Java VS Python VS R Language

Java VS Python VS R Language

Do you ever fall into a dilemma of choosing the right language for studying data like big data? If you are an entrepreneur, then you must have fallen in the gasp of wonder when measuring any set of data or big data.

Now, when it comes to a programming language to use in data science, there are three languages which are quite popular among the programming language folks,

  • Java
  • Python
  • R Language

Here in this post, we will address these three languages explicitly. What are the merits and demerits of using these languages when it comes to data science? These are some of the questions that we will look into.

So, are you ready to go deeper? Let’s get started with the brief introduction of these programming languages.

Here we go,

Java: Write Once, Run Anywhere!!!

Java is a programming language which can be classified as general purpose, concurrent, object-oriented, and class-based. As in the subheading, it must be clear that Java is one of the most compatible languages which can run almost in any platform which enables it to use widely.

Java platform is the amalgamation of Java tools and extensions. The Java platform provides developers a development environment full of frameworks, APIs, libraries, Java plug-ins, a runtime environment, and a JVM (Commonly known as Java Virtual Machine). Together these tools simplify the Java coding and create a support development environment that provides every developer ease to create Java applications and web systems.

Many experts believe that as Java is 100% object-oriented, there are ample benefits which any developer can reap. Being object-oriented means a developer will have to find the ease of development. Not only that, the development is flexible and extensible as well. One more benefit you can reap from Java!!!

As it is one of the most popular programming languages, it is very easy to hire Java developers. There is an entire community that can help you with your Java development project.

Python: The Multi-Paradigm Programming Language

Python is well known to be as the interpreted high-level programming language which is voraciously used for general purpose programming. It was created by Guido van Rossum in 1991. With a design philosophy, Python emphasizes using white space and code readability. In a nutshell, Python creates a construct that promotes clear programming for all type of industries.

Python is the right language when it comes to automatic memory management as it is dynamic in nature. Python is imperative, object-oriented, procedural, and functional with a comprehensive standard library.

Python programming language is difficult to learn but when you use it, you can express more with fewer lines of code.

R: The Love of Data Miners & Statisticians

When you are looking for an apt programming language for statistical computing R language is the one that will make your work bliss. When the researchers and statisticians want to create statistical software, R Language provides them the command line interface that will help them to express complex data analysis in easily comprehensible language.

RStudio is the only GUI developed by the R foundation however, integrated development environments are accessible.

Which Language Should You Choose For Your Project?

You know about your project better than anyone. So, how are you going to choose!!!

Let me help you with that. Here in this section, I will give you a simple rundown of how you can use these languages as per your project.

Without any further ado, let’s begin

Java: Is it the right choice?

Java programming language is great for large-scale systems.  When you are building large-scale systems, Java is your best bet. If you compare these three languages for large-scale systems, then Java outranks all of them. Python is faster than R Language and Java is even faster than python which makes Java the best for a large-scale system.

The development time of the Java Virtual machine (which is a great environment for custom tools) is very responsive and quick.

However, when it comes to statistical modeling, Java is not considered to be the best choice. If you analyze the hardcore of Java, it is significantly outplayed by python and R language.

Python: Do You Find It Fascinating?

If you are looking for workflow integration, then Python is the most flexible solution for your project. When you need to apply statistical methods or use the data analysis techniques, you can use python to integrate these features with the production environment or with the web apps.

Machine learning is one of the plus points in python. With the presence of libraries like PyBrain, sci-kit-learn, and TensorFlow you can develop prediction engines and sophisticated models which can be integrated into your production environment easily.

However, when you have specialized data, then you might want to avoid the use of python. Python community is on the verge of discovering a solution for this, but right now they are no real close to it.

R Language: Do You Need High-Quality Reporting?

If you are looking for a more detailed statistical analysis, R is perfect for you. In fact, R language was developed by and for statisticians. If you need in-depth statistical applications, then R will provide you the right direction. If you are working with IoT devices or any other detailed financial model, you can work your way through CRAN repository which is full of packages that will help you in performing detailed visualization tasks and analysis.

R language also enables you to develop high-quality reports using graphs and charts that give more elaboration of the findings. There are a number of packages such as ggvis, ggplot2, rCharts, and googleVis.

R Language is not an ideal choice if you are looking for high performance, large-scale data, and learnability. It is designed for statisticians, so one needs to have a steep learning curve to get hold of R language.

