Search

Python Vs Scala

Created by Guido Rossum, Python is an object-oriented, high-level performing programming language which focuses on code readability. Python has several new features like it requires less typing, provides new libraries, fast prototyping, etc. It provides with dynamic typing and dynamic binding options, making it extremely attractive in the field of Rapid Application Development.Designed by Martin Odersky, Scala is also an object-oriented programming language that also supports the functional style of programming, but on a larger scale. It gets its name as a combination of the words ‘scalable’ and ‘language’, where it can scale according to the number of users. With time, it has become one of the most in-demand technologies amongst the developers.Both Python and Scala play very crucial roles in the growth and future of Data Science, Big Data, and Cluster computing. Below are a few major differences between Python and Scala.Major Differences between Python and ScalaSr No. PythonScala1.Python is a dynamically typed language.Scala is a statically typed language.2.Since it is dynamically typed Object Oriented Programming language, objects need not be specified.Since it is statically typed Object Oriented Programming language, the type of variable and objects are needed to be specified.3.Dynamically typed language creates extra work for the interpreter at the run time. It has to decide the type of data at run time.There is no extra work in Scala, as it uses JVM. Hence, it is 10 times faster than Python.4.It decides the type of data at the run time.This isn’t the case for Scala. Hence, Scala should be considered instead of Python when dealing with large data process.5.Python has huge community support.Scala has good community support as well, but it is lesser when compared to Python.6.Testing process and its methodologies are complex in Python because it is a dynamic programming language.Testing is done better in Scala as it is a statically typed language.7.Python supports the forked process, which is a heavyweight process, while it does not support multithreading.Scala has relative cores and a list of asynchronous libraries. Hence, it is a better option for implementing concurrency.8.Python is very popular thanks to its easy and English-like syntax.For scalable and concurrent systems like SoundCloud and Twitter, Scala plays much bigger.9.It is easy to learn and use.It is less difficult to learn than Python.10.Python is slower in terms of performance.Scala is 10 times faster than Python.11.Developers find it easy to code in Python.Scala isn’t easy to master due to its syntactic sugars.12.Whenever any change is made to the existing code, Python becomes prone to bugs.Scala provides an interface to catch the compile-time error.13.Python has proper libraries and tools for data science, machine learning and  Natural Language Processing (NLP).Scala does not have any such tools.14.Python has an interface for various OS system calls and libraries. It has many interpreters as well.Scala is a compiled language and hence, the source codes are compiled before execution.15.Python can be used for small-scale projects.Scala can be used for large-scale projects.16.Python does not provide with scalable feature support.Scala provides scalable feature support.Key differences between Python and ScalaThe key differences between Python and Scala are explained in the points mentioned below:Python language is dynamically typed, while Scala is statically typed.Development is faster, rapid and more productive in Python as it doesn’t need any compilation for most of its cases. While in the case of Scala, the process of compilation is slow. Hence, the development of Scala application takes more time.There are several platforms available for Python, but CPython is most widely used, whereas, applications run in JVM when it comes to Scala.As per task complexities, python has huge libraries, whereas, for Scala, it has small libraries.Python uses a decent amount of memory, while Scala has more memory consumption.Python is easier to learn than Scala.Since Python is a dynamic language, it executes slowly as compared to Scala.Python is less complex while testing as it is dynamic, while Scala is good for testing as it is static.Being a mature language, Python continues to grow. But Scala doesn’t have any widespread knowledge base or use.To conclude:We have compared Python and Scala over a range of factors, and it can be deduced that the selection of language depends on you and the requirements of your project. Hence, analyze and learn all the different artifacts of both Python and Scala before deciding on which one language. If you wish to excel in your career as a successful Python developer, you can opt for Python Certification with KnowledgeHut. Learn from the best! 

Python Vs Scala

7K
Python Vs Scala

Created by Guido Rossum, Python is an object-oriented, high-level performing programming language which focuses on code readability. Python has several new features like it requires less typing, provides new libraries, fast prototyping, etc. It provides with dynamic typing and dynamic binding options, making it extremely attractive in the field of Rapid Application Development.

Designed by Martin Odersky, Scala is also an object-oriented programming language that also supports the functional style of programming, but on a larger scale. It gets its name as a combination of the words ‘scalable’ and ‘language’, where it can scale according to the number of users. With time, it has become one of the most in-demand technologies amongst the developers.

Both Python and Scala play very crucial roles in the growth and future of Data Science, Big Data, and Cluster computing. Below are a few major differences between Python and Scala.

