Curated from: medium.com
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Any application that can be written in JavaScript will eventually be written in JavaScript.
A career in Javascript implicitly means you should also be comfortable with Html and CSS, which are basically what web pages are made of.
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This is a language for developing native iOS or macOS applications.
It is considered an improvement in terms of usability and performance compared to Objective-C — the language used for Apple’s iOS and macOS operating systems.
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Python is a general purpose language that you can find almost anywhere today.
You’ll find it in web applications, desktop Apps, network Servers, machine learning, media tools and more. It’s used by big players like NASA or Google,
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Popular career paths with Java are Backend developer, big data developer, embedded systems engineer, or Android developer.
If you are comfortable with Java, it’s only a matter of time before you’ll find the right place. If you are comfortable with Java, it’s only a matter of time before you’ll find the right place.
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C++ is a highly efficient and flexible language, first created back in 1985.
Plenty of large systems have been created and maintained successfully using it. Getting comfortable with C++ would give you a deeper understanding of how languages work.
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First appearing in 2010 and has already gained remarkable popularity. The main difference is that rust is memory-safe. One of the most common faults you could find in C code is dangling Pointers, buffer Overflows, or any other kind of memory errors.
The language is being developed by a household name in it, Mozilla.
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Scala stands for Scalable language and is one of the many attempts to “rewrite Java” while improving its drawbacks.
Big companies like Linkedin, Twitter, and the Guardian use it in their Codebases. Scala ranks high in salary surveys, making the top ten worldwide.
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If you find yourself interested in this field, R is a stable and profitable career choice.
If you are looking for free courses to try out any of the above-mentioned languages, you can check out our advice on choosing from the best tutorials.
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Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
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