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As a Kotlin developer, I wanted to explore Data science through the Kotlin lens. After doing research, I found some interesting tools and libraries.
How does Kotlin fit into Data science? Curious right?
Earlier, we needed a programming language designed specifically for data science, but today we can do it with general-purpose languages.
The major qualities of Kotlin by design include conciseness, safety, and interoperability which makes it a great fit for data science. How is Kotlin different from Python – which is a popular data science programming language?
Learn how ready Kotlin is for data science, including the Kotlin libraries and tools for data science. Find out about some cool libraries with which you can play around and learn data science.
