Haskell - why you should learn it and why you should not

Haskell is a functional programming language, and it is structured very differently from the popular JavaScript, PHP, Python, or Java - they are imperative or mixed development languages. 

Many Haskell enthusiasts believe that developers should at least try to learn pure functional programming to understand the principles and the difference between functional and imperative development.

Now, let's find out the advantages and disadvantages of Haskell.

Advantages

An important feature of Haskell is that it supports lazy computation, which can speed up the program, reduce the memory load, and make the code more modular. Lazy computations are performed when the program needs them, not when the developer specifies.

Usually, vigorous function arguments are executed before the function. In programming languages that use lazy computation, this process is delayed, and function arguments are computed only for real needs, not at the point where the developer wants. For example, if the value of some function is now not needed and not used, Haskell will not compute its results.

Nowadays, Haskell is used in a few basic ways. First, in the financial sector, large banks and other companies use it to develop their tools. Businesses specifically use Haskell because of the guaranteed accuracy of calculations without errors.

Second, Haskell is used to writing tools for word processing, parsing, and creating filter systems for handling spam. Haskell's structure makes it easy to put the rules of the language into it and train algorithms to find connections.

Developers also use Haskell to create tools for testing code in other programming languages. Here they use almost the same algorithm as for word processing.

That said, Haskell is additionally used for web development. It can be compiled to run in a browser and on a server as fast machine code that can easily handle tens of thousands of simultaneous connections.

Disadvantages

There are a few disadvantages of Haskell that we should mention. 

The complexity of top-level concepts and the poor handling of records are most often pointed out by those who do not like Haskell. There are also problems with the ecosystem that is perhaps more significant. 

The development of the compiler, GHC, sometimes with a loss of backward compatibility. Library documentation is often poor.

Libraries cover the most typical tasks, but in non-standard situations when you need FP language, you will have to find a solution yourself, not just copy and paste it as in OOP. Big application development practices and approaches have just been established and actively developed by the FP community, but there is still a long way to go.

Cross-platform is another problem. Haskell works great on Linux and macOS, but there are some problems with Windows. It never was a priority for GHC developers; many languages already covered this point, and there's no reason to add Haskell. 

There are very few IDEs for Haskell. There have been various attempts to create them, and there are some solutions out there, but this field is still growing. 

Also, there aren't many jobs for Haskell developers right now. The market share of this language is relatively small. And although it is growing, and new companies are appearing, it is still two or three times smaller than the most popular languages. But it should be said that there is some excess demand over supply. More Haskell developers are needed than there are, especially those who know how to solve business problems. Haskell may not be an excellent place to start your career, but if you've found your feet in its ecosystems, you will not have a problem finding a job.

Most importantly, to learn how to program in Haskell, you must have a good mathematical basis. If you have that, you will quickly find out that the language actually has a simple syntax, strong functionality, and a wide implementation range. Many experts, including O'Reilly, claim that functional languages such as Haskel are the future of software development. 

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