Are You In A Need Of Data Analysis?

So, as you can see, these three programming languages have equal merits and demerits. If you want to find what is best for your business, you need to understand your requirements.

I hope this post will help you in understanding the basic difference between the three programming languages. Leave a comment and let me know what you think about that. Till then, Cheerio Fellas!!!

PHP VS PYTHON: Which Of Them Is Better And More Convenient?

PHP VS Python

When a person chooses to make his/her dreams and ideas into reality, he/she usually reach a stage where they need to choose in which web language they want their dream project should be developed. PHP and Python are the two most widely used programming languages. PHP, by tradition, is used as a server-side scripting language. Python is valued for its dynamics, accessibility, and simplicity. In spite of their identical popularity among developers, these two languages have many similarities and differences. The wide popularity and use of these languages lead to the question of which of them is better and more convenient?

In order to answer this question, it’s important to carefully consider the functionality, features, and scope of PHP and Python in software development. It is also important to understand their main differences and their relation.

What Is PHP?

 

PHP (Hypertext- Preprocessor) is a server-side scripting language designed for web development by Rasmus Lerdorf. The development of this programming tool can be taken back to 1994 when Rasmus developed a number of modules and extensions that prolonged capabilities of the most popular C language. Before being used by developers all over the world, PHP’s mechanism was created for the creator’s own website but other developers quickly appreciated the new features of those components and began to actively use them. As a result of the constant use and extension of PHP, the development and growth of developer community, the new language is not only become popular but more than 80% of the modern websites are based on it. It has constantly evolved and complemented by the developer team and members of larger user community together. We can safely say that PHP is on the peak now and it is very early to talk about the decline in its popularity.

 

Advantages of PHP

•  Cross-platform

PHP provides high compatibility with a leading operating system (OS) and web servers such as thereby enabling it to be easily deployed across several different platforms. PHP scripts run across all operating systems such as Linux, Windows, MacOSX etc., and also provide support for all major web servers such as Apache.

•    Open Source

PHP is an open source. That means it is readily available and absolutely free to use. The community of open source PHP developers provides technical support and are constantly improving, updating the core PHP functionalities. It is available at free of cost under PHP General Public license and most of its associative required software’s like TextEditor and Apache servers are also freely available, so it proves very cost effective for the developers.

•    Speedy Performance

A very vibrant side of web development is the speed. Considering the very significant fact, some individuals still struggle with the challenge of web data speed. A quick loading website is always preferred by individuals compared to slower loading ones. Developers use PHP because of the important fact that it is quick.

•    Deep code-based programming

PHP can be used to produce a very complex content management system like WordPress, Drupal, and Magento. There is no necessity of a code procession or compiler.

•    Almost every hosting provider supports PHP

It is one of the most widely held programming languages and almost every hosting provider supports it since it doesn’t have any compatibility issues when PHP application have to run live.

 

Disadvantages of PHP:

•    Security

Meanwhile it is open sourced; all people can see the source code. If there are bugs in the source code, it can be used by people to discover the weakness of it.

•    Not appropriate for large applications

It will be challenging to use it for programming huge applications. Since the programming language is not highly modular, huge applications created out of the programming language will be hard to maintain.

•    Weak type

Unspoken changes may surprise unwary programmers and lead to unpredicted bugs. Misunderstanding between arrays and hash tables. This is slow and could be more rapidly done. There are often a few ways to complete a task. It is not strongly typed. It is interpreted and uses curly braces.

•    Poor Error Handling Method

The framework has an improper error handling method. It is not a proper solution for the developers. Therefore, as a qualified PHP developer, you will have to overcome it.

•    PHP is incapable of handling large number of apps

The technology is incapable of supporting a bunch of apps. It is highly tough to manage because, it is not competent modular. It already imitates the features of Java language.

 

What Is Python?

 

Python is a multi-paradigm, general-purpose, well understood, high-level programming language. Five years older than its competitor, Python was developed by Guido van Rossum back in 1989 as the ABC language replacement. By using Python, a programmer gets access to different programming styles, which helps him/her to create simple or complex programs, get faster results and carve code almost as if speaking in human language. Python got popular among the developers in 2000’s after the release of “Python2.0”. One of the main reasons why “Python2.0” got popular was because of one of its main feature, the complete Unicode support.

