In which programming languages is it worth investing during 2022? The most popular languages overview part 1

Posted: 2022-09-13
Written by: Tomasz Przedziński

We have already covered the steps for creating your own application. However, we still get heaps of questions about the best programming language to write that web or desktop application, technologies that will represent a given concept, and tools to make the application as optimal as possible. We asked one of our experts, Tomasz Przedzinski, for his opinion. Tomek has put together a series of posts on the most popular programming languages, which will take a deep dive into the different technologies, take a closer look at the popularity of programming languages and give some tips on what to write a web or a desktop application in.

A number of us occasionally keep an eye on the TIOBE index, an extremely versatile indicator of programming languages’ popularity. It makes for a very useful tool, showcasing not so much the trend of today’s market as its status quo in terms of tools and technologies, used by programmers worldwide. TIOBE is very accurate in pointing out the programming languages with the future while hinting directions in which it is worth developing your skills and what the business needs.

Top 5 programming languages in TIOBE index, July 2022. Source: www.tiobe.com

In its July 2022 ranking, TIOBE notes that Python, C, C++, and C# are currently the top contenders for the 2022 programming language of the year. The presence of Java¹, C, and C++ at the top has been consistent for more than two decades, while Python’s booming popularity has placed it at the top of the ranking for the first time in its history. The C# coding language’s popularity has had its ups and downs, but its presence in the Top 5 has been rather apparent in recent years.

So why is it worth knowing it and what sets C# apart from other languages? More about that shortly.

 

The business justification for programming languages’ popularity.

It should hardly come as a surprise that the contenders listed by TIOBE cover virtually the entire market of software services, with each of them holding a crucial place in different sectors. Choosing a programming language is often determined by the type and purpose of the software. The C language rules in the lowest layers of software and in embedded software. C++ spans a broad spectrum of applications, although it mainly focuses on backend and performance-driven solutions, taking into account stock exchange applications such as High-Frequency Trading (HFT) and Low-Latency Trading. Python, on the other hand, is an invaluable tool for quick solutions prototyping and building test frameworks. It is also widely used by those involved in machine learning C# in combination with the .NET framework, especially after the release of .Net Core, is one of the most heavily applied technologies in cloud solutions in the broad sense, in web, mobile, and desktop applications – and particularly on the Windows operating system. It performs well in conjunction with the emerging popularity of IoT. It is well worth mentioning that all major game engines are written in C++, with the Unity engine being partly written in C#. Games created for the Unity engine are written in C#, which has substantially contributed to the widespread use of this language². 

 

What is the simplest way to describe the C# language?

The idea behind the creation of C# was to create a high-level language similar in concept to Java, yet close in syntax to C++. C# was intended to simplify the C++ syntax and provide the tools available in modern programming languages, with a focus on reliability and ease of project development. The success of C# demonstrates this concept has been achieved at least partially.

“Hello world!” program in C#

C# is a statically-typed, high-level coding language. Just like Java, it is compiled into an intermediate language called CL (Common Language). In order to execute the code, a suitable infrastructure such as the .NET platform is needed, within which it is run in the CLR (Common Language Runtime), a virtual machine that operates on similar principles to the JVM (Java Virtual Machine).

Due to its strong association with the .NET platform, it is very common to say that one writes for the .NET platform³ instead of saying that one writes in C#. And that is because writing for the .NET platform entails leveraging the entire ecosystem it contains. This includes the aforementioned runtime environment, as well as a set of libraries.

 

So what to write web applications in? C# or .NET?

There are loads of different terms and details associated with .NET, and the process of compiling and running code on this platform itself is quite complex. However, it is not necessary to be familiar with them to get started working in it. However, it is worth noting one crucial point here: most projects are developed on either .NET Core or .NET Framework. The former is oriented towards performance and cross-platform and is mainly intended for web applications, microservices, and mobile devices apps. The .NET Framework is limited in its implementation to the MS Windows platform⁴ but instead allows for easy development of desktop applications and games. Both platforms can be used to write web applications with ASP.NET⁵, though they should be treated separately, as a code written for one cannot be run on the other. Their common part is called .NET Standard.

The .NET platform takes maximum advantage of the possibilities offered by running middleware code. Hence, we are brought with:

  • the ability to swap libraries on the fly, without having to shut down the running system,
  • a JIT (Just-In-Time Compiler) compiler that continuously analyzes the paths the code is most likely to go through and optimizes it on the fly,
  • extensive reflection, allowing full knowledge of class fields and methods, including those classes that have just been dynamically loaded from an external library,
  • memory management by means of Garbage Collection (GC) mechanisms and a high level of process isolation, which provides us with certain security guarantees.

 

The most popular uses of the .NET platform in the business

Graphical window editing, for instance in Visual Studio, significantly speeds up the process of building desktop applications on the .NET platform and makes it a popular choice when it comes to developing applications in the financial sector. It is also often used to build applications intended to serve as an interface for database management in companies. ASP.NET, on the other hand, is a convenient alternative to PHP or Node.js for creating web services. ASP.NET is appreciated for its reliability and scalability, hence why some of the largest web services, such as StackOverflow, are built with it. The ease with which projects can be hosted on cloud platforms relieves not only developers but also managers from dealing with the infrastructure in which the project is embedded.

Microsoft has made sure the .NET platform can be conveniently used in cloud solutions, especially Microsoft Azure. Azure comes with a number of tools to make it easier to create microservices and, what I reckon is far more important, to monitor their performance and look for errors, including monitoring database queries to help optimize them.

 

We specialize in creating custom software, primarily utilizing .NET, Java, and Python technologies. Contact us for a free consultation.

 

What typifies the C# language?

C# is an object-oriented language⁶. It has built-in mechanisms for asynchronous programming, represented by the async and await keywords, among others. These enable efficient programming using both Task-based Asynchronous Pattern (TAP) and Event-based Asynchronous Pattern (EAP) approaches.

One thing that sets C# apart from other programming languages is its built-in query creation mechanism, LINQ (Language Integrated Query). LINQ allows you to create queries that can be executed on both a database as well as a collection of objects. Either a Fluent Interface or SQL-style syntax can be used. The queries are optimized for the databases (or collections) used by the projects and allow for lazy evaluation. They can also be parallelized using PLINQ (Parallel LINQ).

C# escapes many of the problems observed in other languages. A tremendous advantage, which I personally like a lot, is the transparency of compilation errors. Intellisense, running for instance as a plug-in for Visual Studio Code, reports virtually every possible error. Having fixed all of them, I am almost 100 percent sure that the code will compile and run; something that is severely lacking when working with C++.

However, the use of a compilation mechanism to intermediate code and execute it with a runtime environment entails a markup in terms of reduced performance. An optimized program in C++ will execute faster than one written in C#, with an emphasis on the word ‘optimized’, as often hand-written solutions in C++ are more efficiently implemented in the libraries of the .NET platform.

 

The challenges of working with C# and .NET

Developing web and desktop applications with the .NET platform poses a challenge due to its level of complexity. Many concepts require learning the details of how this platform works in order to avoid typical errors that slow down program performance. Some of the basic mechanisms simply take some getting used to because, for instance, they work differently from what a programmer would expect.

For instance – structures and classes have a different purpose in C#, so they are handled in a slightly different way. Structures should be used to store Plain Old Data (POD) objects, so assigning or passing them as a function argument creates their copy. Classes are treated similarly to Java – they are passed by reference. This is a detail that is easy to grasp, but it can sometimes catch you by surprise. There are definitely far more exceptions of this kind in C#’s behaviour when compared to other coding languages.

An example of a typical problem in C# – the code above will output ’10, 20, 20,20′, which may baffle some programmers. ‘Test1’ is a structure, so a copy of it will be made on line 14, whereas ‘Test2’ is a class, so on line 23, a new reference to the same instance of the class will be made.
These differences are easy to catch when you can see the definition of ‘Test1’ and ‘Test2’, but in a complex project, when collections of various types are involved, it is harder to keep track of the object types being manipulated and it becomes easier to make mistakes.

It is also worth bearing in mind that, as in Java, projects written in .NET tend to have many layers of abstraction and can be very complex, which is avoided for performance reasons in projects written in C or C++⁷. The threshold for entry into an existing project is quite high and requires heaps of domain knowledge before one can work effectively in it.

 

To be continued

We have started off from the end, but we will go through the profiles of all the contenders. Will determine our winner too? Stay tuned. In the meantime, we are leaving you with a brief summary of the contenders’ basic features to illustrate the biggest differences between them.

CC++PythonC#
Abstract levelLowHighHighHigh
Language typeCompiledCompiledInterpretedManaged
The main programming paradigmProceduralObject-orientedProcedural, functional, object-oriented (and others)Object-oriented
TypingStaticsStaticDynamicStatic
ReflectionNoneVery limitedFullFull
Memory managementNoneNoneGCGC
Except handlingNoneYes (can be turned off)YesYes
Multi-threaded programming supportNoneTAP, EAP, otherTAP, EAP, otherTAP, EAP, other
The most popular package managerNoneConanpipNuGet
The most popular project-building toolmake, CMakeCMake(Not required)dotnet, mono
Difficulty in learning a languageEasyHardVery easyMedium
Work in complex projectsVery hardHardMediumMedium
Error findingExtremely hardHardHardMedium

A summary of the key differences between the C, C++, Python, and C# languages. The last two items strongly depend on the way the project is organized. We may always end up with one where the difficulty levels are reversed.


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¹ – Java is not covered in this article not only because it has not been recognised by TIOBE as a contender for the language of the year 2022. The article describes practical aspects of programming languages based on my experience, and since I have not written even a single line of code in Java for more than 15 years, I do not feel competent to write about this language.
² – In the past, C was used for simpler game engines, but due to the complexity of modern engines, this is not practiced today. It is possible to write games in Python, but due to the low performance of this engine, these are mainly hardware-undemanding 2D productions. A good example is a RenPy engine, which is a popular Visual Novel game development engine.
³ – This differentiation is relevant because more than twenty languages can currently be written for the .NET platform. However, the most popular two are actually C# and Visual Basic .NET (shortened to VB.NET), which ranks sixth in the TIOBE index, just after C#.
⁴ – The .NET Framework itself was written to be implemented on any platform, but is only fully implemented on the MS Windows platform. The .NET Core code is Open Source, while only certain modules of the .NET Framework code are available as Open Source.
⁵ – Until recently, the ASP.NET web application framework was only available for the .NET Framework. Currently, there is also an ASP.NET Core version.
⁶ – The .NET platform allows functional programming, e.g. using F#, but the vast majority of supported languages are nevertheless object-oriented languages.
⁷ – Projects written in C++ can still have many abstraction layers, but a lot of solutions are built on templates. Templates increase the amount of code, which slows down code execution at a very low layer (related to code locality and instruction memory management), but this slowdown is significantly lower than the use of virtual functions and interfaces, which require effort during program runtime.

 

Written by: Tomasz Przedziński,
Software Architect

Born in ‘86, graduated with a master’s degree in Applied Computer Science from Jagiellonian University in Krakow. He received his Ph.D. in Software Engineering from the AGH University of Science and Technology. He specializes in C++ but has developed a strong liking for embedded environments. His fondness for algorithmics and solution optimization is no secret. Quality, building advanced test environments, or extending existing ones in his professional work are his main focuses.

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