Popular Programming Languages Used In Data Science

The demand for data scientists is growing substantially in every industry and is one of the most lucrative jobs in the market. The programming languages in data science involve high coding expertise. And, it is required to have proficiency in several programming languages to get into data science because a single language cannot solve problems.

Data science brings together strategies, data analysis, and statistics to understand the absolute wonders of data. It engages with various fields in math, information science, statistics, and computer science.

Once in a while, a new update is added to ensure optimized results and faster delivery. No doubt, programming languages are not similar, and data science demands effective high-performance outcomes.

Here’s a List of Popular Programming Languages Used In Data Science

Python: Undoubtedly, Python is widely used in programming languages among data scientists. Its language is easy to use and the go-to choice for various tasks like deep learning, machine learning, artificial intelligence, etc.

One of its striking features is its flexibility, and its robust data and science libraries make the tasks easier. It also has a large community for support, making it a priority among the top tools used in data science.

Python is mainly used to categorize data, perform data mining, create web services, and develop algorithms.

JavaScript: Another popular programming language used by data scientists is JavaScript. There are hundreds of Java libraries available that can cover any problem that a programmer might encounter. JavaScript is most commonly used for creating rich and interactive web pages.

It is popular due to its versatility of being capable of handling multiple tasks.

JavaScript is an excellent choice to create visualizations, and it is easier to learn and use.

Java: Java is a programming language that some top businesses have long used for secure enterprise development as their preferred choice. It has been called the pillar of the organization’s programming stack. With the demand for skills in Java, there have been particular demands for software engineers, software architects, and DevOps engineers.

Java is now being used for tasks that involve data mining, machine learning, and data analysis. It can build complex applications from scratch and delivers results faster than other languages.

R: R is also commonly used and is quickly rising as the most popular programming language. R is an open-source software chiefly used for statistics and graphics, making it an ideal choice for machine learning, data science, and big data.

It has a powerful scripting language that can handle complex data, and its ever-growing community makes it a top choice for data scientists. R offers efficient data handling and additional data analysis and provides many options for creating excellent data analysis plots.

SQL (Structured Query Language): SQL is one of the most popular languages in data science. To be a great data scientist, SQL plays a crucial role and is a popular programming language to manage data. SQL is useful for data science as it gives access to data and statistics.

In data science, the database is necessary, making SQL a necessity, and its domain-specific language is highly convenient for manipulating, storing, and retrieving data.

SQL allows the smooth management of vast amounts of data.

Data science is a fast-growing field with technological advancement, and there are more than 250 programming languages available. Learning a programming language comes first before becoming an expert in data science. In this article, the most popular programming languages used in data science have been mentioned, which can benefit your data science career. As mentioned earlier, having more than one language skill will boost your confidence.… Keep Reading

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Programming Languages For Mobile App Development

Mobile phones have become the most used gadget for any form of communication. With the rise in mobile phone usage, the need to develop apps and websites for the mobile phone too has increased. It has prompted web developers to use various programming languages to build Apps for multiple markets.

There are many programming languages to develop an App for Mobile phones. We shall look at the five best programming languages based on popularity and the most used language.

Java 

Most of the mobile users must have come across this popular programming language called Java. Development of any application accessible on the play store for an android device cannot be achieved without Java programming language and is one of the official languages for Android operating software.

Java language came to the limelight because Google supports Java language and its frameworks. It is not among the easy learning language and is not beginner-friendly; one will require a good proficiency with the language and the entire development process to develop an advanced or complicated mobile application. The programmer needs to be well-versed with the concept of class, objects, constructors, null pointer, concurrency, etc. 

Most beginners and experienced application developers take the help of various online platforms in case of any problem amid the coding. Programming is a hobby for most developers, and they come up with the most creative application, which gives them immense joy.

Kotlin

Kotlin was introduced as the official language for Android operating software by JetBrains in 2017 and was initially a cross-platform programming language in 2016. Kotlin is another popular language among android application developers.

Kotlin is less complicated and beginner-friendly for app development as compared to the Java programming language. This language serves as a versatile coding language designed with such an interface that is suitable with Java programming language.  

Kotlin is more compressed than the Java programming language because of its type interface and decreases common codes. Error detection is easy since it keeps away the errors from common android libraries and null pointer exceptions.

Swift

Since the release of the Swift programming language in 2014, the popularity is only rising. It is one of the most preferred mobile programming languages on stack overflow in the year 2015.

Almost 500,000 applications on the app store in IOS use Swift language.

It is a beginner-friendly language that makes coding easy for one who wants to learn to code. Some famous applications in IOS, such as Airbnb, Uber, Square, etc., used Swift as the core coding language.

 Swift is fast and has an in-built tool to convert complicated code to simple and easy coding.