Unlike PHP, Python from the start was engineered as a full stack programming language, irrelative of web development. This is the reason why it is not as popular as PHP. On the web today there are less than 1% of websites is created and managed using Python.

 

Advantages of Python:

 

  • Programs are easy to read – Thanks to Python’s stylish syntax it is much easier to read and write than a lot of other web languages.
  • Easy to use – It gets a program to work in simple and straightforward way, which is why Python is broadly used for prototype development.
  • Easy to outspread – We can always add new modules that are applied and piled up in other web languages.
  • It supports object-oriented program designed with multiple inheritance and classes.
  • Progressive programming features – It has list comprehensions, generators and many other useful features.
  • Has many specialized interest groups – It has large public and many widely varying parts that all focus on different things, such as scientific endeavors or prototyping.

 

Disadvantages of Python:

 

  • Reputed to be slower than languages such as Java.
  • It does not really work well with multi-processor/multi-core systems.
  • It has limitations while accessing the database layer.
  • Python is a typed language which is typed with dynamism, so it has more errors that only show up during runtime and thus requires a lot more testing. Therefore, it has a lot of design restrictions.

For years and years debates have been going on about which of the languages is more user-friendly and most applicable to various tasks: Python or PHP? In spite of the many differences between these tools, which consist in a different composition, different spheres of application and logic, these languages, nevertheless, have a number of common properties.

 

Common Features of PHP and Python:

 

  • Both can be used for general purpose programming and scripting.
  • Both languages are well-interpreted, high-level languages that have dynamic typing.
  • Both are Open Source languages supported by large developer communities.
  • They are easily understood and easy to learn.
  • They both have support for method chaining.
  • Both of them are easy to extend in other web languages.
  • Both have support for the variable number of function arguments.
  • They have single statements for all data types.

 

We have finally got to the peak of our comparison. It’s time that we look at the main differences between PHP and Python which set them apart.  Without further ado, let’s get down to it!

Differences between PHP and Python:

 

Python Has a More Readable and Essential Code – Python’s design beliefs emphasizes code readability. This makes it easier for developers to write clean and organized code, regardless of the project’s scale or the program’s size. It’s easy to build complex applications in a small amount of time with Python.

Paradigms – Both of the languages have resemblances and feature a number of common programming paradigms. Python features support oriented with aspect and object, functional and well-structured programming styles. PHP has a functional, object-oriented, reflective, technical programming style.

Python is More Malleable but isn’t as good for developing web-applications – It can be used to develop all kinds of software and applications. It is also perfectly suited for creating scientific applications, prototyping, and applications that have to process huge amounts of data. It has a lot more flexibility than PHP but is not as good for producing web-applications.

PHP is better for Web-Development – PHP was created with web-development in mind, thus it comes with loads of implanted web development features. Writing websites is much easier to write in PHP than Python because Python is a general-purpose programming language. But with the right third-party modules, Python can be a very efficient web-development tool in that case.

Python is More Secure – Python is well-thought-out to be one of the most secure programming languages. It has several security features that make it great for swiftly writing complex applications with precise goals and functions in mind.

PHP applications have a lot of security problems but to tackle them one needs to add tools that enhance their security.

 

PHP vs PYTHON:

 

Who’s the best??

Nevertheless, to choose the best of two, at the end of the day, it comes down to the purpose of development. Similar in the creation of PHP and Python, before starting to learn the language or make someone develop your product, it is important to ask the question “what exactly do I want to get in the end?”

To build simple working sites and web applications, as the experience of developers around the world and statistics restate, PHP would be the best solution. On the other hand, Python would be the most ideal and convenient tool for the building of complex flexible products.

When it comes down for selection between PHP and Python for mobile development, take note that Python is not limited to the web development capabilities, which make it more flexible than PHP. All the major mobile platforms (IOS, Android, and Windows Mobile) have some kind of Python port or framework that allows developing native and web applications with a help of Python.

Thanks to its code of practice and logic, PHP is better applicable for web development exactly. Though there are ways to build mobile web applications over the PHP server-side backend, it is much harder as compared to Python.

9 Python must known frameworks

9 Python must known frameworks

As a dynamic, broadly useful item situated programming dialect, Python is utilized generally by engineers over the world for building a mixed bag of programming applications. Not at all like other cutting edge programming dialects, Python empowers software engineers to express idea with less and clear code. The clients likewise have an alternative to coordinate Python with other mainstream programming dialects and apparatuses flawlessly. Be that as it may, it can’t be utilized specifically for composing distinctive sorts of programming.

