Angular, Java, React, Node.js, .NET, Ruby on Rails, JavaScript, GraphQL, Python, AWS, Go, Google Cloud, Revit, AutoCAD, Web 3.0 etc. Which one do you actually need? What should be the programming language for your next project? What should stand for the Design? What should your Architecture be based on? Which one is Better? And, most important, Why?
Now let us try to give short and quick answers below.
Programming Languages are classified into the following types:
- Procedural Programming Language
- Functional Programming Language
- Scripting Programming Language
- Logic Programming Language
- Object-Oriented Programming Language
Believe it or not, there are close to 9000 different programming languages and programming itself goes back in history much more than you expect.
What are the most popular programming languages?
It is easier said than done to determine and figure out the languages which are used more than others as a lot depends on the specific project type and requirements. In any case we will try. Currently the following languages are considered popular:
- Python
- PHP
- C#
- Visual Basic
- C++
- Java
- SQL
- C
- R
Since HTML and CSS are mostly used for the structuring and webpages styling, we can omit them from this list, although they are highly popular too.
These languages are used in the following cases:
C
Widely used for creating system applications and other types of apps which use lots of calculations.
Python
Mostly used in web applications, Artificial Intelligence and machine learning.
Java
Widely used in software applications, games development. It is a native language for Android OS.
Javascript
Used to write code which runs in web browsers. Used to make webpages more responsive and interactive, including animations and video players.
PHP
Mostly used for websites and content development. Also can be used in managing dynamic content and databases on a website. Easy integrated with MySQL.
SQL
This language is designed to create and communicate with databases. Widely used by database administrators and developers. Recently used in big data and analytics
R
Used to develop and implement wide ranges of statistical software. Used by data scientists for data analysis and statistical insights.
Conclusion.
Of course there are a lot more languages to use. Experienced Fintech Presale Team including Lead Business Analysts and experienced programmers will carefully evaluate your project and give the best options to choose from.