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Python vs. Scala: Which is Better for Data Analytics?

Posted on October 10, 2019October 10, 2019 by Dexlab

Python vs. Scala: Which is Better for Data Analytics?

Data Science and Analytics seem to be synonymous to progress as far as the field of computer science is concerned. Now, with the rise of these technologies, everything goes down to the programming languages, which single-handedly help in the growth of them.

This gave rise to Python, now known as the most significant language in the world of technology. Scala is another versatile language which is not unknown to the researchers and tech geeks. These two languages are the most talked about in the industry today. Nevertheless, both of them are extensively used in data analytics and data science. However, the debate regarding which one to opt for among the two has always been constant. But worry no longer because here we will discuss both of them, in brief, to help you with your choice!

Python

Python is really one of the most popular languages in the industry. The open-source nature of the language makes it a popular choice for scripting and automation works.

Besides, Python is powerful, effective, and easy to learn. Moreover, Neural Network Machine learning Python boasts of its efficient high-level data structures and for object-oriented programming.

Advantages

Easy to learn and effective too.
Exhaustive support from active communities.
Python enjoys built-in support for the datatypes.

Disadvantages

Your computer might slow down a little when you are running Python. This is in contrast to when you are running other languages like C or Java.

Scala

If you want an object-oriented, functional programming language, then Scala would certainly be your first choice. It was basically built for the Java Virtual Machine (JVM) and remains the most compatible programming language with Java code till date.

Advantages

Scala can utilise the majority of the JVM libraries, thus helping them to be embedded in the enterprise code.
It shares an array of readable syntax features of the popular languages, like Ruby.
Scala brags about numerous incredible features like string comparison advancements, pattern matching and its likes.

Disadvantages

Scala has a limited number of users in the communities, which encourages lesser interactions and stunted growth.
At times the type-information in Scala is really complex to comprehend. This difficulty can be attributed to the functional and object-oriented nature of the language.

We hope that this article helps you to have a brief insight into two of the most demanding programming languages: Python and Scala.

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Top 3 Reasons to Learn Scala Programming Language RN

Posted on January 15, 2019May 23, 2020 by Dexlab

Top 3 Reasons to Learn Scala Programming Language RN

Highly scalable general-purpose programming language, Scala is a wonder tool for newbie developers as well as seasoned professionals. It provides both object-oriented and functional programming assistance. The key to such wide level popularity of Scala lies in the sudden explosive growth of Apache Spark, which is actually written in Scala – thus making later a powerful programming language best suited for machine learning, data processing and streaming analytics.

Below, we have enumerated top three reasons why you should learn Scala and tame the tides of success:

For Better Coding

The best part is that you would be able to leverage varied functional programming techniques that will stabilize your applications and mitigate challenges that might arise due to unforeseen side effects. Just by shifting from mutable data structures to immutable ones, and from traditional methods to purely functional strategies that have zero effect on their environment, you can stay rest assured that your codes would be more stable, safer and easy to comprehend.

Inarguably, your code would be simple and expressive. If you are already working on languages, such as JavaScript, Python or Ruby, you already know about the power of a simple, short and expressive syntax. Hence, use Scala to shed unnecessary punctuations, explicit types and boilerplate code.

What’s more, your code would support multiple inheritance and myriad capabilities, and would be strongly-typed. Also, in case of any incompatibilities, it would be soon caught even before the code runs. So, developers in both dynamic and statically typed languages should embrace Scala programming language – it ensures safety with performance along with staying as expressive as possible.

To Become a Better Engineer

He who can write short but expressive codes as well as ensure a type-safe and robust-performance application is the man for us! This breed of engineers and developers are considered immensely valuable, they impress us to the core. We suggest take up advanced Scala classes in Delhi NCR and take full advantage of its high-grade functional abilities. Not just learn how to deliver expressive codes but also be productive for your organization and yourself than ever before.