Major Differences between Python and Scala

Sr No. PythonScala
1.Python is a dynamically typed language.Scala is a statically typed language.
2.Since it is dynamically typed Object Oriented Programming language, objects need not be specified.Since it is statically typed Object Oriented Programming language, the type of variable and objects are needed to be specified.
3.Dynamically typed language creates extra work for the interpreter at the run time. It has to decide the type of data at run time.There is no extra work in Scala, as it uses JVM. Hence, it is 10 times faster than Python.
4.It decides the type of data at the run time.This isn’t the case for Scala. Hence, Scala should be considered instead of Python when dealing with large data process.
5.Python has huge community support.Scala has good community support as well, but it is lesser when compared to Python.
6.Testing process and its methodologies are complex in Python because it is a dynamic programming language.Testing is done better in Scala as it is a statically typed language.
7.Python supports the forked process, which is a heavyweight process, while it does not support multithreading.Scala has relative cores and a list of asynchronous libraries. Hence, it is a better option for implementing concurrency.
8.Python is very popular thanks to its easy and English-like syntax.For scalable and concurrent systems like SoundCloud and Twitter, Scala plays much bigger.
9.It is easy to learn and use.It is less difficult to learn than Python.
10.Python is slower in terms of performance.Scala is 10 times faster than Python.
11.Developers find it easy to code in Python.Scala isn’t easy to master due to its syntactic sugars.
12.Whenever any change is made to the existing code, Python becomes prone to bugs.Scala provides an interface to catch the compile-time error.
13.Python has proper libraries and tools for data science, machine learning and  Natural Language Processing (NLP).Scala does not have any such tools.
14.Python has an interface for various OS system calls and libraries. It has many interpreters as well.Scala is a compiled language and hence, the source codes are compiled before execution.
15.Python can be used for small-scale projects.Scala can be used for large-scale projects.
16.Python does not provide with scalable feature support.Scala provides scalable feature support.

Python and Scala Difference

Key differences between Python and Scala

The key differences between Python and Scala are explained in the points mentioned below:

  1. Python language is dynamically typed, while Scala is statically typed.
  2. Development is faster, rapid and more productive in Python as it doesn’t need any compilation for most of its cases. While in the case of Scala, the process of compilation is slow. Hence, the development of Scala application takes more time.
  3. There are several platforms available for Python, but CPython is most widely used, whereas, applications run in JVM when it comes to Scala.
  4. As per task complexities, python has huge libraries, whereas, for Scala, it has small libraries.
  5. Python uses a decent amount of memory, while Scala has more memory consumption.
  6. Python is easier to learn than Scala.
  7. Since Python is a dynamic language, it executes slowly as compared to Scala.
  8. Python is less complex while testing as it is dynamic, while Scala is good for testing as it is static.
  9. Being a mature language, Python continues to grow. But Scala doesn’t have any widespread knowledge base or use.

To conclude:

We have compared Python and Scala over a range of factors, and it can be deduced that the selection of language depends on you and the requirements of your project. Hence, analyze and learn all the different artifacts of both Python and Scala before deciding on which one language. If you wish to excel in your career as a successful Python developer, you can opt for Python Certification with KnowledgeHut. Learn from the best! 

KnowledgeHut

KnowledgeHut

Author

KnowledgeHut is an outcome-focused global ed-tech company. We help organizations and professionals unlock excellence through skills development. We offer training solutions under the people and process, data science, full-stack development, cybersecurity, future technologies and digital transformation verticals.
Website : https://www.knowledgehut.com

Join the Discussion

Your email address will not be published. Required fields are marked *

4 comments

Anup kumar 05 Aug 2019

Thanks for the wonderful article. Now I understood the between Python and Scala.

Alan 14 Aug 2019

Nice understanding and easy to read

Prasanna 14 Aug 2019

I like it when individuals come together and share thoughts. Great blog, continue the good work!

