Most Popular Automation Programming Languages

Automation is when a process is programmed to work on its own without human intervention. It saves time and improves productivity in various industries. Not all industrial robot languages ​​are ideal. You need to learn the best automation programming languages ​​if you want to pursue a career as an automation developer.

This article describes the five most popular automation programming languages ​​and why they are important. It also includes a short tutorial on learning automation. Read on to discover an automation engineer’s preferred language.

What is automation?

An automation developer programs operating systems to run the production of goods and services without human intervention. Automation is used in various industries such as utilities, manufacturing, operations, national defense and many others. Information technology automation uses programming languages ​​to iterate processes. This improves productivity and efficiency in the workplace.

What are programming languages?

Programming languages ​​are rules designed by software engineers to send instructions to computers. These programming languages ​​are written in lines of code. When in the right order, they can be used to create software programs. The software can be anything from a mobile application to the interface of a production machine.

What programming languages ​​do automation engineers use?

Automation engineers use scripting, object-oriented programming languages, and high-level programming languages ​​to provide automated software solutions. They often use the same automation languages ​​as mechanical engineers, artificial intelligence engineers, and machine learning engineers in a development team. There are numerous programming languages ​​used by automation engineers.

Best programming languages ​​to learn for automation

  • Python
  • C#
  • javascript
  • Java
  • PHP

Which programming language is best for automation?


Python is one of the most common programming languages ​​used by automation engineers. This high-performance, object-oriented programming language is scalable and can be used in small and large-scale automation projects. It is a preferred programming language in the automation industry, with Python developers earning about $111,899 annually.

Python is an ideal option for automation because it is a server-side scripting language. This makes it an ideal language for testing selenium automation. The popular language has a wide variety of libraries and frameworks. Consider using automation tools such as Pywinauto, Behave, Robot frameworks, and Selenium.


C# is a popular automation programming language in the C family. It is a universal programming language with multiple paradigms and powerful features that make it an excellent solution for automation. The object- and component-oriented programming language is used for automation testing on Visual Studio.

C# is a beloved programming language that supports binding with Selenium, one of the best automation frameworks in the tech industry today. Install Visual Studio to create your Selenium C# automation framework, complete the installation and start your automation.


JavaScript is a general purpose programming language commonly used for developing websites and web applications. It is also an ideal tool for automation, thanks to JavaScript for Automation (JXA), an automation interface. AppleScript, the programming language designed by Apple, is made on JXA.

JavaScript, a programming language for front-end development, currently has the largest resource library in the industry. This way you can easily learn the language. There are also free online courses to learn on your own.


Java is one of the oldest programming languages ​​that is still relevant today. It was developed in 1995 and is known for having few implementation dependencies. Organizations like Oracle Corporation and Google use Java for automation.

As a Java developer, you need to learn how to use automation testing tools like Mockito, Spock, JUnit, TestNG, Selenium, and REST. If you need to learn to code in Java before learning how to use it to create automation tools, you should be able to gain the necessary knowledge in a few months.


PHP is another popular open source programming language often used for server side development. The scripting language has similar capabilities to Python and can be used for automation. Like the other preferred programming languages ​​for automation testing, PHP can be used on the Selenium framework.

Some other great PHP frameworks for testing automation are PHPSpec, PHPUnit, Codeception, and Behat. Other options for people who want to learn PHP for automation are Peridot, Kahlan, and Atoum.

Which programming language should I learn first for automation?

JavaScript is the first programming language you should learn for automation because of its application in web technologies. You don’t need to install fancy software for JavaScript automation as long as the open source tools are already in your browser. Setting up this ideal programming language saves time and improves the efficiency of laptop and desktop applications.

After you’ve mastered JavaScript for automation, consider learning Python. While JavaScript is the top choice for web automation testing, Python follows closely because it’s easy to learn. Python also has a range of use cases, from web development to data science.

Is it possible to choose the ‘wrong’ programming language for automation?

Yes, it is possible to choose the wrong programming language for automation. This error will slow down the entire development project because you either have to stop to make changes or start over. To choose the right programming language, you need to consider the type of project. For example, JavaScript is ideal for testing web automation. This means it can be used to create maintainable test code.

How do you learn automation?

You can learn automation online or pursue a degree in robotics, software engineering, or computer science. If you plan to pursue industrial automation, you can take advantage of an internship program at a company of your choice. If an internship or college degree isn’t an option for you, the steps below will help you learn automation.

Choose a specialization

Automation is applicable in different industries, so it helps to determine which industry you would like to work in. This way you can choose a learning path that matches your future career plans. It will also influence the choice of fixed, programmable or flexible automation.

Learn a programming language

Your career path should now be clearer to you once you have chosen a specialization. Start by learning JavaScript, Python, or any other programming language that can be useful in the field of automation. You can learn programming yourself on platforms such as Coursera or Udemy.

Apply the language to automation

Once you understand the basics of programming, you will learn how to use programming for automation, be it test automation, robotics or defense. Some courses to watch are: Software Testing and Automation: The University of Minnesota by Coursera and Automate the boring stuff with Python programming by Udemy.

Create a portfolio

Once you have coding and hands-on experience, you can create a work portfolio. The portfolio should be a collection of all your practical automation projects. Make your successful projects public for others to see. You can host your portfolio on your own website.

Apply for paid jobs

Create a resume, add it to your portfolio, and apply for paid jobs in the industry of your choice. If you don’t have a bachelor’s degree, consider applying for entry-level positions and working from there.

Learning automation: top resources

  • Appium† This website is great for people who want to automate mobile app testing. The open-source framework provides the perfect virtual environment for automated testing of iOS, Android, Windows and other operating systems.
  • Udemy† Udemy is a reliable online learning platform that allows you to learn automation for free or at a reasonable price. You can learn industrial automation, app automation and other courses to master the Selenium framework.
  • Selenium† Master automation by using the Selenium framework. This open-source framework is one of the most popular resources used for web browser automation.
  • Boozang† Boozang is a popular choice to practice efficient test automation. The difficulty is low, as Boozang is not only for a developer community, but also accessible to wider user communities.
  • coursera† Coursera is an e-learning platform with different courses for different types of specialization. Browse the collection and choose the option most suitable for you.

Ready to break into technology?

If you’re ready to break into technology, learning to program automation is one of the best ways to get started. The evidence in the technology industry shows that automation has become indispensable. Once you learn Python, C#, Java, JavaScript, or PHP for automation, you can break into other tech industries that interest you. All you need to do is take the first step by learning with the resources at your disposal.

FAQs about the best programming languages ​​for automation

Which language is easiest to learn for automation?

Many professional developers use Python because it is the easiest language to learn for automation. It has a clear syntax and is currently one of the most human-readable languages ​​in the industry, with a wide variety of testing frameworks.

Which language is best for industrial automation?

Python, C# and Java are currently the top three programming languages ​​for industrial automation. They have the right combination of functions, frameworks and libraries for fast and efficient implementation.

Python or C++ better for robotics?

Python is just as good as C++ for programming. However, Python is easier to learn, especially if you are a beginner in the programming or robotics industry. Another factor that makes Python popular in robotics is its application in machine learning.

Is automation difficult to learn?

Automation is not difficult to learn if you have the right knowledge and combination of tools. The type of automation you choose will also affect the difficulty. For example, it is easier to switch from manual to automated testing than to dive into robotics.

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