Programming languages are fast evolving to meet modern-day needs. Now, there are a plethora to choose from, covering every aspect of development including websites, apps, games and algorithms.
For tech recruiters, HR leaders and hiring managers it can be tough to prioritize the skills to hire in-house (or to source externally). When deciding, it’s worth looking at what’s popular now, what’s likely to become popular in the future, emerging technology and the skills required to meet your business goals.
According to our 2021 CodinGame annual survey of HR professionals and developers, the top 10 in-demand programming languages are currently:
- Java (59%)
- Python (48%)
- C# (40%)
- PHP (32%)
- C++ (27%)
- Typescript (24%)
- C (15%)
- Kotlin (15%)
- Swift (14%)
Read up on the top 4 languages to better-understand why they’re worth investing in.
Why prioritize your programming languages?
Why does it pay to prioritize your programming languages needs?
Firstly, because there’s such a wide range of languages on offer, it’s worth choosing the languages that best align with your current business goals, future strategy, industry and the in-demand roles your C-Suite and/or tech teams are requesting. For example, if your goals involve artificial intelligence (AI) then finding developers with Python knowledge is a good start. However, if you’re building games, then C# will be more suitable.
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The second most popular language in our survey was Java. It’s a top programming language because Java is the native language for Android, the most popular mobile computing platform in the world.
Java is popular for several other reasons. It has great portability, thanks to platform-agnostic Java Virtual Machine (JVM). This means that Java can run on nearly every system.
It’s also highly scalable. This makes the language popular among both enterprises and scaling start-ups.
“When web companies grow up, they become Java shops.” – James Governer from RedMonk
Java is a statically-typed language, so it’s faster and easier to maintain with fewer bugs. It’s also backwards compatible, so old versions of the language still run perfectly, even when new versions are released. Which will help keep costs for your organization low, as you won’t have to constantly re-write code every time a new version is launched.
Java is a popular language now, with a large community behind it that ensures its popularity well into the future.
Looking at Python
Despite its current-day popularity, Python was originally launched in 1991 and has been something of a slow burner. Recent years have seen a boom in Python’s ranking, largely due to its applications in Machine Learning and Data Science.
Python is a high-level, general-purpose language with uses in building web applications, analyzing data and developing algorithms. It has an easy-to-use syntax with an emphasis on code readability and simplicity. Making it ideal for junior developers, especially those who are interested in a career in Machine Learning, Artificial Intelligence (AI) and Data Science.
The language is known for being highly reliable and efficient. There are several Python libraries available to developers. These libraries help speed-up various tasks in Data Science, building AI algorithms and linking to APIs. Its reliability and efficiency make it popular for both large enterprises and start-ups. Plus, it can be used to automate certain activities, including some of your time-consuming day-to-day tasks.
Beyond this, Python can also be used for web development. Indeed, Python is used often in web scraping and something that could take hours to code in PHP will take mere minutes using Python. The website Reddit is built via Python, for example.
The active Python community is spearheading the language’s growth. Additionally offering best practice advice and troubleshooting for beginners and experts alike.
Because of this, Python is known as the “fastest-growing major programming language”. With applications in some of the most exciting (and fast-growing) technologies today, developers who know Python will quickly find roles in Big Data, AI, Robotics and Cybersecurity. Because of the growing ubiquity of these technologies, it’s worth investing in Python skills now as your organization will most probably need some kind of Data, AI and Cybersecurity experience in the near future.
Sharpening skills with C#
The C programming language is one of the oldest, most popular programming languages thanks to its portability and early adoption by tech giants like Apple and Microsoft. C# (known as C-sharp) is a spin-off of the original language, developed in 2000 by Microsoft.
It is an object-oriented language, organized around objects instead of actions, and data instead of logic. Its features are similar to Java, and C# is particularly effective for building Windows desktop applications and games. It can also be used to develop web and mobile applications. C# is often used for large company applications such as processing bank transactions.
In particular, if your organization works within the gaming industry (or is planning to) then C# is a worthwhile investment. 34% of the top free mobile games are made using C#, along with virtual reality applications. It’s often used to develop games using Unity, including Temple Run Trilogy and Assassin’s Creed: Identity.
Plus, as a high-level programming language, C# is rather user-friendly to learn and more independent from a computer’s hardware architecture. Your developers can also spot errors more readily in C# because the code is checked by the framework before it becomes an application. It also gives a decent grounding in other C languages like C++ making them easier to learn in the long-run. Offering an obvious learning and development (L&D) pathway for your team. With all that said, however, C# does require more time and effort to learn than Python.
The right choice for your organization
Starting with one of the four programming languages we’ve just discussed will give you a strong foundation. However, ensure you always keep up with the changing times. Keep an eye out for the next big thing in programming and your industry. That way, when a new language or use case appears, your organization and developers will already be a step ahead.