Python

Python is one of the easy and high-level application developing languages in android Operating software. Python is an OOPs (Object Oriented Programming) language and offers a wide variety like dynamic typing and binding, which becomes a powerful feature for android application development.

Python is efficient, which allows the programmers to read the code and make the translation much effortless during an application development process. Due to its low maintenance and cost in programming, most of the giant commercial system prefers python language over others.

C++

Another cross-platform android application programming language is C++. This language is compatible with both smartphones or windows applications having high application performance. C++ is a high-level all-purpose programming language which is the extended version of the C language.

C++ uses its libraries available for the development of applications for both mobile and desktop. The programmers can also develop interesting IOS applications with in-depth concepts and experience in the C++ programming language. NDK software kit is needed for the user to perform coding in the C++ Android studio.

Conclusion

Because Android is open-source operating software, it has a vast number of users in the market. Most of the companies and organization prefers android operating platform over others for accelerated growth.

With the help of the above mobile programming languages listed, the challenge to create any complex software is achievable. Choosing the correct programming language and its characteristics could be a vast role-play in making a complicated mobile application.

Picking any programming languages from the above article could be a great kick start on your programming journey.… Keep Reading

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PHP Frameworks: Laravel vs. Symfony

Picking the right framework of PHP offers the correct blocks of building to create your application and developing it. The two best PHP frameworks are Laravel and Symfony. When you find the differences between these two frameworks, you will understand how they work and what are the functions of Laravel and Symfony. Then you can pick the right one based on these things and use it to develop your application.

Laravel Vs. Symfony

You can find the contrast between Laravel and Symfony by knowing their benefits and highlights. Let’s discover the differences between these two PHP frameworks.

Execution or Performance

Laravel PHP framework worked better than Symfony in the older versions. But with the changes and enhancements made in Symfony 4+, the edge of the Laravel framework of PHP lead to be the one which has nothing and it is empty compared with Symfony. The gains of performance shown by the Laravel is not present anymore as it boasted about. Till you utilize the frameworks which are greatest and latest has the higher and greater performance. Such that there is no change regarding performance in Laravel and Symfony PHP frameworks.

Prominence

The most prominent framework among Laravel and symfony is Laravel, yet the symphony remains as higher one among the list of popular PHP frameworks. With the fame comes with a huge amount of training and supporting online data. Laravel is the framework of PHP which offers amazing data in the form of tutorials whereas the symphony doesn’t offer anything to a user. Although symfony provides excellent documentation with the assets that are not as extensive ones than the other PHP framework Laravel.

Engine of templating

The templating engine by itself is PHP. But offering extra engines of templating offers more enhanced templating with the lesser syntax. In PHP other templating engines are used for keeping the logic of business as well as logic of presentation within the engine of templating. On the other side, symfony offers twig as the default engine of templating. Laravel is the one which provides these things in large amounts than symfony. Blade is the templating engine provided by the Laravel and this one offers benefits over twig templating engine.

As it enables the reusability of code which is not present in the twig templating engine. On the other side Laravel PHP framework provides the Lumen sub-framework for construction of microservices and APIs.

Migrations of Database

Migrations of database are automatic in Symfony. They only require easier definition for the areas present in the model. But when you consider the other PHP framework Laravel, the migrations of database are manual yet they don’t need to define the areas present within the model.

Modeling of data

Accessing of the information needs more amount of SQL knowledge in Laravel. This is not the situation in Symfony, as it needs that you make a function of repository for every call made. If your created application utilizes the structure of database which is complicated it may result in huge number of functions of repository. On the other side, eloquent has the power to tie your app with the design of DB schema. Turning the name of column can modify throughout the base of code. Symfony and doctrine utilize a mapper pattern such that you can delineate about your schema of database, logic, and business objects.

Based on these things many of them choose to go with Symfony. But both of these PHP frameworks to provide data access offer object relational mapping. In regards to symfony, doctrine is the one which handles ORM whereas eloquent offers ORM for the Laravel. With the object relational mapping, the manipulation of data is simple in either of the frameworks of PHP.

Scaling and Modularity

The PHP framework, symfony comprises of reusable elements which offer more amount of modularity. It organizes the code in a neat way turning it into a fit which is greater for more and larger projects that are complex. This is the reason why most of the PHP developers who are professional prefer the framework Symfony over Laravel PHP framework. In addition, the strength of Laravel is mainly around the applications which are MVC based. The minute you begin to wander away from the Laravel framework. It won’t be able to help you anymore.

Utilizing the framework Laravel, getting it up and running it will leave the other framework symfony remain in the dust. But thanks to the utilized prebuilt dependencies that you require is provided by symfony. But for building an application which is large scale, Choosing and selecting your plugins and dependencies creates the app simpler to scale and improve. But the point here shows the flexibility and modularity of the PHP framework Symfony.

Thus, the above-mentioned things are compared to find the differences between two PHP frameworks Laravel and Symfony.… Keep Reading

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