After a long days we are catching up in this video And in this video we are going to learn about the selenium features using with the example of the amazon product site
This video is very helpful when you are step in to automations Watch this video fully to redeem the knowledge of selenium library in python
For source code: https://t.me/s/akpython
#selenium #python #amazon
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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Selenium has gone through a tremendous evolution since its introduction and that’s the reason today it is the most popular and powerful automation testing tool. The newly released Selenium 4 is creating a lot of buzz and the complete testing community is looking forward to exploring its updated features.
Before we dive into Selenium 4, let’s have a brief introduction to its previous versions. Selenium 1 was declared as the free open source automation testing framework in the year 2004 consisting of selenium IDE, RC, and web driver. Whereas, the Selenium 2 released in 2011 consisted of the IDE, Web driver, and Grid. The RC server was merged with the web driver, as the web driver facilitated easy automation scripting for the browsers. Selenium 3 was officially released in 2016. One of the most noticeable changes in selenium 3 was the replacement of the selenium core with the web driver-backed option, the introduction of the gecko driver, and W3C web driver integration.
With the aim of executing much seamless, accurate and faster test automation, Selenium 4 was released on 24th April 2019. So let’s unleash all the major features of selenium 4 which sets it apart from the earlier versions delivering better test automation. There are a lot of exciting features in Selenium 4 across the complete suite i.e. Selenium IDE, Webdriver and Grid. In Selenium 4 though the Webdriver captures the spotlight, we will cover the updated features of selenium IDE and selenium grid. So first of all let’s define the different user groups for the Selenium suite.
Selenium is a suite of tools that caters to the various requirements of the project such as:
Let us explore the features of Selenium 4 across the different Selenium Tools.
#selenium #automation testing #selenium automation #selenium automated testing #selenium test automation #selenium 4
While you are automating your test cases with Selenium automation, here is how to start implementing Selenium getAttribute() method to get the best results.
Testing a web page can be a gargantuan task, considering all the elements and variables that come together to make a page work. Selenium automation is a great way to overcome these challenges and automate everything you would manually do. For example, Selenium makes it so much easier to take a screenshot using Python instead of doing it manually every time you come across a website issue.
Similarly, there are multiple scenarios while writing automation test cases when we need to verify a specific attribute on the web page. To ease our execution, the method to
getAttribute() in Selenium comes to the rescue. In this blog, we will understand what an attribute is and how we can handle web elements’ attributes using the Selenium
Let’s get to it, shall we?
#selenium #webdriver #selenium automation testing #selenium automation #selenium - web browser automation #selenium automated testing #get attribute