Top Programming Languages For Data Developers In 2019

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If you are a data developer, then you need to invest in learning the right programming languages. There are a ton of languages on the market, but some are more reliable than others. You will have a lot more job security if you invest in the right field.

There has been much debate with regards to which is the most suitable programming language a developer should use. All current programming languages have their strengths and weaknesses whether they are compiled or interpreted. However, some languages are more popular than others due to the learning curve and availability of support. This article, therefore, discusses the top programming languages of 2019.

Python is one of the most important languages for data science. There are several reasons they are correct.

The popularity of python has been on the rise and is showing no signs of waning. You will encounter it all over web applications, network servers, desktop application, media tools, machine learning, and others.

This programing language might prove useful for application programming interfaces APIs or in back-end servers especially in firms dealing with site reliability or security. Likewise, other popular web development frameworks such as a pyramid, Django and turbo gear are all python-based.

Lastly, python is a beginner’s favorite language as it is arguably the easiest to learn while still being a high-level and easy to interpret language.

Not many data scientists specialize in JavaScript programming. However, it is still a good ancillary language to have, especially if you are working on web projects.

Slightly more than half of the entire developer’s community uses JavaScript. It is a very crucial language especially for front-end development and is increasingly gaining popularity in back-end development. Game developers and IoT programmers are also catching on to JavaScript.

This language allows the developer to create interactive websites and is a highly useful web tool alongside CSS and HTML. If you desire to venture into web development, it is imperative to learn JavaScript. However, you can also do other stuff with it due to its simple user interface.

In case you have never heard about this programming language, Rust is a new language primarily implemented at the system level and is on the verge of bringing a radical change to how we perceive programming. It is great for data scientists. Created by the Mozilla foundation, Rust is a low-level language created for the sake of writing critical code. Its intended use is to avoid buffer overflows, dangling pointers, and other memory errors.

The learning curve of this language might be considered steep for beginners. The reason is that it emphasizes specific rules aimed at memory safety. Nevertheless, veteran developers love it, and most probably in the next few years, its demand might skyrocket.

This is a minimal programing language similar to python. It was developed by Google who is also heavy users of python.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.