Using Python microservices allows you to break up your apps into smaller parts that communicate with each other.

This can make it simpler to scale the application based on the traffic.

Additionally, the separation of concerns makes it easier to work on just one part of the app at a time.

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As machine learning becomes more and more mainstream the more applications can be made smarter with the use of AI.

In the past, Web applications were comparatively simpler in nature. They mostly functioned as data collection platforms with simple interfaces. With the prolific growth in Web technologies, these apps have evolved into complex and dynamic entities.

Machine learning (ML) is evolving rapidly and is being applied to various domains. Web apps, too, can be enriched with ML capabilities and become more powerful. Machine learning can be incorporated into Web applications in two ways: