Special kinds of languages are used for computer communication, and these are called programming languages. It goes without saying that we cannot converse with a computer in the same manner that we do with other people because it is a machine. Programmers created a variety of languages as a result, enabling human communication with computers.
Using a “Compiler,” we transfer orders and instructions written in any specific programming language to the computer. The “Interpreter” then converts the data to a language that the computer can really understand—that is, merely binary numbers, 0 and 1.
Moreover, programming languages are the means by which all of those interactive games, apps, and websites are made possible. Programming languages are necessary for whatever you wish to tell a computer to do, from using a basic calculator to sending someone to Mars.
Two categories of programming languages exist:
Low-level languages – Machine-dependent (0s and 1s) Programming Language
High-Level Languages – Easy to read, write, and maintain language
These High-level languages are currently used to write most of the interactive software applications and webpages that you see online. However, these are all now outdated and have restricted functionality.
This raises the worry that as new functions and modes of thought emerge, well designed languages will eventually become non-ideal and outdated. Because our minds change as technology does, programming languages must also change with the times.
When it comes to programming language skills, more isn’t always better. When the same method may be presented in multiple ways, it might be confusing.
Here is a list of the most recent programming languages, which are genuinely more user-friendly and able to handle the current technological developments.
Robert Griesemer, Rob Pike, and Ken Thompson created GoLang when they were at Google in 2007 and made it available as an open-source programming language in 2009.
Go is a great low-level language that shares many characteristics with C and C++. However, it is much simpler to learn than those other languages because it does not have as complex a grammar.
When it comes to developing web servers, data pipelines, and even machine-learning applications, it is the ideal language. Nevertheless, there are a few drawbacks: It is not possible to combine signed and unsigned numbers with integer sizes.
Generics and inheritance are absent. Additionally, you need substitute curly brackets for parentheses.
It is one of the best-designed programming languages available. And the reason for that is because JetBrains, who need no introduction given their expertise in providing tools for writing clear, concise, and elegant code, designed it.
Kotlin is capable of developing desktop applications, web applications, and Android applications. One way to think of Kotlin is as a lighter, faster, and more sophisticated version of Java.
Prior to Kotlin’s debut, Android developers could only work with Java; however, the Android developer site states that Kotlin is now the preferred language for this purpose due to its compatibility with Java, less code duplication, and reduced null pointer errors.
The best thing about this language—and this is a secret—was that it was continuously improved during its six years in beta testing. During that time, a number of significant features were added, but they were later removed from the first final version of this language since the parent business discovered during the beta phase that they were more detrimental than beneficial.
The most varied iteration of Python since Python 2 is Python 3. When it was first released in 2008, the language had undergone significant change because many Python 2 programmes could not be converted to run on Python 3 without significant changes.
In 2020, Python 2 was shelved with version 2.7.18. What then is the significance of switching? Python 3 has more readable code and better type safety. The distinctions between plain text, Unicode, and binary code are simple to comprehend. Another amusing fact: Python 3 had a significant redesign, with the output syntax being changed from print in Python 2 to print().
Modern methods including data science, machine learning, artificial intelligence, and data mining are supported by Python 3. Since Python 3 has a sizable and active development community, getting help is simple in the event of trouble.
The Python language is simpler to learn than it was in earlier iterations. It also provides an extensive library and strong tool sets.
To avoid problems at runtime, the Typescript compiler looks for type inconsistencies and filters out compile-time errors. In addition, it is easily comprehensible and organised. The application procedure is accelerated by its extensive toolkit. By providing the ability to specify an object’s geometry, type inference enables TypeScript to verify that your code is functioning correctly and provides improved documentation.
Since type inference allows you to gain a great deal of power without writing more code, TypeScript does not require types to be created.
In 2012, ELM was created as a Harvard undergraduate thesis. Presently, this language is highly favoured by front-end developers worldwide. It is a functional programming language used to create web browser-based graphical user interfaces and web applications.
This language prioritises durability, efficiency, and usability. It makes it easier for developers to construct frameworks without having to worry about HTML and CSS declarative elements.
Other benefits of ELM include the Type system, which keeps inaccurate or invalid data from being expressed. As a result, developers don’t have to worry as much about whether their code will cover all edge circumstances.
Developers also know ELM for not having any runtime exceptions. Programmers have to instruct the software on what to do if the data they defined is missing or incorrect. The compiler can help developers find and fix faulty code if something is missing or broken.
ELM is a superb programming language that comes with an amazing ecosystem. If you need to use an external package, you can find everything you need in one place (library).
MIT developed Julia, which was introduced in 2012. It is a high-level programming language that combines numerical precision, a robust compiler, a sizable mathematical library, and parallel distributed execution.
Its main goal is to get over the restrictions that Python and other similar data processing languages have. Although Julia is a general-purpose programming language, its high precision and mathematical applications make it ideal for use in computational science and numerical analysis. Its syntax is as quick and easy for beginners to learn as Python’s.
We must innovate more since the world is changing and evolving all around us and technological developments are giving us hope for a better future every minute. To do this, we must push the boundaries of what we think is possible. There will always be a need for new programming languages to expand our expressiveness and help us get past the shortcomings of their predecessors. The programming industry changes at the same rate as programming languages.