Top 5 Difficult and Easiest Programming Languages of 2023

Top 5 Difficult and Easiest Programming Languages of 2023

Every newbie in the humongous world of technology is likely to get by the wonders of this ever-evolving industry. One of the first thoughts while entering the technical field of coding would be to identify what programming languages need to be learned to get things done.

This might be overwhelming at first, but in this time of high competition, determining these universal programming languages can actually change the game for you.

Different languages are utilized to power today’s technologies, such as software, websites, apps, machine learning (ML) procedures, artificial intelligence (AI) applications, natural language processing (NLP) conversational systems, and much more.

So, to help you make a better decision, here is a list of the top 5 easiest and the hardest programming languages in 2023.

Statistics and Overview

Being a complete beginner might leave you in the chaos of what programming language you should start your learning process with. Here is some help for you to make the right decision according to your desired field and follow the path to becoming a master programmer:

Here is also statistics according to the popularity of the programming languages that are used in the industry:

Here is a basic overview for better help:

Things to Consider in Learning a Programming Language

Before studying any programming language, keep in mind that learning anything new is a gradual process and takes time and effort.

This is why the ultimate decision must be made with the language’s utility in mind. Using query language and serial statements to make logical judgments is comparable to computer programming languages, which is a plus. Here are some of the major factors best computer programmers consider at the time of learning a new programming language:

  • Complexity of the application
  • Elasticity of a language
  • Time to production
  • Scalability and performance
  • Security and privacy

Easy Programming Languages

From top to bottom, we have listed the hardest to easiest programming languages. Below we have considered the top 5 easiest languages – so let’s dive through them:


HTML is an abbreviation for Hypertext Markup Language. There has been much debate over HTML language being a complete programming language because it is officially a Markup Language rather than a functionality-based language.

Unlike all other programming languages, this means that HTML cannot generate functions or execute conventional programming tasks because it does not provide iterative, conditional expressions or even simple mathematical operations.

HTML, on the other hand, is a primary language for structuring web pages and content. It employs many tags and labels to identify web page content, and particular tags aid in making web pages accessible and SEO optimized.

Despite its importance in the web development business, HTML is an easy language to learn. It is suggested that new learners start with HTML before moving on to other programming languages and developing their abilities.

Applications Of HTML

  • Easy to understand
  • Generate web pages
  • Simple core actions implementation
  • Define the appearance and structures of web elements

2. JavaScript

JavaScript is a scripting programming language. It was used in conjunction with HTML and CSS to provide website functionality and make UI & UX more attractive. Making the web pages interactive does this. Clients will see a change in each element when he hovers, taps, scrolls, or types.

Color, typeface, shadow effect, or putting out some logical tasks with predefined inputs are examples of interactive features. Because JavaScript is widely used to change HTML components or provide UI functionality, this does not mean that these are its sole capabilities.

JavaScript is capable of more robust processes such as data processing, search algorithm development, and solving complicated mathematical problems. JavaScript is more than just a programming language for the client.

Project environments such as Node.js enable JavaScript developers to do server-side work. JavaScript may be used both inside and outside of a web browser. This allows web applications to be launched from the browser to the servers using a simple programming language.

Applications Of Javascript

  • Less effort with greater results
  • Easily build client and server side of the website
  • Interactive and engaging development
  • Compilation with other browsers

3. Python

Python is an open object-oriented programming language owing to its simple coding structure. The primary goal of introducing Python has been to make it more legible via the use of outlining and less complicated by removing needless parenthesis.

Python supports many programming paradigms, including object-oriented programming (OOP) and functional programming (FP).

It has several instructions that are based on English terms. Do people often ask how to learn two programming languages at the same time? Well, that isn’t tough if you know where your focus lies.

Applications Of Python

  • Development through Flask and Django
  • Syntax of English words
  • Data science and analytics uses
  • Readymade functions and libraries

4. Java

It has become a popular, powerful, diversified, and simple-to-learn programming language. It is developers’ first exposure to Object-Oriented design concepts. Java Boot camps are among the many online tools available to assist a beginner-level developer in learning the language.

Python is a well-known general-purpose programming language. Although it is an ancient language, it is still relevant and popular today, thanks to its frequent updates. This is versatile enough to be used on any electronic device besides computers and mobile phones.

The Java-based programs are resilient. And a program written for one platform is assured to function smoothly on another with almost the same efficiency. Is Javascript hard to learn? Find out below.

Applications Of Java

  • Smooth object-oriented programming
  • Impressive big data applications
  • Concise coding benefits
  • Build software for desktop

5. Ruby

Ruby is a language of programming that focuses on usability and productivity. Folks like it because it is easy to learn and use and is comparable to the amazing Python. Unlike many other programming languages, it is used for a wide range of programming paradigms.

