The IT sector is a hub of better and highly rewarding career prospects. If you desire to make your mark with the Selenium with Python technology, it is vital to sift through the knowledge you have achieved in your learning years. Determine what is more significant in a global sense, acquaint yourself with the common terminologies and the basics of Selenium with Python, and brush up on the fundamentals the day before your interview.
No matter how talented and skilled you are, when you are sitting in front of a hiring panel of industry specialists, things can get overwhelming when tricky interview questions are thrown at you. So, what can we do to give the best on the most important day of our professional life? Firstly, have faith in your learnings. Another, start with the basics, and browse through the most important Selenium Python interview questions. Why Selenium with Python?
Selenium with Python is a standard combination for automated testing, which lets software developers write scripts to automate browsers and execute acceptance testing, regression testing, and functional testing of web apps.
In this article, we’ll cover the top five Selenium Python interview questions and give answers to help you prepare for your interview. Such questions will cover the fundamentals of Selenium and Python and the objective of implicit wait in Selenium Python.
What is Selenium?
Selenium is an open-source (free) test automation framework used to validate web apps across varied platforms and browsers. You can use several programming languages such as Python, Java, C#, etc. to create Selenium Test Scripts. Testing ended using the Selenium testing tool is typically referred to as Selenium Testing.
Selenium Software Suite
Selenium Tool is not just a sole tool but a suite of software, individual piece catering to diverse Selenium QA testing requirements of a business. Here is the list of tools
• Selenium RC (Remote Control)
• Selenium IDE (Integrated Development Environment)
• Selenium Grid
• Selenium WebDriver
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Selenium is a tool to automate testing across several web browsers. Selenium WebDriver supports a set of browsers, including Safari, Mozilla Firefox, Google Chrome, and IE, and allows you to just automate browser testing across varied browsers.
While Selenium has multiple benefits, the following are some of the significant ones, which detail why most folks choose Selenium over testing tools.
• It gives lesser involvement of hardware.
• It guarantees SDLC (software development life cycle) procedure agility and transparency amongst cross-functional teams.
• It is open-source/ free and platform-independent.
• It offers excellent visibility for testing E2E applications.
• It has a user-friendly interface that makes it easy to build and run test scripts.
• The automated test suites might be reused and tested on a set of operating systems and browsers.
• Its flexibility is improved by features like test case refactoring and regrouping
DevOps tools can support implementation and distinct service providers offer tools that support the automation and collaboration of the DevOps product lifecycle:
• Maven: Automated tool for Java-based projects
• JIRA: Tracking software for bugs/ errors
• Jenkins: Automated tools that assist CI (continuous integration)
• Git: Software tools to track alterations to source code
• Bitbucket: Source code repository for continuous integration / continuous deployment optimization
Given the significance of the DevOps approach to advanced software development, LambdaTest’s real-time device cloud has been developed to align with DevOps-driven workflows. Integrations with popular CI/CD tools –GitLab, Travis CI, Bamboo, Jenkins, Circle CI, TeamCity, and Azure Pipelines make it a breeze for the specialized DevOps teams. With LambdaTest’s automation testing platform, testers can perform Selenium, Cypress, Playwright and Puppeteer tests across 3000+ device combinations.
What is Python?
Python is a general-purpose, high-level, and interpreted programming language often used to build software and websites, automate jobs, and conduct data analysis. Being a general-purpose language, it can be used to create almost any variety of apps with the apt tools. This versatility, along with its ease of use and beginner-friendliness, has made it one of the preferred programming languages today.
What is Python used for?
Python is a versatile programming language that can be utilized for a varied range of apps, including:
• ML (Machine learning) and AI (artificial intelligence): Python has become a pioneering language for AI and machine learning owing to its robust libraries and frameworks like Scikit-learn, TensorFlow, and Keras.
• Web development: Python programming language is used to build web apps and frameworks such as Flask and Django.
• Data science & analysis: Python has numerous tools and libraries for data analysis and visualization, counting Matplotlib, Pandas, and NumPy.
• Automation & scripting: Python is a perfect language to automate recurring tasks, form scripts, and design system admin tools.
• Desktop app development: Python can be used to develop desktop apps using frameworks such as PyGTK, wxPython, and PyQt.
• Game development: This versatile programming language is also used for game development, and there are numerous game engines accessible that are built on Python, such as Panda3D and Pygame.
• Education: Python is used in several universities as well as educational institutions to teach programming concepts owing to its readability and simplicity.
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Overall, Python’s versatility and simplicity of use make it a standard choice for several types of software development projects.
State Some Benefits of Using Python Over Distinct Programming Languages
As you are going to be interviewing for a Python expert programmer position, it is vital to know the benefits Python has over other programming. You must answer something like this:
Python has an extensive diversity of advantages over other programming languages, counting:
The Syntax is both simple to understand and learn, more like a human language.
What is python? How is it used with selenium?
Python is an interpreted high-level programming language that is extensively used for general-purpose programming, data analysis, web development, artificial intelligence, and automation. It is known for its readability, simplicity, and ease of use, making it famous and the most preferred language among software developers.
Selenium is a well-known open-source automated testing tool used to automate web browsers. It provides an API that enables software developers to write automation scripts in multiple programming languages, counting Python.
