Is Python programming used in artificial intelligence?

 Over the years, choosing the best programming languages between a variety of languages is one of the current debates between programmers. However, your preferred language is undoubtedly the one which you are most comfortable to access and enables you to get the job done efficiently. And one such programming language is Python.

Python comes up with a considerable number of inbuilt libraries that influenced the fact that Python is quickly spreading in the area of AI. The extensive range of frameworks and libraries for Artificial Intelligence and Machine Learning, making it the most preferred language for artificial intelligence development companies. Some of the popular libraries are TensorFlow, Pylearn2, Scikit learns, and the list keeps going.

Secondly, Python is known for its robust, easy implementation and large community. Even programmers with basic knowledge can access this language and do wonders.

AI and ML are seeping into nearly every aspect of our lives, helping us in ways that augment our abilities and make us better at what we do. For instance, voice assistants such as Alexa, Google Assistant, Siri, and Cortana are transforming the way we work, study, and entertain ourselves.

AL and ML solutions are intelligent, i.e. they are different from traditional software applications. The focus here is more on in-depth research, data collection, and predictive analysis. Consequently, the language to be used here should be stable, flexible, and have a variety of tools.

One language that holds a special place among all is Python. Python programming language is among developers’ favourite languages for AI and ML development because of its simplicity, shorter development time, consistent syntax, platform independence and access to a huge set of libraries. (Reasons are discussed in detail in the later section)

When you code with Python programming language, you get a well-structured & tested environment where you can quickly turn your ideas into action. Also, it takes less coding and time to solve complex computational problems.

Moreover, as you get closer to understanding and working with Python app development, you will find it easy to handle massive amounts of data (i.e. data analysis and parsing required for AL and ML work well with Python, and its libraries).

AI and ML have a profound effect in the world we live in, with new solutions coming up day after day. Enterprises have realized that there is no better time than now to invest in these technologies. With its amazing set of libraries, simple & clean coding format, fast prototyping, outstanding flexibility, and huge community support, Python makes the development process of AI and ML-based projects a lot easier, fast, and budget-friendly.

If you are looking to learn python with hand-on training then I would recommend you to take a look in Technogeeks AI with the Python program by working IT professionals.