Python AI projects are becoming extremely popular among companies of all shapes and sizes. Here’s why the Python language is perfect for ML development.
Join the DZone community and get the full member experience. Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than ever, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand — mostly because of what can be achieved with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three. While there are other technology stacks available for AI-based projects, Python has turned out to be the best programming language for this purpose. It offers great libraries and frameworks for AI and Machine Learning (ML), as well as computational capabilities, statistical calculations, scientific computing, and much more. In this article, we will learn about a few aspects of the Python programming language that make it perfect for Machine Learning engineers. We will review the following: Let’s understand why developers prefer this programming language over others including R, Go, Scala, and others designed for AI-based projects. Checkout Pros and Cons of Python Surveys show that Python is now one of the top programming languages after C and Java. It allows developers to build powerful backend systems for Python AI projects. There are multiple benefits of the Python programming language for Machine Learning and AI development. Let’s have a look at them in detail. Apart from this, there’s an amazing Python community available for support, consistency, and simplicity throughout the development process.
