List of the best programming languages to learn in 2017

best programming languages to learn in 2017

Programming Languages… AH! There are so many!! And it is really confusing to figure out which language you should learn. Should you choose C, the Yoda of languages or choose something like Python, Luke Skywalker of the geek world. Or maybe it could be between Java and Ruby. Well, whatever you learn or give up, it is difficult to decide. It’s like all the languages are attracting them towards you and you have no clue what to forego and what to choose! Let’s get down to business, shall we.

Best Programming Languages to Learn

We have compiled a list of the best programming languages you can learn, potential salary and community support. Maybe after reading this article, you might be in a better place to decide.


If there was a language that had the best of both functional and object-oriented concepts, then it is Scala. It is a rockstar programming language – it brings in real-time processing and is an object of admiration. It has unhindered access to Java as it uses the JVM. It can handle huge data with its libraries, match patterns and focuses on interactive development.

Other great features include support for big data and REPL. The downside is its compiler which is quite comparable to a Pentium 5 processor. It could do with some improvement, but overall it is forgivable for its follies.

Average Scala Developer Salary: $112,000


Write anywhere, run anywhere – the mantra of Java is quite appealing for developers. It is an all-purpose friend, whether you are coding an application or planning to become a data scientist or a mobile app developer, Java can make your life easy! Since a large part of Android runs on Java, it is beneficial to learn to program in Java. Then you can probably start learning Android SDK and focus on app development in a full-fledged way.

Java has been in the business for a long time and has provided a foundation to many website and software structures. It can be used by data scientists as well, but it doesn’t provide the brilliance of R and Python.

If you want to learn a traditional language, then Java will be a safe bet. Many programming languages like Storm, Kafka, and Scala are running on JVM. So it looks like Java will be here for a long time to come! Java has nearly 9 million developers so you can expect exceptional community support

Average Java Developer Salary: $102,000


Python is quite simple to learn and follows the conventional object-oriented programming concepts. R is not well suited to fit in as a comprehensive tool for data scientists. Python fills in those gaps as it is a lucid and practical tool.

Naturally, it is one of the best languages if you are planning to move in the field of data analytics, data science or big data. Since Python puts a lot of emphasis on readability; it is quite easy to understand the code written by others. You can also run machine learning algorithms using Scikit-learn, the native machine learning algorithm.

Python is the guy that everyone likes in the party. The community support has grown over the years and now it is a huge name in the geek community. A data scientist should know deep learning, a rising subject in the machine learning domain. And, python has all the capabilities and vibrant community to help you achieve their learning goals.

Average Python Developer Salary: $102,000


If Python is Leonard Hofstadter, then R is the annoying and unforgettable friend, Sheldon Cooper. It has been in the business ever since 1997 and is a great alternative to heavy tools like Matlab and SAS. Statisticians love R and it has great utility in the corporate world.

R might be intimidating for beginners, but give it some time and let it grow on you. R makes data manipulation and handling complex data, a child’s play. It has vibrant community support and new features are added constantly. It is a highly popular language among data scientists.

Average R Developer Salary: $62,000


Swift is a programming language developed by Apple. Earlier, Apple ecosystem was revolving around Objective C. But in an attempt to make things easier for developers, Apple released Swift, it’s very own programming language.

Why should you learn it? That’s quite simple, if you see yourself as an iOS app developer, you must learn Swift. The flaws in Objective-C have been addressed by Swift, so you can see a relatively clean, fast and error-free. It can also reduce the length of your code, saving you time and energy.

Moreover, it is open source, so developers can also develop on Windows or Linux systems, design their compilers and be assured that their apps are compatible with Apple devices.

Average Swift Developer Salary: $112,000

Ruby on Rails

Ruby is a favorite among developers, startups, and established businesses. Although its fame was dwindling a few years back, RoR has started regaining its popularity. Ruby has largely improved the framework and has brought agility and modular approach for developing new applications. It has a thriving community support and you can expect constant improvements in code and huge support.

Average Ruby Developer Salary: $103,000

NoSQL Databases

In the realm of big data analytics, NoSQL databases are something you cannot avoid. If you are looking for an opportunity in the Big Data domain, you should consider learning the following NoSQL databases.

1. MongoDB
2. Cassandra.

You can view the list of NoSQL databases from here.

Average NoSQL Developer Salary: $105,000


Languages might change, but database requirements will never see a shift. Enterprises are reliant on SQL and database technologies like MySQL, Microsoft SQL Server are widely in used. And since the demand is always high, there is no doubt that the salaries for database professionals are high.

Average SQL Developer Salary: $92,000

Languages worth considering

There are other upcoming languages which might not be that well known and have less community support. But these languages are slowly making their presence felt. Few of the languages worth checking out are:


Julia is a newbie here and has the potential to surpass R and Python. It will need some more time before it can compete with the established players. Data scientists must watch out for Julia which is a fast growing language and has the capability to revolutionize data crunching.

GoLang (Go)

Go or Google Programming language, is based loosely on C. It has gotten a lot of popularity in 2016 and that might skyrocket in 2017. With an average salary of $117,000, Go can be a suitable option for developers.


Javascript has changed from simple UI language to powerful backend programming using NodeJs. There are many derivatives of javascript that you should consider. Following are the list.

1. NodeJS
2. Backbone JS
3. Angular Js
4. React JS.

You can see a full list of javascript libraries from here.

As in the smartphone world, there is no clear winner in the programming languages world as well. If there was ever a war among programming languages, it would be a damp squib. Although C and Python (PythoC or Cython) might win, each language has its benefits and shortcomings.

If you are looking for mobile development, maybe you could opt for Java or Python if your aim is to become a data scientist. However, becoming a ninja programmer takes time and effort. Make sure that you take the benefits of opportunities and have fun with coding!

Leave a Reply

Your email address will not be published. Required fields are marked *

You May Also Like