Selenium with Python is employed to automate functional testing, web testing, regression testing, and other forms of tests on web apps. Python’s simple-to-learn syntax, support for object-centered programming, and vast library support make it a perfect language for automating tests with Se (selenium). Moreover, Python’s readability and simplicity of use make it simple to write and manage complicated test scripts in Se (selenium).
Top 5 Selenium Python Interview Questions and Answers
These questions & answers are suitable for both experienced and fresher professionals at any level. The questions are for intermediate to somewhat advanced Selenium with Python experts, but even if you are just a fresher or beginner you must understand the answers and explanations here we give. Enroll for better Selenium with Python Online Course. To assist you to sail through the interview, here is a curated list of Selenium with Python interview queries & answers:
Here are 5 commonly asked Selenium Python interview questions & their answers:
1. What is Se (selenium), and how is it used in Python?
Answer: Selenium is an open-source/ free automated tool for web browsers that is used to test web apps and automate browser-based jobs. It provides a set of tools and libraries for interacting with web browsers, such as Firefox, Chrome, and Safari, and enables software developers to simulate/ emulate user activities, such as filling out forms, clicking buttons, and navigating between pages.
In Python, Selenium is used over the Selenium WebDriver API, which offers a series of methods to control web browsers programmatically. To use Selenium in Python, you first require to install the Selenium library using a package manager like pip. Once the library is installed, you can import it into your Python scripts and generate instances of web drivers for the web browser of your preferred choice.
For instance, the following code reveals how to use Selenium in Python to open the Google Chrome browser and navigate to a site:
In this example, we firstly import the webdriver module from the Selenium library and generate an instance of the Chrome driver using the webdriver.Chrome() constructor. We now use the get() technique to navigate to a site, find a component on the webpage using the find_element_by_css_selector() method, and interact with it by calling the click() method. Ultimately, we use the quit() method to close the web browser.
Overall, Selenium is a powerful tool to automate browser-based jobs and testing web apps, and it can be effortlessly used in Python using the Selenium WebDriver API.
2. How do you handle alerts in Selenium Python?
Answer: To manage alerts in Selenium Python, you can use the switch_to_alert() method to switch the driver’s attention to the alert box. From there, you can use the text property to get the alert’s text message and use accept() or dismiss() method to either dismiss or accept the alert. For example:
3. What is the purpose of the implicit wait in Selenium Python?
Answer: In Selenium with Python, an implicit wait is a mechanism that enables the web driver to wait for a definite amount of time before throwing a NoSuchElementException if it can’t instantly find an element on the web page. This wait time is applied universally to all find_element_* methods and it can assist to improve the reliability and stability of automated tests.
The purpose of using an implicit wait in Selenium with Python is to make sure that the web driver has sufficient time to find the component it requires to interact with, even if the web page takes some time to load or render. This is predominantly useful when working with web pages that have dynamic content or when executing automated tests on slower networks.
To set an implicit wait in Selenium with Python, you can make use of the implicitly_wait() method of the web driver, like so:
In this example, we generate an instance of the Chrome driver and series an implicit wait of 10 seconds using the implicitly_wait() method. Any subsequent calls to find_element_* methods will wait for up to 10 seconds for the element to be found before throwing an exception.
It’s significant to note that an implicit wait should not be used as a replacement for explicit waits or other synchronization methods, such as using WebDriverWait or time.sleep(). Instead, it must be used as a fallback option when no other synchronization mechanism is accessible.
4. How can you take a screenshot of a web page using Selenium Python?
Answer: Selenium Python, you can take a screenshot of a web page using the get_screenshot_as_file() method. This method saves a screenshot to a specified file path. For example:
5. Why do you prefer to use Python for Selenium?
Answer: Python is an easy-to-learn and versatile programming language that is extensively used in numerous industries, including data science, web development, and automation. It has a huge and active community of software developers, which means that there are numerous resources accessible for troubleshooting and learning.
Python’s syntax is straightforward and clean, which makes it simple to read and understand. This is principally useful for those who are new to programming or have restricted experience.
When it comes to working with Selenium precisely, Python has various benefits. The Selenium API for Python is well-documented and simple to use, which makes it easy to write scripts that interact with web browsers. Moreover, Python has a rich ecosystem of tools and libraries that can be used in conjunction with Selenium to execute tasks such as testing, data scraping, and automation.
Overall, Python is a common and the most preferred choice for working with Selenium as of its strong community support, ease of use, and readability.
Selenium with Python is a popular combination for automation testing, which enables developers to automate web browsers and create scripts for functional testing, acceptance testing, and regression testing of web applications. Together, they provide a powerful and flexible framework for automating tests and interacting with web applications.
Selenium with Python has a number of advantages, counting:
1. Simple to learn and use: Python is a novice-friendly language, and Selenium’s API for Python is perfectly documented and easy to use.
2. Cross-platform support: They are both cross-platform, which means that you can execute your tests on any operating system.
3. Extensibility: Python has a huge and active community of Software developers, and there are several third-party tools and libraries that you can use in conjunction with Selenium to perform tasks such as testing, data scraping, and automation.
4. Parallel testing: Python makes it simple to run tests in parallel, which can save time and enhance efficiency.
5. Integration with popular testing frameworks: Selenium with Python can be simply integrated with popular testing frameworks such as Unittest and PyTest.
Overall, Selenium with Python is a powerful and popular combination for automation testing, and it can be a valuable tool for improving the reliability and efficiency of your web applications.