Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than every, Python development services are a priority for high-scale enterprises and startups.
Python developers are in high-demand – mostly because of what they can achieve 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 for AI-based projects, Python has turned out to be the best programming language for AI. It offers great libraries and frameworks for AI and Machine Learning (ML). They offer 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 look into the following:-Why use Python software for Machine Learning and AI The best Python libraries for AI Conclusion
Let’s understand why developers prefer the programming language over others like R, Go, Scala, and others for AI-based projects.
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Why use Python for Machine Learning and AI
Surveys show that Python is now one of the top programming languages after C and Java. It offers developers to build powerful backend systems for Python AI projects. There are multiple benefits of Python programming language for Machine Learning and AI development. Let’s have a look at them in detail.