I built a Python CLI toolkit because everything felt fragmented Created by Arjun M Most Python CLI tools start simple… and then slowly turn into chaos. You begin with a couple of commands, maybe argparse, maybe click. Then you add prompts. Then state. Then formatted output. Then some sort of flow. And suddenly your “small CLI tool” looks like a badly stitched Frankenstein of ut... link https://lnkd.in/eXHSCBSX pubDate Sat, 11 Apr 2026 03:28:37 +0000
Building a Unified Python CLI Toolkit with Arjun M
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Python 3.15 is getting a new builtin: sentinel. Not a loud feature, but a very practical one. It addresses a common API design problem: how to distinguish between “argument was not provided” and “argument was explicitly set to None”. That distinction matters when None is already a valid domain value. Until now, many libraries and codebases had to define their own sentinel objects for this. Now Python will have a standard way: _SENTINEL = sentinel("_SENTINEL") Small change, but useful for cleaner APIs and fewer ad-hoc patterns in production code.
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Managing Python environments shouldn’t be a nightmare. But for many — it still is. Here’s how to keep things clean, fast, and production-ready in 2026: 🛠️ Use uv or poetry to manage environments & dependencies. Faster, safer, and simpler than old-school pip+venv. ⚡ Speed matters – use polars, numpy, and numba to vectorize heavy loops. Even small tweaks can give 10× performance wins. 🧼 Lint + Format + Type-check = non-negotiable Ruff for linting Black for formatting Pyright or Pyrefly for fast type-checks 💡 Bonus tip: Use Typer to build CLIs in minutes. So clean, it feels like magic. 💬 What’s one Python setup rule you wish you knew earlier? #Python #CodeQuality #Productivity #DevTools #DataEngineering
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I put together a compact example showing how to integrate DuckDuckGo search directly into Python scripts. No heavy dependencies, no friction — just clean, functional code you can plug into your next project. Take a look: https://lnkd.in/gimtFbbp #Python #AI #SoftwareEngineering #IndieDev #GitHub #ProductivityTools #Coding
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Someone asked me this morning: "How did you learn to build APIs?" Truth? I didn't learn from a course. I learned by breaking things and fixing them. I wrote down everything I wish someone had told me — in a step‑by‑step tutorial. What's inside: - Single + batch endpoints (not just one) - Caching (so your API doesn't die) - Deployment on Render (free tier) - A free tier example you can copy Built the same way my live API works. Link in first comment 👇 #FastAPI #Python #BuildInPublic
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I Just built a simple Python mini — Bill Splitter! Ever gone out with friends and struggled to split the bill correctly? I tried solving that with a small Python program. try this 👉 What it does: Takes total bill amount Adds a 10% tip Splits equally among people 📊 Example: Bill = ₹1000 Tip = ₹100 Total = ₹1100 4 people → Each pays ₹275 🧠 What I learned: How to take user input Basic calculations in Python Writing clean and readable output This may look small… but every big system starts like this. Today it's a bill splitter. Tomorrow it can become a full payment app 🚀 #Python #BeginnerProject #CodingJourney #LearnByDoing #AIEngineerJourney
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You inherit a base class with twelve methods. Your subclass needs three. You implement the other nine as raise NotImplementedError and call it a day. That's the smell ISP is trying to prevent. Interface Segregation says clients shouldn't depend on methods they don't use. A fat interface forces every implementer to carry weight that doesn't belong to them, and every caller to reason about behavior that isn't relevant. ⚖️ In my latest article I break down what small interfaces look like in Python: Protocols, ABCs, and the practical line between "split this" and "you're over-engineering." 🧩 https://lnkd.in/eKw68T9S What's the worst case of NotImplementedError you've had to live with? 👀 #Python #SoftwareEngineering #SOLID #DataScience #CleanCode
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