Pytest is one of the most widely used testing frameworks in Python—but many teams only scratch the surface of what it can do. The real productivity boost comes from its plugin ecosystem. Here are 7 Pytest plugins that can significantly improve your testing workflow: • pytest-xdist – Run tests in parallel across multiple CPUs to dramatically reduce execution time • pytest-randomly – Randomizes test order to uncover hidden inter-test dependencies • pytest-cov – Measure test coverage and generate detailed coverage reports • pytest-instafail – See failures instantly instead of waiting for the entire test suite to finish • pytest-tldr – Cuts through noisy output by showing only tracebacks for failing tests • pytest-mpl – Validate Matplotlib visual outputs using image comparison • pytest-timeout – Automatically fails tests that hang or exceed a defined time limit Used together, these tools help teams ship faster, more reliable, and more maintainable Python systems. 👉 Which Pytest plugin do you rely on the most? #Python #Pytest #SoftwareTesting #TestAutomation #PythonDevelopment #EngineeringBestPractices #Machinelearning1 #QualityEngineering
Boost Pytest with 7 Essential Plugins for Faster Testing
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🐍 Python (3.8+) Walrus Operator (:=) Filtering + using a value is something we all do very often. One search. One condition. One clear intent. 🧠 Mental shortcut 👉 Get the value → check it → use it. Perfect for: • Regex • Lookups • Optional returns • Guard clauses This is not a trick. This is readability with discipline. #Python #CleanCode #Developer #Programming #SoftwareEngineering
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ired of writing long, bulky code for simple tasks? In this video, we break down 7 Essential Python One-Liners that will instantly make your code cleaner and save you hours of manual work. These are the professional shortcuts used by top developers to...
7 Genius Python Tricks Every Developer Should Know
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Recently tried uv and... wow. Per-project Python versions (e.g., 3.11) without touching the system Python. Virtual environments created in seconds. No activation step required to run scripts. It replaces a big chunk of the usual setup friction (pyenv + venv + pip) with a single, fast tool. If you work with Python regularly, this is absolutely worth a look. #python #backend #devtools #engineering #programming
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🐍 Python Nuance: Lists vs Tuples 🐍 Though lists and tuples look similar in Python, they serve different purposes: Lists are mutable — perfect when you need to update or change data. Tuples are immutable — ideal for protecting data from accidental changes. 🛠 Pro tip: If your data won’t change, use a tuple. If it needs to be updated, use a list. Small decisions like this help make your code clearer, safer, and easier to maintain. Happy coding! 🚀 #Python #CleanCode #DeveloperTips #Programming #SoftwareEngineering #Coding #Development #Debugging #Web
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Hi everyone 👋 I built a Python tool to keep code clean by controlling state. In many Python projects, code slowly becomes messy because: variables are declared inside complex logic state is modified from unexpected places debugging becomes painful as projects grow To solve this, I built strictstore v1 — a small Python utility that enforces strict ownership of variables. 🧠 What it does Variables are declared once Each variable belongs to a specific class Only the class instance that declared it can update it Prevents accidental global state mutation This helps developers write clean, predictable, and maintainable code. 📦 Install :- pip install strictstore Built for the Python developer community. I’m open to feedback, ideas, and real-world use cases 🚀 #Python #CleanCode #OpenSource #SoftwareEngineering #PythonDeveloper #Programmer
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TIL: Python scripts can declare their own dependencies. PEP 723 lets you embed dependency metadata directly in the file. Then, 𝐮𝐯 𝐫𝐮𝐧 𝐚𝐩𝐩.𝐩𝐲 handles the rest - installs the right Python version, creates an isolated env, pulls & syncs dependencies. One file. No requirements.txt. No pyproject.tomls. Great for gists and Claude skills where you want something portable. Read more: https://lnkd.in/gNBSDuBt
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I Built a Free Python GUI Designer 📌 A student developer has launched PyDesigner, a free, browser-based Python GUI tool that lets users create interfaces with a drag-and-drop interface. It supports multiple frameworks, exports in JSON, and embeds images via Base64 for seamless portability. Ideal for beginners and pros, it streamlines GUI development with clean code and real-time previews. 🔗 Read more: https://lnkd.in/dgqdzeNC #Pydesigner #Python #Guiframework #Tkinter #Pyqt5
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Your Python script isn't "finished" until it's an executable. Let’s be real: your non-technical stakeholders aren't going to install Python, set up a virtual environment, and run pip install -r requirements.txt just to see your work. If you want your automation to actually get used, make it a .exe. How to do it in 10 seconds: pip install pyinstaller pyinstaller --onefile your_script.py Check your /dist folder, and you’re done. One file, one click, total impact. Pro Tip: If your terminal says "command not found," use python -m pyinstaller instead. It ensures you're using the right Python environment every time! #PythonProgramming #Efficiency #ProgrammingLife
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👋 Hi everyone! I built a simple yet structured Python quiz application using Google Colab, focusing on clean OOP design and real-world logic. Sharing the key concepts below 👇 Keywords: Google Colab Python Object-Oriented Programming (OOP) Terminal / CLI Application JSON File Handling Class-Based Design MCQ Quiz System Category-Based Selection Score Calculation Performance Feedback Cloud-Based Execution
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In June 2025, a vulnerability (CVE-2025-48432) was discovered in Django that allowed remote adversaries to tamper with log output. This leads to forged logs, which allows an adversary to introduce fake log entries that compromise log integrity and make forensic audits difficult. 👉 Read more: https://lnkd.in/grYtNHdY 👉 Check out our blog: https://secdim.com/blog/ #appsec #securecoding #python #programming
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