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THESE MODERN PROGRAMMING LANGUAGES WILL MAKE YOU SUFFER

Author : julio
Publish Date : 2020-12-08



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Welcome to the ultimate rating of modern programming languages.

What are the pros and cons of a particular programming language? Is X a good
language for my task? Googling for “best programming language” will give you a
standard list of “Python, Java, JavaScript, C#, C++, PHP” with a vague list of
pros and cons. Seeing such articles makes me cringe in pain, their authors must
have been outright lazy, inexperienced, while lacking any imagination. Let’s
dive deep and find out what really sucks, and what doesn’t.

In this article, I’ll attempt to give an objective and hopefully unbiased
overview of popular (and not so popular) modern programming languages, ranked
from the worst to the best.



Bear in mind that there’s no one programming language perfectly suited to all
possible use cases. Some languages are best suited for Frontend Development,
others work best for Backend/API Development, others are great for System
Programming.

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I’m going to cover two of the most common language families in the
world — languages descended from C, and languages descended from ML.

Programming languages are just tools in a developer’s toolbox. And it is
important to choose the right tool for the job. I really hope that this guide
will help you in choosing the most suitable programming language for your task.
Making the right choice might save you months (or even years) of development
effort.

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WHAT LANGUAGE CHARACTERISTICS REALLY MATTER?


 

Most other similar articles base their comparisons on factors like popularity
and earning potential. Popularity is rarely a good measure, especially in the
world of software (although a big community & ecosystem helps). Instead I’ll be
taking into account the strengths and weaknesses of a particular language.

I’ll be using a thumbs-up ? (i.e. +1 ), a thumbs-down ?, or an ok ? (neither
good nor bad) emojis to signify the score of a particular language
characteristic.



Now, how will we measure? In other words, what really matters, other than
language popularity?



Many people swear by type systems. That’s why languages like TypeScript have
picked up in popularity in recent years. I tend to agree, type systems eliminate
a large number of errors in programs, and make refactoring easier. However,
“having” a type system is only one part of the story.

If a language has a type system, then it is also very useful to have type
inference. The best type systems are able to infer most of the types, without
annotating function signatures explicitly. Unfortunately, most of the
programming languages only provide rudimentary type inference.

It is also nice for a type system to support Algebraic Data Types (more on this
later).



The most powerful type systems support Higher-Kinded Types, which are one level
of abstraction above generics, and allow us to program at an even higher level
of abstraction.

We also have to keep in mind that people tend to put too much importance on type
systems. There are things that matter far more than static typing, and
presence/lack of a type system shouldn’t be the only factor when choosing a
language.

We might have the perfect programming language, but what use is it if onboarding
new developers might take months or even years (upfront investment)? On the
other side of the spectrum, some programming paradigms take years to become good
at.

A good language should be approachable by beginners, and shouldn’t take years to
master.

> I call it my billion-dollar mistake. It was the invention of the null
> reference in 1965. At that time, I was designing the first comprehensive type
> system for references in an object oriented language. My goal was to ensure
> that all use of references should be absolutely safe, with checking performed
> automatically by the compiler. But I couldn’t resist the temptation to put



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Author Website : These Modern Programming Languages Will Make You Suffer

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