Rudhvik 14 Aug 2019

thank you for the informative article

Suggested Blogs

Scala In Demand Technologies Built On Scala

The term Scala originated from “Scalable language” and it means that Scala grows with you. In recent times, Scala has attracted developers because it has enabled them to deliver things faster with fewer codes. Developers are now much more interested in having Scala training to excel in the big data field. The Scala community has grown over the years and it has now become a standard for enterprise, start-ups and universities alike. Scala is now being used by many companies and individuals to build their own new ideas. Play Framework, Akka, Apache Spark, etc are some of the tools and projects created using Scala. Scala is now the next wave of computation engines and more importance has been given to the speed processing rather than the size of the batch, and the ability to process event streaming in real-time. 1.Apache Spark Apache Spark can be considered as the replacement of MapReduce. In late 2013, Cloudera, the largest Hadoop vendor supported the idea of replacing MapReduce with Apache Spark. Spark is developed by AMPLab and it is a fast and general purpose engine for large-scale data processing. Spark effectively provides an alternative for Hadoop’s two stage MapReduce model. It has improved the performance of certain applications to 100 times with its fine grain operators, in-memory caching of intermediate data, and data flow optimization. 2. Scalding Scalding has been introduced and maintained by Twitter. It provides full benefits of Scala syntax and functional operations. Scala is a powerful language for solving functional problems. Scalding makes comprehensive use of Scala and it is an extension to cascading that enables application development with Scala. If we focus on the benefits of Scalding, data applications can be built with Scala. With simple and concise syntax code becomes easier to interpret. Scalding has filled the benefits of cascading application framework. 3. Apache Kafka Built and maintained by LinkedIn, Apache Kafka is a distributed streaming platform. Apache Kafka allows the user to publish and subscribe streams of data, just like a messaging system. Kafka is responsible for handling hundred of megabytes of read-write traffic per second from thousand of clients. It is also empowered by Scala and we can see the influence of the language. Real-time data pipelines and streaming apps can be built by using Apache Kafka. Yahoo Kafka Manager is also written in Scala and the web console is built using Play Framework. The Kafka Manager is being used by many teams including the Media Analytics team. It interacts with an actor-based, in-memory model built with Akka and Apache Curator. 4. Finagle Built by the people at twitter, Finagle can be considered as one of the best case using Scala. It is used to build high-concurrency servers and is an extensible RPC system for JVM. Finagle was intended to provide high performance, concurrency along with Scala and Java idiomatic APIs. Finagle is known for the optimal use of available system resources and high scalability through concurrency. It uses safe, simple and clean concurrent programming model which is based on Futures. All these results in safe and modular programs.
Scala In Demand Technologies Built On Scala

The term Scala originated from “Scalable languag... Read More

Web Development Using PHP And MySQL

PHP (or PHP Hypertext Preprocessor) is a server-side scripting language that is used to create dynamic web pages that can interact with databases. It is a widely-used open source language that is specifically used for web application development and can be embedded within HTML. Why PHP? The distinguishing feature of PHP is that the scripting code is executed on the server, which generates HTML that is sent back to the client. The client receives the result of executing the script without knowing the underlying code. Developers can configure the web server to process all the HTML files (containing the PHP script). PHP course is easy to learn for any newcomer, but also offers advanced programming features. Using PHP with a database system PHP, as a scripting language, is popular among web developers because of its ability to interact with database systems including Oracle and MySQL. This article discusses the use of PHP scripting language with the MySQL database. Any website can require a variety of data or information to display and to retrieve them from the database. This can include display of a simple list to the running of the website based on data stored in the database. Listed below are some examples where PHP and MySQL can be used together: • Digital Ad banners, where the PHP script can be used to retrieve a digital banner from the database, which then selects a random banner from its table records and sends it back to the calling script. The PHP script can also maintain a count of banner views and clicks from the website. • Internet forums or digital boards, which use PHP and MySQL to store and retrieve user messages. • Website designing, where the design of an entire website can be changed using a couple of PHP scripts, instead of changing and uploading each web page. The PHP script can access the MySQL database to retrieve all information about the web page. Setting up the MySQL database The procedure of setting up the MySQL database varies according to the host. Every database would require a user name and password, in order to access the database. Database administration can be done using PHP scripts or using a program like PHPMyAdmin. The next step is to create the database tables for storing the website information. Creating a database table using PHPMyAdmin is also simple. Alternatively, one can create and configure the entire database using the following PHP script: CREATE TABLE tablename { Fields } Where the Fields are coded as fieldname type(length) extra_info Example: first varchar(15) NOT NULL The following command is used in the PHP script to connect to the MySQL database: mysql_connect(localhost,$username,$password); where: • localhost is the server address on which the web site is running, • $username is the user name for the database access • $password is the password for the database access Executing PHP commands After configuring and connecting to the MySQL database, you can start executing PHP commands on the server. Following are the 2 methods of executing a PHP command: • Entering the command in PHP using the following syntax: Mysql_query($query) This form of command can be used to repeat the command simply by changing the variable. • Defining the command as a variable. The result of the operation will be assigned to the variable. Data input and output Inserting data using PHP is identical to the procedure of data input using HTML pages. The advantage of using PHP is that the script does not need to be changed for each new piece of input data. Users can also input their own data on the web page. Following is an example of an HTML page with textboxes that can be used to enter data in a form: Alternatively, you can use variables to input information into the database. Example: $first=$_POST[‘first’]; $last=$_POST[‘last’]; $phone=$_POST[‘phone’]; $mobile=$_POST[‘mobile’]; $fax=$_POST[‘fax’]; $email=$_POST[’email’]; $web=$_POST[‘web’]; … $query = “INSERT INTO contacts VALUES (”,’$first’,’$last’,’$phone’,’$mobile’,’$fax’,’$email’,’$web’)”; mysql_query($query); This script is saved in the insert.php file, which can be called from the HTML form. Using this method, data entered in the web page form is stored in the defined variables, which are then passed to the PHP. To display (or output) the entered data using PHP, you can use the following MySQL command with the result assigned to the variable. $query=”SELECT * FROM contacts”; $result=mysql_query($query); PHP provides 2 submission methods, GET and POST to get the data submitted by the form into your PHP script. GET method displays the variables and the data in the page address, while they are invisible in the POST method. For example, a script can be created that will display different web pages depending on the clicked link. yourpage.php?user=david (to show David’s page) yourpage.php?user=tom (to show Tom’s page)
3965
Web Development Using PHP And MySQL

