Automate with Python
1: Automate with Python
Learn to Create Automation Scripts with Python
This course is designed for those who want to learn how to automate tasks and processes with Python. You will learn how to write scripts that automate daily tasks. This course will cover topics such as Desktop Automation, Databases, Working with APIs.
By the end of this course, you will have the skills to create automated solutions and develop programs that can be used in a variety of applications.
You will learn how to create scripts to automate mundane tasks, and use the powerful libraries available in Python to get the most out of your code.
This course is perfect for anyone looking to learn how to use Python to automate their daily tasks and make their workload easier.
This course requires basic Python knowledge. Python is a powerful and popular programming language that is easy to learn and use. It is an interpreted language, meaning that it is read and executed line by line, making it easy to debug and modify. Python is also versatile and can be used for web development, data analysis, artificial intelligence, game development, and more. It has a large library of tools and modules that allow developers to quickly and easily build complex applications. Python is also open source and free, meaning that anyone can use it without having to pay for a license.
Automate with Python | Udemy
What you'll learn
Automate your Desktop
Use APIs
Access a Database
Scrape Data from the Web
Read/Write Files
Run System Commands
Requirements
Basic Python knowledge
Who this course is for:
Beginner Python developers
- Interacting with APIs.
- Web scraping.
- Reformatting.
- Reading and writing files.
- Consolidating tasks.
- Organizing data.
Use crontab and the task scheduler to automate your scripts and save time. Running a Python script could be as easy as opening your IDE or text editor and clicking the run button; however, if the script has to be executed daily or weekly, you don't want to waste time repeating these steps over and over again.
Automate with Python | Udemy
Is the Google IT Automation With Python Certificate Worth it? The Google IT Automation with Python is a good certificate to pursue and start a career as a computer programmer. Python is a very powerful language that can be used on a variety of platforms and offer solutions to different problems.
It is easy to get started with automation testing using Python, as there is a low entry barrier as far as the programming language is concerned. It is suited for small-scale and complex projects, making Python the best scripting language for test automation.
Python allows you to automate an excel sheet and is the best option for your project. This article uses excel data and Python libraries to automate an excel sheet in python.
Python is an ideal option for automation because it is a server-side, scripting language. This makes it an ideal language for selenium automation testing. The popular language has a wide range of libraries and frameworks. Consider using automation tools like Pywinauto, Behave, Robot frameworks, and Selenium.
Python or java for test automation is probably the best language you must learn in the subsequent year and improve your existing skills. Python is preferable as it has large libraries for helping the developers to perform the right actions without the need for writing new codes for every task.
Underneath the GUI is PyInstaller, a terminal based application to create Python executables for Windows, Mac and Linux. Veteran Pythonistas will be familiar with how PyInstaller works, but with auto-py-to-exe any user can easily create a single Python executable for their system.
Automate with Python | Udemy
Python comes at the top of our list of programming languages for automation testing. It is the most popular free open-source programming language for automation testing. It's been used in creating web and desktop applications, game development, machine learning, data visualisation, network server, and many more.
We think that Python is the best language for Test Automation according to the criteria above. Java is also a good choice, and the arguments in favor of Java should also be considered, here you can not settle the dispute between fans of Python and Java.
You've to set up a project, write more lines of code, etc. Python is easy to learn, which makes it the number one reason to use it for automation. Whether you're a beginner or have done programming in other languages, you can grasp Python super fast since it has a really simple syntax.
Some of the disadvantages of Python include its slow speed and heavy memory usage. It also lacks support for mobile environments, database access, and multi-threading. However, it is a good choice for rapid prototyping, and is widely used in data science, machine learning, and server-side web development.
INSTRUCTOR
Frank Anemaet
