🚀 Mastering Prompting in Selenium & Python for Automation Testing In automation testing, the quality of your results depends on how well you guide your tools—especially when working with AI-assisted scripts in Selenium and Python. Here are two simple but powerful principles I follow: 🔹 Principle 1: Write clear and specific instructions Ambiguity leads to flaky tests. The more precise your steps, locators, and validations, the more stable your automation becomes. 🔹 Principle 2: Give the model time to think Complex scenarios (like dynamic elements, waits, or API validations) need structured reasoning. Break problems into steps for better accuracy. 💡 Whether you're building frameworks in Selenium or writing Python automation scripts, clarity + structured thinking = reliable results. 👉 Small improvements in prompting can significantly reduce debugging time and increase test stability. #Selenium #Python #AutomationTesting #SoftwareTesting #QA #PromptEngineering #TestAutomation #AIinTesting
Selenium Python Automation Testing with Clear Instructions and Structured Thinking
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⚔️ PyTest vs Unittest — Which One Should You Use? If you’re working in Python Automation, this is one of the most common questions 👇 👉 Should I use PyTest or Unittest? Here’s a simple comparison based on my experience 👇 🔹 PyTest ✅ Easy to write & less code ✅ Powerful fixtures (setup/teardown) ✅ Supports parameterization ✅ Rich plugins & reporting 🔹 Unittest ✅ Built-in Python framework ✅ Structured (class-based approach) ✅ Good for basic testing ❌ More boilerplate code 💡 My Take: 👉 For modern automation frameworks (Selenium + Python), PyTest is more flexible and scalable But Unittest is still useful for: ✔ Small projects ✔ Beginners learning testing basics 📌 Final Thought: 👉 Choose tool based on project needs, not trends ❓ Which one do you prefer — PyTest or Unittest? #QA #AutomationTesting #Python #PyTest #Unittest #Selenium #SoftwareTesting #TestAutomation
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It Worked Yesterday… What Changed? Hello everyone 👋 Most beginners assume that if a script works once, it’ll work everywhere. That’s wrong. One of the first real issues I faced while learning Selenium was dealing with different screen sizes (viewports). A script that works perfectly on your screen can fail on another machine just because: - The element is not visible - The layout shifts - The button moves or gets hidden - That’s when I understood automation is not just about finding elements, it’s about handling real-world scenarios. While exploring Selenium with Python, I started learning how to: - Adjust browser window size - Maximize or set custom viewports - Ensure elements are visible before interacting Something as simple as viewport handling can decide whether your script is reliable or flaky. Still early in the journey, but now I’m starting to see the gap between “it works” and “it works everywhere.” If you’ve faced similar issues or have tips on making scripts more stable, I’d love to hear them. #Selenium #Python #AutomationTesting #SoftwareTesting #LearningJourney
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🚀 Day 8 of My Learning Journey Introduction to API Automation Using Python 🤖What is API Automation? API Automation involves using scripts and tools to test APIs automatically without manual intervention. ✅ Saves time and effort ✅ Improves accuracy and efficiency ✅ Enables continuous testing in CI/CD pipelines 🐍 Why Python? Python is one of the most preferred languages for automation. ✔️ Easy to learn and read ✔️ Powerful libraries for API testing ✔️ Ideal for beginners and professionals ✔️ Widely used in QA and DevOps ✔️ Strong community support 💻 Basic API Automation Example import requests url="{baseURL}/users" response = requests.get(url) print("Status Code:", response.status_code) assert response.status_code == 200 print("Test Passed!") 🎯 This script validates whether the API returns a successful response. #Day8Learning #APIAutomation #Python #SoftwareTesting #QualityAssurance #AutomationTesting #APITesting #PyTest #LearningJourney #TechSkills #QA
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Design Patterns in Test Automation — #01: Page Object Model One of the most common patterns in UI automation — and one of the first things you'll see in any serious test framework. Swipe through for a quick breakdown. #QA #TestAutomation #Python #Selenium #SoftwareTesting
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#100DaysOfCode Day 48 Today I learned about Selenium WebDriver and how to automate browser actions using Python 🤖🌐 📚 What I learned: ▪️ How to control a browser using Selenium ▪️ How to find and select elements on a webpage ▪️ How to automate interactions like clicks, inputs, and navigation 🛠️ Project: Automated Game Bot (Cookie Clicker) 🍪 For the final project, I built a bot to play the Cookie Clicker game (https://lnkd.in/eWdauAdN). The bot: ▪️ Clicks the cookie as fast as possible ▪️ Every 5 seconds, checks available upgrades ▪️ Buys the most expensive upgrade it can afford ▪️ Compares current cookies with upgrade prices to make decisions ▪️ Runs for 5 minutes, then stops and prints the cookies per second #Python #Selenium #Automation #WebAutomation #BotDevelopment #100DaysOfCode #Day48 #CodingJourney