Mastering a new programming language or upgrading skills is always appreciable. And, when it comes to learning a new language, we can’t stop recommending Scala – it will not only shape your viewpoint regarding concepts, like data mutability, higher-order functions and their potential side effects, but also will brush your coding and designing skills.

It Enhances Your Code Proficiency

It’s true, Scala specialization improves your coding abilities by helping you read better, debug better and run codes pretty faster. All this even makes you write codes in no time – thus making you proficient, and happy.

Now, that you are into all-things-coding, it’s imperative to make it interesting and fun. Scala fits the bill perfectly. If you are still wondering whether to imbibe the new-age skill, take a look at our itinerary on advanced Scala Training in Delhi displayed on the website and decide for yourself. The world of data science is evolving at a steadfast rate, and it’s high time you learn this powerful productive language to be on the edge.

The blog has been sourced from – www.oreilly.com/ideas/3-simple-reasons-why-you-need-to-learn-scala

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Introducing Scala: A Concise Overview

Posted on January 9, 2019January 9, 2019 by Dexlab

Introducing Scala: A Concise Overview

Developed on Java Virtual Machine, Scala is a remarkable, advanced programming language finding acceptance amongst a fueling developer’s community worldwide. It functions parallel to Java. It has a lot of differences as well as similarities with the Java programming language. Its source code is compiled and exhibits functional programming.

The scope and capabilities of Scala are versatile. From writing web applications to parallel batch processing and data analysis, Scala can be leveraged for a plethora of high-end purposes. But, before going into such nuances, we would advise you to take a brief look at the below-mentioned questions with answers: they will help you grasp the intricacies of Scala and grab the hottest job in town.

Explain Scala?

Scala is a fantastic concoction of object-oriented and functional programming. Together, it combines to construct a cutting-edge programming language that is highly scalable, hence the name ‘Scala’.

Highlight the advantages of using Scala.

Swearing allegiance to its name, Scala is a highly scalable language – supported by maintainability, testability and productivity features – which it makes it an obvious choice over its tailing rivals.
Companion and Singleton objects in Scala offers an improvised solution in contrary to other static in other JVM languages, including Java.
It has the striking ability to eliminate the need to possess a ternary operator.

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Define a Scala Map.

Scala Map is a cluster of key-value pairs, wherein the values can easily be retrieved using the keys. In the map, the values are not unique but the keys are.

Scala supports two types of maps, namely immutable and mutable. By default, Scala endorses immutable map, but no worries, if you want to leverage mutable map, you need to import scala.collection.mutable.Map class, explicitly.

Name the Scala library ideal for functional programming.

Best suited, Scalaz library is hailed perfect for functional programming. Equipped with functional data structures complementing quintessential Scala library parameters, it hosts a healthy stream of pre-determined foundational type classes, including Functor, Monad, etc.

Highlight the difference between ‘Unit’ and ‘()’ in Scala.

Unit is a subset of scala.anyval, which is just a replica of Java void offering Scala with an abstraction of the Java platform. On the other hand, empty tuple, represented as () in Scala defined as a unit value.

What distinguishes concurrency from parallelism?

Most of the laymen confuse the terms concurrency and parallelism. To clear it up, concurrency is a phenomenon when numerous computations perform sequentially at overlapping time periods, while parallelism refers to when processes occur simultaneously. Futures, Parallel collection and Async library are a few examples when parallelism is achieved in Scala.

Define Monad in Scala.

The best way to explain a monad would be by comparing it with a wrapper: just how you wrap a present with a shiny wrapping paper finished with ribbons to make it look attractive, Monad in Scala is used to wrap class objects and fulfill two significant tasks:

Determine through ‘unit’ in Scala
Bind through ‘flatmap’ in Scala

Why do you use Scala’s App?

The App is a trait reflected in Scala package termed as ‘scala.App’, and it determines the main method. When a class or an object goes beyond this trait, they automatically become Scala executable programs, because they acquire the main method directly from the application. No one needs to write the main method when using the App.

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