List Of Best Programming Languages to Learn in 2018

Best Programming Languages to Learn in 2018

Development is an ever-upgrading area to work in. Global involvement and changing market demands have resulted in the plethora of programming languages, arrayed to confuse the new learners. You may find students asking the queries, like:

  • To learn latest arrivals like GO and Kotlin or is it better to stick to legendary languages like C and Java?
  • Is it Python making the louder roar or Scala is dragging more attention in the tech world.

Best Programming Languages to Learn in 2018

All in all, it’s a great puzzle to solve and select the best language to learn among hundreds. However, we’ve jotted down the evens and odds of 11 best programming languages, which will pay highest and will remain in great demand during 2018. Pick as per your career choices:


Estimated Salary Range: $155-160k/year

Scala is surely the best general purpose programming language that supports the functional programming as well as imperative programming approach. Its scalability, real-time processing powers, object-oriented nature and data-handling capacity has made it the favorite of developers and IT market. It can synchronize perfectly with Java and Haskell as it runs fine on JVM.

Official Website:

Online Course: Scala – Getting Started 

Who Should Learn Scala?

Scala is frequently used to design Web applications, Data streaming with Akka, Parallel batch processing, Concurrency and distributed application, Data analysis with Spark, AWS and Ad hoc scripting in REPL. Programming enthusiasts, having interest in these areas and willing for high salary packages (Off Course!) should put their efforts in enriching Scala Knowledge and Skills.


Estimated Salary Range: $120-125k/year

As Data is the fuel of 21st Century, R has become lingua franca of data science. It is currently facing rising demands, which indicates that future is brighter. It is a free open-source statistical programming language. That is why it is most commonly used by statisticians and data miners. R is supported by general public license and its source code is written in C and FORTRAN. It’s highly complex problem-solving capacity makes it admirable.

Official Website:

Online Course: R Programming A-Z™: R For Data Science With Real Exercises

Who Should Learn R?

R is highly demanded among data scientists. If you are thinking to become an excellent data analyst and developer, you can opt learning ‘R’. This language is having a wide scope of application in industrial sectors as well as in academic sector. It’s great data analyzing capacity make its useful in stats and data analysis. As it supports 3D graphics and unique data visualization features, it is going to bring you countless opportunities.


Estimated Salary Range: $100-105 k/year

C is the mother of all programming languages and the craze for learning this language is constantly-hiking. The cause? Well, it still promises amazing salaries and is still considered the first ladder to learn to programme.

C is used for writing operating systems and inventory of other languages like UNIX, Perl, PHP, Ruby. C is strongly preferred in applications where performance matters. Where high-level languages can slow down the performance, C works smooth.

Online Course:  C Programming For Beginners

Who Should Learn C?

For everyone, who is willing to get into hardware coding or embedded system, there is no better choice than C. C finds major applications in Open source Application software, system programming, optimization techniques, networking, evaluating mathematical equations, designing compilers, database, spreadsheets, computer and mobile games etc.


Estimated Salary Range: $95-90k/year

It is a statistically-typed language and takes less time to execute rather than dynamically typed languages. C++ developed programs execute faster than a Java code.It is widely used in developing graphical applications like mobile games, solving mathematical equations, designing operating systems like window XP, apple operating system, Indexing, Internet browser like Mozilla Firefox, Adobe system, Photoshop, database design, Google applications like chrome.

Official Website:

Online Course: c++ course path

Who Should Learn C++?

C++ is a highly scalable and user- friendly language. It would be a great choice for beginners to learn it as it is very much similar to C. And if complexity, back-end coding, application programming and logics interest you, C++ can pay a decent amount of salary for sure.


Estimated Salary Range: $90-100k/year

Apple’s personal-favorite (huh?)!

Swift is useful for developing mobile applications and web applications. Apple is frequently using this language to design OS X  and iOS applications and for designing apple stores. Swift is easier to read and understand and it is unified with memory management that is why the future demands swift.

Official Website:

Online Course: The Complete iOS App Development Bootcamp

Who Should Learn Swift?

If you want to learn a language with fewer efforts and for high earning, you should learn this language. You will soon be coding iOS Applications as other Apple Programmers. The language has good market demand and pays as good as the Apple’s products and apps.


Estimated Salary Range: $90-95k/year

Picking the best of C and C++, Python is made. It is a very powerful language high-level programming language, capable to structure a clear small-scale program as well as large-scale programs with same ease. The auto memory management feature, along with function-oriented and object-oriented functionality, makes Python a frequently-picked choice.

