Factor #1: The job market - Deepstash

Factor #1: The job market

Java is mentioned in more job postings than any other programming language. JavaScript is a close second.

But here’s the thing about JavaScript: even though it’s been around for 20 years, it only recently became a serious tool that companies like Netflix, Walmart, and PayPal would build entire applications around.

As a result, plenty of companies are hiring JavaScript developers, but there just aren’t that many on the job market.

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MORE IDEAS FROM THEARTICLE

Learn one language well. Then learn a second one.

In order to move beyond the basics, you need to learn your first language well. Then your second language will be much, much easier.

From there, you can branch out, and become a more well-rounded developer by learning lots of languages:

  • C is a great way to learn how computers actually work in terms of memory management, and is useful in high-performance computing
  • C++ is great for game development.
  • Python is awesome for science and statistics.
  • Java is important if you want to work at large tech companies.

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This is where JavaScript really shines. JavaScript runs on any device that has a browser, right there in the browser. You can build basically anything with JavaScript, and share it anywhere.

Because of JavaScript’s ubiquity, Stack Overflow co-founder Jeff Atwood coined his now-famous law:

“Any application that can be written in JavaScript, will eventually be written in JavaScript.”

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Most programmers would agree that high-level scripting languages are relatively easy to learn. 

JavaScript falls into this category, along with Python and Ruby. 

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The average Javascript project receives twice as many pull requests as the average Java, python, or Ruby project. 

Javascript’s Ecosystem also benefits from a heavy investment of money and engineering talent from companies like Google, Microsoft, Facebook, and Netflix.

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Computer Science 101

Many universities still treat programming like it’s computer science, and computer science like it’s math.

As a result, many introductory programming courses focus on low-level-of-abstraction languages like C, or mathematically-focused languages like MATLAB.

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  • Python is a general-purpose, object-oriented programming language.
  • It emphasises code readability by using white space.
  • It is easy to learn.
  • It is a favourite of programmers and developers.
  • Python is very well suited for use in machine learning at a large scale.
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