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Can Python and Selenium make automation easier for beginners?🐍👨🏼💻 Beginning My Automation Engineering Journey with Python and Selenium by Pasindu Pabasara “The biggest lesson I learned was that automation is not just about writing scripts. It is about understanding systems, workflows, and designing efficient solutions.” Pasindu shares in this blog how his first automation project helped him understand the logic, tools, and best practices behind real-world automation. Read more on LinkIT: https://lnkd.in/gVF-Y7Un Building a Strong Community of Tech Storytellers! 💻✨ #Python #Selenium #Automation #INTECS #FIT #UOM
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Beyond the Boilerplate: Why Pytest Fixtures are the secret weapon of Python automation. If your test setup logic feels like a teetering Jenga tower of inherited classes and repetitive setUp methods, you’re likely spending more time managing code than actually testing. In the world of Python, moving toward Pytest Fixtures is like switching from manual configuration to a streamlined, automated workflow. The beauty of fixtures lies in their ability to handle complex dependencies while keeping your test files remarkably clean and focused. Why moving away from standard class-based setups changes everything: Explicit Dependency Injection: No more wondering where a database connection or a browser instance magically came from. In Pytest, you pass fixtures as arguments directly to your test function. It’s clear, readable, and tells you exactly what a test requires before you even look at the logic. The Magic of Scopes: Not every resource needs to be recreated for every single test. Pytest allows you to define the "lifetime" of a fixture—whether it’s for a single function, a class, or the entire session. Why log in to your application 50 times when you can do it once, share the state, and significantly speed up your entire pipeline? The "Yield" Revolution: Forget about writing separate, detached cleanup methods. By using the yield keyword, you can combine setup and teardown into a single, intuitive function. Everything before yield happens before the test; everything after handles the cleanup—even if the test fails. Modular Power with conftest.py: You can organize your fixtures in a central conftest.py file, making them globally available across your project without a single import statement. It’s the cleanest way to share configurations across hundreds of test files. Quality in automation is about building a framework that doesn't become a maintenance burden six months down the road. Leveraging fixtures allows you to treat your test infrastructure as a set of modular, reusable components rather than a massive block of copy-pasted boilerplate. Are you still using classic class-based setups, or have you embraced the power of fixtures? Let’s talk about your most complex setup—how many fixtures do you usually "chain" together for a single E2E test? #Python #Pytest #TestAutomation #SDET #SoftwareEngineering #CleanCode #TestGeeks
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Is Python the "final boss" of test automation? It’s no accident that Python has become the go-to for QA. It’s not just about simple syntax; it’s about getting things done faster. Why it works: pytest is a powerhouse: Clean, modular, and has a plugin for almost everything. Readability: Tests are easier to write, easier to review, and—most importantly—easier to fix. Versatility: From hitting APIs to parsing logs or running AI-driven analysis, Python handles it all with less code. Speed: You spend less time fighting with boilerplate and more time actually testing. #TestAutomation #Python #SDET #QA #Coding
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🚀 I just built an API Test Automation project using Python! In this project, I implemented automated tests for a REST API using Python, Requests and Pytest. 🔹 Covered CRUD operations: GET (list & single user) POST (create user) PUT & PATCH (update user) DELETE (remove user) 🔹 Also included negative test scenarios This project helped me better understand how APIs work and how to validate responses without relying on UI. 🔗 GitHub project: https://lnkd.in/dFpYwxws #QA #AutomationTesting #Python #APITesting #Selenium #SoftwareTesting
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Happy to share that my first Automation Engineering blog was published on LinkIT under INTECS - UoM. This article reflects my journey with Python and Selenium and what I learned from my first automation project.💻 Read here: https://lnkd.in/dyrmbtuD #Python #Selenium #Automation #INTECS #LinkIT
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