Quick Python Testing with Docker

Tkinter Tutorial: Building a GUI for a Simple Unit Converter Converting units can be a hassle, whether you're a student, a traveler, or just someone trying to follow a recipe. Remembering all the conversion factors is tough! In this tutorial, we'll build a simple yet functional unit converter using Tkinter, Python's built-in GUI library. This application will let you easily convert between different units of length, temperature, and weight. By the end, you'll not only have a practical tool but also a solid understanding of Tkinter's fundamental concepts....

I once spent 3 hours debugging a Python script. The logic was right. The data was right. The tests were passing. But the output was wrong. Every. Single. Time. Turns out? A variable I thought was local was leaking from an outer scope. One line. Three hours. A lesson I never forgot. Scope bugs are brutal because Python doesn't yell at you, it just silently uses the wrong value. So I put together a free guide that breaks down exactly how Python scope works: → The LEGB rule, explained simply → The most common scope bugs (and why they're so sneaky) → How to read your own code the way Python reads it → global and nonlocal, when to use them, when to avoid them If you've ever been confused by a variable that "shouldn't" have that value... this guide is for you. Get it free here: https://lnkd.in/dY8az6hc Save this post. Your future self will thank you. #Python #SoftwareDevelopment #Programming #PythonTips #ChiefOfCode

Quick Python refresher today via the Microsoft Python Developer course 🐍 I revisited the classic “Hello, World!”—and it’s funny how something that small still does a lot: • Confirms my environment is set up correctly (install, config, dependencies) • Reinforces Python fundamentals I’ll build on: print(), statements, string literals • Refreshes how Python runs code behind the scenes (tokenizing → parsing → bytecode → execution) The whole thing is one line, but it’s the perfect “systems check” before moving into bigger projects: print("Hello, World!") Always a good reminder: consistency beats intensity. Small reps add up. If you’ve done a “back to basics” refresh recently—what did you start with?

🐍 Python Function Naming Rules — Write Professional Code ⚡ Function names should be clear, readable, and follow Python standards 👇 ✅ Basic Rules ✔️ Must start with a letter or underscore _ ✔️ Cannot start with a number ❌ ✔️ Can contain letters, numbers, underscores ✔️ No spaces allowed ✔️ Case-sensitive (getData ≠ getdata) ✅ Valid Function Names def greet_user(): pass def calculate_total(): pass def _private_function(): pass ❌ Invalid Function Names def 1greet(): # Cannot start with number pass def greet-user(): # Hyphen not allowed pass def greet user(): # Space not allowed pass 💡 Best Practice (PEP 8 Style) ✔️ Use lowercase_with_underscores (snake_case) ✔️ Use verbs — functions perform actions ✔️ Keep names meaningful def get_user_data(): pass def send_email(): pass def calculate_salary(): pass 🔥 Pro Tip: Good function names explain what the function does — no comments needed 👍 🚀 Clean naming = Clean code = Professional programmer 💻 #Python #Coding #Programming #LearnToCode #Developer

Most Python developers learned packaging the same way: Install Python → create a virtual environment → install dependencies with pip. The core of this workflow has always been pip, the package installer that pulls libraries from the Python Package Index (PyPI). pip does its job well, but it was never designed to manage the broader concerns of a Python project. Things like Python version management, environment isolation, dependency locking, and reproducible setups have traditionally been handled by a collection of separate tools layered around it. Over time, this led to a fairly fragmented developer experience. Setting up a project often meant juggling multiple utilities and expecting every developer (or user) to configure them correctly before running even a simple script. Recently I’ve been exploring uv, a newer tool that approaches this problem from a different angle. Instead of focusing purely on package installation, uv acts as a broader project and environment manager. It can automatically handle Python versions, create isolated environments, resolve dependencies, and run scripts—all from a single interface, and significantly faster than the traditional stack. The interesting part isn’t that uv replaces pip entirely, but that it collapses several layers of the traditional Python tooling ecosystem into something much simpler to work with. I wrote a short article breaking down how pip fits into the traditional workflow and where uv changes the model. If you work with Python or manage Python environments across teams, it might be a useful read. https://lnkd.in/g2s3wpEN This post is part of my Tech101 series, where I explore fundamental developer tools and concepts. If you found this useful, follow along for future posts. I'm curious how others are approaching this. Are you sticking with the classic pip + virtualenv setup, or starting to experiment with tools like uv? #python #softwaredevelopment #latest #softwareengineer #bestpractices #tech101

Perhaps you've seen that uvx command in your MCP server configs and wondered what it does. It's shorthand for uv tool run. uv is a single Rust binary that replaces your entire Python toolchain — pyenv, virtualenv, pip-tools, Poetry, all of it. uvx runs any package in its own throwaway environment, which is exactly why MCP configs use it. Since I switched, versioning issues are gone and my Python setup is simpler than it's ever been. Here's the full story: 👉 https://lnkd.in/epFEYRBC

🚀 Python 3.14 — Back to the Interpreter. Back to the Basics. Today I went back to where everything starts: An Informal Introduction to Python. https://lnkd.in/d4NN7cmG # Launch Python 3.14 explicitly (Windows launcher) C:\Users\John> py -3.14 # This is a comment → ignored by Python # Remember. This is a comment. # This is NOT a comment because it's inside quotes text = "# This is not a comment." # Addition 7 + 4 # Subtraction 50 - 37 # Order of operations (multiplication first) (100 - 5 * 7) # True division → float 17 / 3 # Floor division → integer 17 // 3 # Modulo → remainder 17 % 3 # Exponentiation 2 ** 10 # Store resolution values width = 1920 height = 1080 # Calculate total pixels (Full HD) width * height 💥 Fail Fast # Access undefined variable size → NameError 🔁 REPL Superpower: _ # `_` holds the last result in interactive mode width - _ 🎯 My Take Deep systems aren’t built on complexity. They’re built on mastery of fundamentals. Whether you’re building: A Django backend A distributed system An AI-powered application It all starts here — with clean thinking. “If you want to fly high, take a deep dive.” #Python #Django #Backend #SoftwareDevelopment #DeepDive

Tkinter Tutorial: Build a Simple Interactive GUI for a Basic Calculator Ever wished you could build your own calculator? Not just use one, but build one? In this tutorial, we'll dive into Tkinter, a powerful Python library that lets you create graphical user interfaces (GUIs). We'll go step-by-step to build a simple, yet functional, calculator. This isn't just about learning code; it's about empowering you to create tools that solve real-world problems....

I've been writing Python for years and I still can't do pnpm update. JavaScript devs have had this forever. One command, every package bumps to latest, file gets rewritten, done. Clean. Python? You're either going package by package on PyPI, setting up a whole workflow just to solve what should be a one liner, or reaching for tools that don't even rewrite your file, they just tell you what's outdated and leave the work to you. And vulnerability scanning? Completely separate tool. Separate install. Separate command. Good luck remembering. So I built the thing I kept wishing existed. It's called angela. You run angela update in your project and it does three things: - Finds the latest stable version of every package you depend on - Rewrites your pyproject.toml or requirements.txt automatically - Checks every package for known CVEs while it's already there One binary. No setup. No config required. Written in Go, which I find funny — the best fix for a Python annoyance I could find was to just not use Python. https://lnkd.in/ez5w6Tb2 #golang #python #programming #tooling #opensource