In this video we are going to write a Python Script to automate the WhatsApp messages Using Selenium. Used for Automation Testing.
Note-: Forgot to tell in the video that you need to download the chrome driver version matching to your chrome browser version.
What is SELENIUM?
Selenium is a tool to test your web application. Here using Selenium with Python . You can do this in various ways, for instance
► Permit it to tap on buttons
► Enter content in structures
► Skim your site to check whether everything is “OK” and so on.
1.) Download Link for Python
2.) Download Link for ChromeDriver.
All ChromeDriver Versions Download List.
3.) Source Code at Github.
4.) Documentation On Selenium.
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners
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:
#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map
Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.
I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:
So I tried
pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.
I then tried
which is based onyowsupand require you to do some registration with
yowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.
I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.
PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.
So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.
#python #python-programming #python-tutorials #python-programming-lists #selenium #python-dev-tips #python-developers #programming #web-monetization
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
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.
#python development services #python development company #python app development #python development #python in web development #python software development