Five reasons why Scala is better than Java!
Java has not been challenged for many years in the program’s dominance.
As a mainstream programming language, Java is at the forefront of the list, in all areas of popularity, career choices, and industry trends. Even with Python as the king of machine learning, Java’s popularity is second and third, and only R can be compared. Java can be so successful, it’s inseparable from its flexibility and versatility, and its ability to handle complex tasks. But is there a better choice than Java?
As far as programmers concerned, in the eyes of senior programmers, only Scala can replace Java and can do better than it. This article is not a touting of Scala for no reason, but based on:
Everyone knows that Scala has a good reputation in the industry;
As a rising star, it solves many of the problems that are common to Java;
On the other hand, Scala’s performance is more powerful than Java;
In the last period of the inventory, we also found that in the field of machine learning, Scala’s recruitment needs in the United States after 2014 have been the fastest growing machine learning development language (see Python, R, Java, C++, etc.: from industry feedback) Machine learning language trends ).
However, as an emerging language, there is less domestic understanding of Scala. Let’s take a look at the five reasons why Scala is better than Java:
1. Get to market faster:
If you are an amateur developer, there is no project market, cost considerations, and you may not be caught up in the advantages of this Scala. However, for all developers who receive wages, they must put the products on the market within the specified time. This is an uncontroversial area where Scala is better than Java. For Scala, the OO (Object Oriented) pattern does not exist when executing code. In addition to this mode, functional programming can also be added to the algorithm. This allows the two worlds – the advantages of object-oriented and functional languages - to be combined. The result is an extraordinary expressive detail and concise code – often only a few lines. Fewer lines of code increase speed in all aspects, whether it’s testing or development.
2. Avoid deadlocks (deadlock):
As a code farmer, you may often encounter deadlocks in programming. The most terrible null pointer exception and other variants are good examples.
Can Scala provide a straightforward solution? No. But it provides some very effective options to avoid deadlocks in advance. When you start writing code with Scala, you will notice that the number of null pointer exceptions is significantly lower than Java.
3. Better write code output:
First, functional programming can help your app improve stability and take away many unintended by-products. As you move from mutable data structures to so-called functional patterns, you’ll be assured of greater security and stability.
Second, the code without punctuation will become stronger. Scala’s code supports mixing capabilities and multiple inheritances that will help you identify vulnerabilities and bugs in your code. Cleaner, more powerful code helps developers improve the security and performance of their end applications.
4. Third Party API Reserve:
All developers need to add functionality to the app. Today, there are two ways to do this: start from scratch, or write from a third-party application. Now programmers need to go through this critical intersection – decide whether to develop the entire function, or directly use a plug-in.
But there is still a third way: Scala provides a more powerful solution: it comes with a variety of valuable built-in features. Because of this, you have much better control over your application. Scala’s simple, straightforward code also speeds up loading.
5. Asynchronous processing:
Unlike Java, Scala is designed to deliver asynchronous behavior. The lack of future readiness in Java has led to a series of compromises that limit application functionality. But like other web development frameworks, asynchronous behavior in Scala provides very comfortable, natural code.