Official Website:

Online Course: Complete Python Bootcamp

Who Should Learn Python?

Python is frequently demanded to design Graphic user interfaces (GUIs) like video games, in web development, supporting internet protocols (FTP, IMAP), for 3D CAD/CAM applications, audio/video applications, consoling applications, software development, Education web portals, Administration Apps and editorial notes etc. It is good option to learn for beginners who wish to perform the expert level tasks. You can seek a lot of awesome career opportunities by learning this language.


Estimated Salary Range: $85-90k/year

Ever-green, super-lengthy, super-power and platform-independent – Java still has a decade (or century?) to rule!

This general purpose object-oriented computer programming language can be compiled and run on every Java platform without recompilation. Java applications are compiled to bytecode and run at any JVM (Java virtual machine). Its maximum syntax is influenced by C and C++.

Official Website:

Online Course: Complete Java Masterclass

Who Should Learn Java?

Java plays a wide role in designing mobile applications, web server and applications servers, Enterprise applications, scientific applications, Graphic user interface (GUI) applications like abstract windowing toolkit (AWT) etc. So if you would love to code the applications, software products, web apps and mobile apps, it will be great to become a Java Developer. You’ll earn faster too.


Estimated Salary Range: $50-110K/year

The trend of the web apps has increased the demand for JavaScript. This client-side scripting language has grabbed more attention in the recent days due to the increase of JS-based frameworks. React JS, usage in LAMP development, Angular JS, VUE JS, and many other frameworks are out to appeal the industry.

Official Website:

Online Course: The Complete JavaScript Course

Who Should Learn JavaScript?

From Web app development to front-end, JavaScript has found its applications everywhere. Probably, this is the reason behind such a varying and attractive salary range being provided for it. People, thinking to work in software engineering, web development, interface-building, and vulnerability checking domains can opt for JS.


Estimated Salary Range: $80-85k/year

This multi-paradigm language is not Object-oriented but can do almost everything which can be done using OO languages. GUI applications, game libraries, OpenGL application and many web projects utilize Rust. The language is competent to C++ and is fast-expanding its wings in the global IT industry.

Official Website:

Online Course: The Rust Programming Language

Who Should Learn Rust?

Rust is a fun and flexible language to learn and is easy to use alongside. It is finding good applications in the industry, which has increased the demand for Rust developers. For good web and video game programming opportunities, you can choose Rust over other programming languages.


Estimated Salary Range: $65-70k/year

If you thinking to learn something related to Android, then you must go with Kotlin instead of java. As it runs on Java and compiles well to Java bytecode, it will be the most-used future coding language for Android OS. You can directly start tinkering with Android and Existing Java at the beginner level, by going through some Kotlin tutorials. It is used to convert Java to Kotlin by the android studio, auto-saved string templates, adding extension functions, designing android APIs, etc.

Official Website:

Online Course: The Rust Programming Language

Who Should Learn Kotlin?

Google has announced that all they will soon be launching an app browser. After that, it will be essential to convert all the apps in Kotlin (if you do not want to lose your users). Looking Interesting? Trust us, Kotlin is the perfect future!


Estimated Salary Range: $60-65k/year

Google Go is all set to take over the market. This is a compiled language and passes the code-build-test in few seconds, which makes it more popular. It meets the challenges over multi-processor computing environment. In the few years, its market will definitely increase by 200% or more (Nothing to be surprised here!). Famous devops tools like dockerkubernetes and terraform are written in go.

Official Website:

Online Course: Go: The Complete Developer’s Guide

Who Should Learn Go?

GO is used in designing toolbox, documentation of browser, search engines, source indexing, analysis, and search. So, it will be beneficial for securing a good earning package by learning this language. Also, people who are into devops, this is a great language for creating small to big utilities.

We have published the best programming languages for 2017 last year

Still got queries? Nothing to worry. Ask us through commenting below because asking and getting it resolved is always better than picking the wrong career lane, agree?

Best Programming Languages to Learn in 2018

DevOps: Don’t forget these programming languages 

programming languages for devops

Do you want to succeed in adopting devOps? If so, then you require to dive into a few basic yet essential programming languages that make the process of adoption easier like never before. The following post emphasizes on such programming languages that are commonly used in DevOps environments to drive automation.

Additional note: If your favorite language isn’t on the list then it doesn’t mean it isn’t the bee’s knees. DevOps is a term used to define a state of mind and a methodological process for technology. This means it’s not an ironclad one-size-fits-all tech approach.

