Which programming language should I choose? Which one will help me most professionally? Which one is suitable for the projects I want to take on?

Today we will answer the above questions by analyzing the best programming languages in particular:

•  Python
•  JavaScript
•  Java
•  C++
•  C#
•  PHP
•  Ruby
•  SQL
•  Swift
•  R
•  Julia
•  Rust

Let's get started!

 

 Programming Language #1: Python

Why is Python the programming language most people want to learn?

The main reason is its flexibility.

Python is a general-purpose programming language. This means that it can be used to build websites, build software, analyze data, and more.

In short, it's not just made to solve a specific problem.

This feature, along with its friendliness to novice programmers, puts it at number one among programming languages, which makes learning it a particularly difficult skill.

Its importance grows even more if we bring it into our era, where data analysis, is the main source of a company's growth. 

So many data analysis processes are done with Python, making it the second most popular programming language in the field of cloud computing, machine learning and big data.

Python is much closer to your everyday life than you think. Instagram, Spotify and Dropbox, applications we use every day, are built with Python!

 

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Which programming language is in the second place of "most favourite"?

 Programming Language #2: JavaScript

JavaScript is a programming language with elements of scripting, functional and object-oriented programming, used in web pages.

Specifically, it provides interactive elements to a website, unlike other programming languages such as HTML and CSS that deal with the structure of a web page.

The four most typical uses are adding interaction to a website, creating web and mobile apps, building servers and game development.

Like Python, JavaScript is a programming language suitable for beginners, which enables them to use the knowledge that JavaScript will give them in other programming languages. 

Some examples of applications created with JavaScript are Netflix, Candy Crush and LinkedIn.

 

 Programming Language #3: Java

The biggest advantage of Java, and what sets it apart from the rest, is its ability to run anywhere with very little to no code changes.

It can be used in many areas, such as building Android applications, e-commerce, gaming, etc.

Some examples where Java has been used are Minecraft and Twitter.

 

 Programming Language #4: C++.

C++ is a programming language that developers use mainly in the application domain.

In particular, it is used in applications that include the graphical user interface such as Photoshop and Adobe Premiere.

It is used in applications, in animation, in creating web browsers, in creating media management applications such as video and various other things.

 

 Programming Language #5: C#

C# (C-Sharp) is a general-purpose, high-level programming language developed by Microsoft and running on the .NET Framework.

It is an object-oriented programming language used to develop web applications, desktop applications, mobile apps, games and more.

 

 Programming Language #6: PHP

PHP is a programming language that has been around for more than 25 years. However, a lot of discussions are happening around the fact that it has declined in popularity as a programming language.

Of course, despite the "rumours" PHP is a language that still supports platforms like Facebook and WordPress.

As with some of the above programming languages, the main reason to choose it is the ease of learning. 

Other advantages are the fact that it is an open-source programming language (so it is free), has built a strong support community behind it and has been used many, many times, so it is proven to work.

 Programming Language #7: Ruby

One of the main advantages of the Ruby programming language is that even a beginner can understand it, as it's pretty close to how we as humans express ourselves in English

The cases where the use of Ruby is appropriate are basically e-commerce, information portals, dating platforms, social media, etc.

 

 Programming language #8: SQL

SQL is basically the programming language of data analysts and data scientists, as it is through it that they derive and organize their data.

It is quite important in the field of data analysis, as while it is possible to analyze your data with another programming language, it can only be collected with SQL.

 

 Programming Language #9: Swift

Swift is a programming language developed by Apple. Since its release in 2014, it has grown rapidly.

It is a successor to Objective-C but is much simpler to use than its predecessor.

Its main uses involve developing applications for Apple platforms, including iPhone, iPad and Mac applications.

 

 Programming Language #10: R

R is an open-source programming language that specializes in statistical analysis and data visualization.

The R environment offers a wide range of techniques applicable to statistics and graphics, such as clustering and non-linear modelling.

It is particularly popular among data scientists and data analysts who work with big data and complex databases.

 

 Programming Language #11: Julia

Julia is a dynamic and fast high-level programming language, which first appeared in 2012.

Its potential is diverse and it is ideal for the field of computational science.

It is a general-purpose language, useful in disciplines such as machine learning, statistics and web development.

 Programming Language #12: Rust

Rust is a static, general-purpose programming language with a strong focus on performance, code safety, and memory management.

It has the ability to perform multiple calculations in parallel and since its introduction in 2015, it has shown significant growth.

It is prevalent in systems programming.

 

In a few words

As we have seen there are many programming languages to choose from, with some being more flexible and some more specialized.

Clearly, flexibility is the name of the game for a professional.

So learning a programming language like Python gives a huge advantage.

So, if you want to learn all about Python and specialize in it, you can join the Python for Data Science Course!