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
Selenium Automation Challenges: Handling Viewports and Reliability
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🚀 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
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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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#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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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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Implicit waits are quietly breaking your Selenium tests. Here's why. When you set an implicit wait, you're telling Selenium to wait globally for every element — even when you don't need it. This slows down your suite and hides real timing issues. Explicit waits are different. You define exactly what to wait for, and only when you need it This waits up to 10 seconds — but only for that specific element, only at that moment. The result? Faster tests. Fewer false failures. Easier debugging. I've seen teams significantly reduce flaky test rates just by making this switch. ⚡ Are you still using implicit waits in your project? #SoftwareTesting #Selenium #TestAutomation #QualityEngineering #Python
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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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How to Build Scalable Data-Driven API Tests with Pytest Want to make your API tests more scalable and efficient? In this tutorial, I walk through how to build data-driven API tests using Python Requests and Pytest. You’ll learn how to run the same test logic with multiple datasets stored in JSON, CSV, and Excel, making your test suite more reusable and maintainable. The tutorial also covers how to use @pytest.mark.parametrize to execute tests with different inputs without writing repetitive loops. Using a practical Books API example, I demonstrate how to automate order creation and deletion while handling dynamic values like order IDs. On top of that, I explain serialization and deserialization, and why converting Python dictionaries into JSON is essential for API communication. A great learning resource for QA engineers, SDETs, and automation testers looking to strengthen their API automation skills. #APITesting #DataDrivenTesting #Python #Pytest #AutomationTesting #QAEngineering #SoftwareTesting #TestAutomation #APIAutomation #SDET #PythonTesting #RequestsLibrary #QualityEngineering #TechTutorial #ProjectManagement
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Want to extract data from websites automatically? Here’s how Python makes web scraping super easy 1️⃣ Send request 2️⃣ Get website data (HTML) 3️⃣ Parse using BeautifulSoup 4️⃣ Extract useful info 5️⃣ Save it (CSV / Excel) Bonus: Use Selenium for automation! Python = Smart work + Time saving Want to learn this in-demand skill? Contact Seekho Digital India Academy today at 9805581734 and start your journey! Follow for more tech content. #Python #WebScraping #CodingLife #LearnPython #Automation #TechTips #ProgrammingLife #DeveloperLife #DataExtraction #CodingJourney #DigitalSkills #SeekhoDigital #TechLearning
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🚀 Building a Python mailbot with a free Zoho Mail plan? Here’s what you need to know about IMAP/SMTP support, sending limits, and tips for reliable automation. 💡 Start your automation journey today! 🔗 [Link to the solution] #ZohoMail #PythonAutomation #ZohoTips 💬 Has anyone used Zoho Mail's free plan for automated replies? What challenges did you face?
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