Which programming language is the easiest to learn? And which language do you think is the most difficult? Asking a programmer what the simplest programming language to learn is like asking someone what their favorite color is.
Everyone has their own opinion, and there is no single correct response. “Programming languages are built by programmers, for programmers,” said developer and educator Marek Zaluski.
As if it were a well-guarded secret known only to a few. This can be scary for students who are just starting out.
There are many factors that make a language easy to learn. Other than code readability, one of the major reasons is the number of resources a student can find online while starting out or a programmer who is stuck.
Python, in that manner, is easiest for students to learn because python help online is easily available. For both students looking for homework help or looking for help in their programming endeavor in the form of a tutor.
However, it’s impossible to excel as a software engineer if you don’t know how to use the most common programming languages. If you want to fall into the category of people, aka programmers with a median salary of $97,000, it is important for you to acquire as much skill as you can.
Here, we’ll compare and contrast high-level languages with some of the simpler ones. Simultaneously, we’ll determine which languages are in demand while also identifying emerging languages and open-source alternatives.
What is the best language to learn first if you want to become a programmer? Find out which languages are the simplest and the most difficult to learn below.
Easiest to learn languages –
Programmers typically start their careers with C before moving on to more advanced languages. C has been used to create some of the world’s most popular software, including Unix, Windows, Tic Tac Toe, and Photoshop. After so many years of being released, according to Github, it still ranks as the 10th most used language among programmers.
- As a result of these factors, learning it is quick and painless:
- Only 32 keywords in a basic syntax.
- Information architectures are intuitive.
Python is an advanced, general-purpose programming language that came about as an improvement over ABC. Web programmers, data scientists, machine learning/artificial intelligence experts, and embedded application programmers all love Python. This is the reason why 15.7 million programmers use it.
It’s simple to pick up because:
- The language places a premium on code readability and makes liberal use of English terminology.
- Its use of white space is legendary, making it much more approachable.
- It is equipped with a wide range of libraries for use in different contexts.
- Because of the large number of developers who work with it, your questions are almost certainly already answered.
Java is an object-oriented, general-purpose programming language that makes use of classes. It’s built to be platform-independent, so you can “write once, run anywhere” (WORA). It is widely used in security applications and by back-end developers.
As a result of these factors, learning it is quick and painless:
- The easy-to-understand syntax is both brief and comprehensive
- Since it is so regimented, there is minimal wiggle area for error.
- It’s a cinch if you know anything about object-oriented programming.
Now let’s talk about difficult-to-learn software languages –
As we’ve said before, C is a simple language to learn, and C++, an extension of C, is a general-purpose programming language. C++ is rumored to be used in the development of the Chromium browser for Google, a number of Microsoft programs, and even financial modeling at Morgan Stanley.
Learning it is challenging because
- The syntax is intricate in order to accommodate a wide range of semantic meanings.
- Everything that is technically conceivable, even if not logically correct, can be done in this language.
Experience is helpful but not required. Prolog is one of the earliest logic programming languages. It is finding new life in NLP and other AI-related fields. Being an unusual language with data structures that differ from those of more common programming languages makes it challenging to master.
- A compiler of excessively high quality is required.
- It makes the developer deliberate through the rationale up front.
- You need to give some consideration to how to use online tools and Prolog code to meet your requirements.
It is still utilized in advanced systems and AI research despite being the second-oldest programming language behind FORTRAN.
It’s complicated to pick up because it’s a specialized language with lots of niche uses. It may take some time to get used to LISP’s syntax because of its heavy reliance on parenthesis.
Consider the language’s practicality as a starting point for learning it. HTML is a great foundational skill for anyone interested in a career in software, web, mobile app, or even game development. Python is a popular choice for data science and big data applications. However, languages like C, Java, and Python, which now enjoy the most popularity, are not too difficult to pick up.