The programming language market changes quickly, and 2022 will be no different. The languages that top the list in 2022 are not the same as the ones that top the list now—and anyone who wishes to stay relevant will need to continue learning and mastering new programming languages, even if they master one or two right now. Here are 10 programming languages that you should learn in 2022 if you don’t want to be left behind.
The biggest programming languages in demand
First, let’s take a look at some of the more well-known—and evergreen—programming languages. From easy to learn to highly sought after, here are some of my top picks for programming languages you should be learning right now.
Top programming skills
- Asp . Net
Top programming tools
I’ve put together a quick overview of some of my favorite programming tools for each language—I highly recommend checking them out. Google Chrome DevTools is one of my all-time favorite developer tools, and if you’re serious about web development, it should be yours too.
How developers work?
In our survey, developers said that almost a quarter of their time is spent searching for information online. Whether you’re just starting out as a developer or are looking to refine your skills, these 10 programming languages will make your time searching easier and more productive. Learning how to code with Python : I found Python by reading an essay called How to Think Like a Computer Scientist: Learning with Python by Swaroop C H.
Key technologies that you need to know about now
- Ruby on Rails.
These are absolutely essential to know if you’re interested in being a full-stack developer, as they can be used for front-end development and back-end programming. The only exception is Java – it’s not needed for new technologies being built anymore because it’s old and slow.
Programming language trends for the next 3 years
The top programming languages of 2019 will be Python, R, and Java/Scala. These three languages are used heavily in machine learning, artificial intelligence, and deep learning applications; they’re also widely used for back-end processing of web data. All three have something else in common: They don’t require much up-front investment to learn—you can get started quickly and use what you know to build out increasingly complex apps over time.