Earlier, practicing continuous integration and continuous delivery was something that was next to impossible. But with advanced levels of automation, application delivery is made friction-free with continuous integration/continuous delivery workflows.

Without wasting any more time, let’s dig right in! (In no particular order)


Google’s open source programming language – Golang is more or less made for devOps. Developed for speed, the language emphasizes on lean, network-efficient runtimes means great things for DevOps. Its way less verbose than Java, and built on a foundation of C without any of the drawbacks.

It may quite interest you to know that Docker, the king of containers is also written in Go. And this is simply because it is easy to compile standalone, static binaries for all major operating systems. No libraries, no dependencies, nothing.


Popularly known as all-purpose language, Python is crowned by GitHub as its second-most popular programming language and fastest-growing major programming language by Stack Overflow. But when it comes to devOps, Python easily reduces maintenance problems with monitoring and deployment tools like Ansible, salt, and more. Options like OpenStack give developers the resources to create private and public cloud infrastructure.


It is a safe bet to say that the world of the internet runs on JavaScript as well as HTML. Many of the most popular frameworks and libraries are written in JavaScript, from Angular to react and Node. Server-side implementations aren’t the only thing this language has to offer: the massive community of developers means that there’s always help available on GitHub or Stack Overflow. JavaScript is a safe bet for developers. However, JavaScript is a bit more complicated when it comes to devOps but it doesn’t mean that they don’t work together. After all, what would DevOps be without Node, npm, or Angular? I don’t even want to think about it.


C may be old but even today it is considered relevant in numerous ways. C / C++ was the foundation for a lot of modern computing and its bones are still structurally important today. If you need to directly manipulate the hardware itself, there’s no better language than C.

Unfortunately, C and C++ face a large hurdle in DevOps. For example, C/C++’s sheer size is an order of magnitude or two larger than languages like Go or Ruby. However, there are ways to solve this.

The list doesn’t end here… You will come across numerous programming languages that work well with devOps, so choose wisely. Keep watching the space to know more!

programming languages for devops

How to Add Persistent Volume to Pods in Google Kubernetes Engine

kubernetes persistent volume for GKE

If you want to preserve the data even after a pod deletion or pod failures, you should use persistent volumes. For GKE, you have to option to create google cloud persistent disk and use it as a persistent volumes for the pods.

Setup Persistent Volume For GKE

Note: When using persistent Volume, only one replica will be able to do read-write operation. With more than one replica, you can only use the PD in the read mode.

In this article, I have added to steps to setup persistent volume for the pods running in GKE.

Before deploying the pods, we should create a storage class

The following config will create a storage class gold with gce-pd as the volume provisioner.

kind: StorageClass
  name: gold
  type: pd-ssd

Now, we will create a persistentVolumeClaim (PVC). We will use this volume claim in our deployment config.

The following config will create a PVC named jenkins-data in jenkins namespace under gold storage class that we have created first. You can change these names accordingly.

apiVersion: v1
kind: PersistentVolumeClaim
  name: jenkins-data
  namespace: jenkins
  - ReadWriteOnce
      storage: 50Gi
  storageClassName: gold

In the Kubernetes deployment config, you can use the newly created PVC using the following volume definition.

  - name: jenkins-persistent-storage
       claimName: jenkins-data

Example Deployment Config With Persistent Volume Claim

A full Jenkins container definition using persistent volume is shown below.

Under container spec I defined the volume name and mount path required for the container.

Under Volumes definition, I have mentioned the volume name and our newly created persistent disk for mounting it to the pod.

[irp posts=”647″ name=”Jenkins Tutorial For Beginners – Getting Started Guide”]

This deployment creates a Jenkins pod with all its data mounted to the persistent volume. So, even if you delete the pod, a new pod will come up and mount itself to the persistent volume. So you will see the new Jenkins pod with all the old data and configurations.

apiVersion: extensions/v1beta1 # for versions before 1.7.0 use apps/v1beta1
kind: Deployment
  name: jenkins-deployment
  namespace: jenkins
  replicas: 1
      app: jenkins
        app: jenkins
      - name: jenkins
        image: bibinwilson/priveleged-jenkins
        - containerPort: 8080
              - name: jenkins-persistent-storage
                mountPath: /var/jenkins_home
      - name: jenkins-persistent-storage
           claimName: jenkins-data

Hope this article helps. Let me know in the comment section, if you face any issues,


kubernetes persistent volume for GKE