PHP (or PHP Hypertext Preprocessor) is a server-si... Read More

IOS Application Development Guide

Developing applications have never been easy task for developers. Mobile applications industry is becoming huge and it will keep on expanding. iOS applications are actually somewhat different from android applications. Programmers starting off with iOS application development should be familiar with the basics of the Apple’s development tools. Proper iOS training will give better idea of what you can and can’t do before starting off. Here we guide you in a right way for iOS development and how to do. We provide you the languages that has to be known before developing an iOS application, details on coding environment and the Apple’s guidelines which has to be followed. Where do you start? In order to do a graphical interface for your apps, you will have to know Xcode. Xcode is the Integrated Development Environment(IDE) for Mac and iOS. Xcode is free to download from the Apple site. You are not limited to a particular language while developing apps for iOS. There are many places for you to get started, consider Apple’s own guide which helps you out in Xcode, structuring and implementing your apps and finally uploading it to the App Store. You get to know about everything under one roof here. Apple also has videos which include various parts of development. These videos are from WWDC and you will get to know tricks and tips direct from the company. You can watch the videos here. If you are looking for some places other than the official sites, then Code School offers you free iOS course which is separated into different levels and you will even earn a Course Completion Badge at the end of course. Get started for free here. You can even try raywenderlich tutorials for iOS. Following Guidelines while developing apps Following these App Store Review Guidelines will help you to develop an app which will meet the standards set by Apple. Now these guidelines are very specific as we all know the quality of apps available in the App Store. At times you might even find it tedious to follow all of these guidelines, but even if your app does not meet them even remotely, chances are that your app might be rejected during the review process. Apple has also stated some top reasons for your app to get rejected. The review of the app will be done based on some factors like app design, content, and technical details. The app might also get rejected if any controversial subject is involved. Now these might be difficult for beginners or sometimes even for professional developers, but it is better to follow these guidelines rather than getting rejected. There are even some more guidelines to follow if you are going to integrate additional functions with your app such as Apple pay. Many of the Apple API’s have their own guidelines and it is better that you are clear of this before developing your apps. iOS Application Design Guidelines Apple has a set of design and interface guidelines. To maintain its legacy, Apple wants all the apps in their store to be designed in the same way. By designing it, in the same way, means that applications should use the same basic UI elements. “The world’s most advanced mobile OS offers everything you need to design beautiful, engaging apps that radiate power and simplicity”, says Apple. Apple has provided Human Interface Guidelines page and it contains all the basics that developers will look for in both apps and icon designs. To start off with the iOS app development, Apple has also provided a set of Do’s and Don’ts that make it easier for the developers. Github and testing codes Creating a bug-free application is a myth. Applications in their early release have some bugs and it is good practices to get other people sees your code and invite beta testers to try your app. GitHub is the place for software versioning and collaborative work. GitHub provides an incredible way of linking Xcode into it. After registering on GitHub, the work done on it will be saved and accessible by other people on your team.
6336
IOS Application Development Guide

Developing applications have never been easy task ... Read More

20% Discount