This involves functional structures, including object-oriented, & procedural programming. Compared to Python, which provides a clear, no-brainer solution to problems, Ruby allows for various ways that provide equal outcomes.

The Ruby on Rails framework makes it easier to use Ruby to build and deliver web apps to consumers. Ruby’s large and inviting community is one of the reasons it made the list of the simplest programming languages.

Applications Of Ruby

  • Help build servers
  • Minimum code commands
  • Open-source and free programming language
  • Good for web crawling and scraping

Most Difficult Programming Languages

Have you ever wondered how hard it is to learn to code? Well, underneath are the difficult languages with the most complex code ever – let’s dive through the list of programming languages ranked by difficulty:

1. C++

Is the C language difficult to learn? Yes, it is. C++ is regarded as the most effective, quickest, and most difficult programming language. It may be used for a multitude of applications while still executing the same practical and accurate programs.

C++ allows programmers to work on a variety of programming techniques quickly. It provides beginning programmers with a thorough grasp of how systems respond to programming language commands. C++ is popular among developers because of its flexibility and resilience.

C++ is used by programmers when it is necessary to design systems that are trustworthy, efficient, and high-performing. But it doesn’t belong to the worst programming language group.

Applications Of C++

  • Create operating systems
  • Complex and specific coding syntax
  • Difficult to manage and track memory
  • Build and elaborate data management software

2. Haskell

The language is named for a mathematician and is widely regarded as one of the most difficult programming languages to master. It’s a fully functional language based on lambda calculus.

Haskell allows for fewer code lines with maximum reusability, improving code comprehension. Although it is easy to spot faults in Haskell, fixing them is time-consuming.

Applications Of Haskell

  • Difficult to find and correct bugs
  • Research and academic uses
  • Focused on clear and mapped thinking
  • Best of data processing


This term stands for Category Programming, which was created in 1959. It was initially intended to manipulate data strings effortlessly, and it is now utilized for most logical AI applications.
Despite being among the old programming languages, LISP has retained its allure and is currently used by many coders focusing on high AI applications. According to studies, when a comparable code is written in C, C++, and LISP, the LISP programs are comparatively smaller and run faster.

Applications Of LISP

  • Split language with URL solutions
  • Communicate information through algebraic or symbolic operations
  • Functional programming language
  • Algorithmic and logical coding

4. Prolog

Prolog AI applications, Computer Linguistics, or NLPs, are where Prolog is most used. ELIZA is the first computer language where an automated customer support bot was created.

Prolog is a big go-go for academia and industry by AI and NLP people. However, to utilize Prolog correctly, the developer must be an expert in both language and data science, as well as well-educated on the desired output of the program, i.e., Predicate.

Because Prolog code cannot be readily copied and pasted, it is quite likely that the developer may encounter compilation issues if they are unfamiliar with the language before.

This increases the requirement for an instructor or expert to be always there to help learn a language and advise when an error happens.

Applications Of Prolog

  • Build AI software/applications
  • Uncommon data structures
  • Low-maintenance and cost-effective programs
  • Inconsistent inputs and outputs

5. Malbolge

Malbolge is by far the most difficult programming language to learn, as evidenced by the fact that it took no less than two years to complete the first Malbolge code. The readability of the code is incredibly low.

Malbolge is unpopular in the software business since it is almost worthless. It can only be utilized and learned as a challenge and has no real-world use.

The use of esoteric notation throughout the code syntax and the self-modifying nature, which does not provide the desired outcomes, renders the code unusable.

Applications Of Malbolge

  • Hardest programming language
  • Scanty learning resources
  • Difficult to understand the syntax

The Final Outcome

Finally, the internet & social groups have provided access to a wide range of resources for learning whatever language we choose, including several world’s most difficult programming languages. However, one thing you need to remember is that the popularity of any programming language does not guarantee a reward. If you want to master this skill, the best way is, to begin with its utility. For instance, HTML is a fantastic place to start if you want to work in software development, mobile app development, web development, or game creation. Similarly, Python might turn out to be your best choice for big data and data research. Fortunately, the most common languages, C, Java, and Python, are also quite simple to master.

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Frequently Asked Questions

While it is true that a common stigma of being difficult to learn is mostly attached to programming languages, it is uncertain to say what might be the actual challenge to learn it. Over time, with persistence, practice, and patience, you can simply learn any programming language.

The following are the main factors you can keep in mind to achieve your goal:

  • Begin with practicing sample code
  • Checkout online helpful resources
  • Focus on learning the basics first
  • Take one step at a time

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