Selenium using python Part:16 | Detail Selenium WebDriver(cont)| automation | testing using selenium

Опубликовано: 06 Октябрь 2024
на канале: FUN WITH DATA SCIENCE
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Hello Everyone,
This selenium tutorial is designed for beginners to learn how to use the python selenium module to perform different functions and learn about the selenium suite of tools. Selenium is an automation framework that allows you to interact with websites using something called a web driver.

In this video you will get to learn about the selenium using python.
So in the respective video you will get to know about detail architecture of Selenium WebDriver.

Selenium RC is an important component in the Selenium test suite. It is a testing framework that enables a QA or a developer to write test cases in any programming language in order to automate UI tests for web applications against any HTTP website.

Selenium RC comprises of two parts:

1. Client libraries for the preferred computer language
2. A server that launches and kills browsers automatically

Link for my second channel UPSC with Shambhavi :    / @upscwithshambhavi  
#python #seleniumwithpython #seleniumautomation #pythonforautomation #learnpython #webscrapingusingselenium #seleniumIDE #seleniumRC #seleniumWebdriver

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain

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