Once software programming was a mysterious place to be. They were exclusive people skilled in coding. Modern IT jobs require proficiency in programming languages, but…more than one!
The more you look into the programming languages tutorial, search indexes, and Google Trends, the more difficult it will become to compare and contrast one language with the rest. All the raw data comes from Google trends. The PYPL Popularity of Programming Languages index strongly indicates which language to study and which ones to use in the new software projects in 2023. Overall, Python is the most popular, highly preferable programming language in the last 5 years. It paced ahead of Java on a logarithmic scale by the PYPL Popularity index.
PYPL index has been cited in many trade journals like Developer Tech, DevOps, InfoWorld, eWeek, and Techworld. It differs from the TIOBE index (which is a lagging indicator). Whether its for developing a mobile/web application, getting a certification, learning new skills, or learning the right programming language to help you in future projects, you need to upgrade your portfolio with the newest programming languages. Here’s a brief on 7 top programming languages to learn in 2023:
Why will web developers use Python in 2023?
Python was designed as a simple scripting language for a Unix-like operating system. It will be voraciously used for web development, data analytics, machine learning, data engineering, data science, artificial intelligence, and machine learning. Python commixes scripting and a full-fledged programming language. It is the go-to language for developers engaging in deep machine learning projects. It is for companies looking to scale up by using big data analytics or efforts aimed at achieving automation in social applications. Python has a simple to complex syntax. But it might take 5-10 weeks to go through the basics of data types, loops, variables, functions, and object-oriented programming to get started with Python Web development.
Python can be rewarding for budding AI programmers, and web developers who wish to take their careers to the next level with higher salaries. There are new certifications to grab – Star AI & Machine Learning, Start DevOps Expert, Star Expert IoT Specialist, and Star Robotics Expert, and upcoming which can differentiate you from your contemporaries.
What is the future scope of R Programming Language?
Similar to Python, the R programming language is suitable for developing powerful machine learning algorithms. R will be preferable due to its open-source and extremely versatile nature. It is the core tool for statistical analysis, data science, behaviour analysis, sentiment analysis, business intelligence, software development, stock market modelling, fraud detection, weather forecasting, and record keeping. R is often viewed as a high-powered scratchpad inside the IDE to play with extensive data. Top Enterprises like Capgemini, Accenture, and Cognizant have implemented R in their processes.
Why will mobile app developers stick with Swift iOS programming language?
Swift is aptly called the future of iOS development as it reduces development time and it can be read without complexity. It offers a clean syntax, which makes the process of reading, writing, and editing a lot simpler. It explains much in fewer lines of code. Mobile app developers can extend their functionalities with new features. Apple supports Swift more than Objective C now. Plus, Swift is high on performance and encourages clean code. Swift comes with strong typing, and error handling but is backward incompatible. but gelling it up with Xcode solves this issue to some extent. Initially Swift came into being to replace Objective C for Mac and iPhone.
What makes Go future-proof?
Golang (Go) is a long-lasting programming language for the future. It will continually develop and is increasingly popular for cloud service providers. Suitable for back-end development, and quick start-up time, Go is more lightweight than Python. It fares well for quick website development. It is adapted to minimal web applications, web servers and API. It has the potential to automate programs that share data while running on separate PCs at the same time. It supports concurrent programming but does not use class inheritance. It makes use of runtime polymorphism through interfaces, helping programmers to build larger forms from smaller ones (similar to the parent-child model).
How will Scala scale up in the coming year?
Scala is easy to learn which makes it desirable for beginners. It is rushed by Java developers and stipulates problem-solving. Also, it allows Java developers to write parallel and concurrent applications in Scala, making use of the native Java threads. It is designed to run on JVM, is statically typed, and compiled in Java Byte Code. Companies like LinkedIn, Twitter, Netflix, Tumblr, FourSquare, and AirBnB have enforced Scala into their processes.
Why is C# still recommended for the future?
What’s Kotlin’s scope in future?
There are more than one reasons to prefer Kotlin in 2023. It is easy to learn. It is a near-sustitute for Google’s Flutter. Companies like Pinterest and Netflix are making use o Kotlin. It combines the best of object-oriented and functional programming, has clean – compact syntax and is used for general purposes. Being open-source, and strongly supported by developers, is one of the key skills to stay relevant in the tech job market.
How to make an informed choice of a programming language for a project?
Critical factors that development teams must consider as they establish their tech stack are:
- Type of application (native, hybrid)
- Features, Modules Complexity
- Time to market
- Scalability and performance
- Security and maintenance
Conclusion: How to get started?
Web Developers and Mobile application development experts keep experimenting with programming languages to come up with seamless applications. The languages in high demand, have been
Most of these programming languages act as APM tools by thousands of .Net, PHP, Java, Node.js, Python, and Ruby developers globally. These play an important part in app performance management, code profiling, error tracking, centralized logging, and app and server metrics.
Mobile app development companies follow a complex process which has to traverse various stages of the software development lifecycle (SDLC) to accomplish a project. There can be challenges with market research, competition in the market, device-specific update, release updates for various devices, and security from bloatware and malware.
Besides the ones we’ve discussed above, there are hundreds of programming languages that are popular among programmers for various reasons. These lead the pack. Once you’ve decided that it’s time to learn a language for app development, research and study online tutorials, blog posts, repositories, books and journals. Get certified, acquire hands-on training and fetch a high-paying job. This can be your starting step!