and the hype is real. While pip is the battle-tested veteran we all know, uv is changing the game for developer experience. Here’s why I’m making the switch: ✅ Blazing Fast: It’s written in Rust. The performance difference in installing dependencies is night and day compared to traditional tools. ✅ Auto-Venv Management: Stop manually activating/deactivating virtual environments. uv handles it all for you behind the scenes. ✅ Better Dependency Hygiene: It uses a pyproject.toml file to cleanly categorize your production vs. development dependencies (like pytest or flake8), making your builds much cleaner. ✅ All-in-One Tooling: From initializing a project with uv init to locking versions and managing Python itself, it’s a seamless workflow. If you are building with FastAPI or any modern Python framework, the developer experience upgrade is worth the 10-minute learning curve. Check out the full breakdown and installation guide here:https://lnkd.in/d4jtBpJe #Python #SoftwareEngineering #FastAPI #Rust #WebDevelopment #ProgrammingTips

🚀 Day 34 of #100DaysOfCode | Scenario-Based Questions in Python OOP Today I practiced solving scenario-based problems using Python Object-Oriented Programming (OOP). These problems help in understanding how OOP concepts are applied in real-world situations. Key Concepts I Practiced: • Designing classes based on real-world scenarios • Implementing Encapsulation to protect class data • Using Inheritance to reuse code between classes • Applying Polymorphism for flexible and reusable methods Practising scenario-based questions improves logical thinking and problem-solving skills, and helps in building scalable and maintainable applications using OOP concepts. GitHub Repository: https://lnkd.in/gTmfXrWP #Python #OOPS #100DaysOfCode #CodingJourney #PythonProjects

🚀 Day X of My Python Full Stack Journey – Mastering OOP! Recently, I explored one of the most powerful concepts in Python — 👉 Classes, Objects, and Constructors Until now, I was writing functions and logic. But today I learned how to design real-world systems. 💡 Here’s what clicked for me: • Class → Blueprint of a real-world entity • Object → Real instance created from that blueprint • Constructor (__init__) → Automatically runs when an object is created To make it practical, I built a small Bank Account system 🏦 Instead of just storing data, the object now: ✔ Holds account details ✔ Deposits money ✔ Withdraws money ✔ Maintains balance This is when coding starts to feel like engineering. OOP is not just syntax — It’s a way of thinking. Next step: Exploring encapsulation and real project integration 🔥 #Python #FullStackDeveloper #100DaysOfCode #OOP #LearningInPublic #EngineeringMindset