Regularly Python designers need to utilize a mixed bag of systems and instruments to fabricate top notch programming applications inside of a shorter measure of time. The assets gave by the Python systems help clients to lessen the time and exertion needed for present day applications. They likewise have an alternative to browse various structures as indicated by the nature and prerequisites of individual undertakings. In any case, it is additionally vital for the software engineers to know a percentage of the Python structures that will stay prominent in the more drawn out run.

 

10 Python Frameworks that will Remain Popular

1) Kivy

As an open source Python library, Kivy makes it simpler for developers to fabricate multi-touch client interfaces. It underpins various prevalent stages including Windows, Linux, OS X, iOS and Android. So the cross-stage structure empowers clients to make the application for different stages utilizing the same code base. It is likewise outlined with components to exploit the local inputs, conventions and gadgets. Kivy further incorporates a quick realistic motor, while permitting clients to browse more than 20 extensible gadgets.

2) Qt

The open source Python structure is composed in C++. Qt empowers designers to manufacture joined applications and UIs that keep running on different working frameworks and gadgets. The engineers can further make cross-stage applications and UIs without rolling out any improvements to the code. Qt further scores over different structures because of its exhaustive library of APIs and devices. The software engineers have alternative to utilize Qt either under the group permit or the business permit.

3) PyGUI

PyGUI is thought to be less difficult than other Python systems. Be that as it may, it empowers designers to make GUI API by exploiting the dialect elements of Python. PyGUI right now underpins Windows, OS X and Linux. So the designers can utilize it for making lightweight GUI APIs that can be executed on these three stages. They can further report the API extensively without alluding to the documentation of any outsider GUI library.

4) WxPython

The GUI toolbox for Python helps developers to make applications with exceptionally practical graphical client interfaces. As wxPython backings Windows, Linux and OS X, it gets to be simpler for engineers to run the same system in numerous stages without adjusting the code. The clients can compose the projects in Python, while exploiting the 2D way drawing motor, standard dialogs and different components gave by the structure.

5) Django

Django is the most famous abnormal state web application advancement structure for Python. Regardless of being open source, Django gives a basic and quick improvement environment for building a mixed bag of sites and web applications quickly. It further helps software engineers to make web application without composing protracted code. It further accompanies components to keep a portion of the regular security mix-ups made by the designers.

6) CherryPy

As a moderate web system, CherryPy empowers projects to make sites and web applications simply like composing other article arranged Python programs. So it gets to be less demanding for designers to assemble web applications without composing protracted code. CherryPy further confesses all interface, while permitting engineers to choose the privilege frontend utilities and information stockpiling alternative. Notwithstanding being the most seasoned Python web application improvement system in the business sector, CherryPy is as yet being utilized by software engineers to make an assortment of present day sites.

7) Flask

It’s one of the fundamental web systems accessible for Python. Its center is straightforward and simple to utilize, yet exceedingly extensible. It additionally needs numerous elements gave by other web structures including database reflection layer and structure approvals. Additionally, it doesn’t permit clients to add normal usefulness to the web application through outsider libraries. In any case, Flask empowers developers to make site quickly by utilizing expansions and code bits. The bits and examples contributed by different individuals help designers to perform basic undertakings like database access, reserving, document transfer and validation without composing any extra code.

8) Pyramid

In spite of being a lightweight and basic Python web structure, Pyramid is immensely well known among developers because of its high and quick execution. The open source system can be utilized for making a mixture of utilizations. Once the standard Python improvement environment is set up, the engineers can utilize Pyramid to construct the applications quickly. Pyramid further permits clients to exploit a free Model-view-controller (MVC) structure. In the meantime, they can further exploit different systems by coordinating them with Pyramid.

9) Webpy

As a straightforward yet capable web structure for Python, web.py helps software engineers to construct an assortment of advanced web applications quickly. The mix of straightforward structural engineering and amazing advancement potential further helps clients to conquer a portion of the normal limitations and drawbacks in web improvement. Despite everything it needs numerous components gave by other cutting edge web structures. Yet, designers can undoubtedly coordinate web.py with different structures to profit various propelled elements and usefulness.

10) TurboGears

As an exceedingly adaptable web application improvement system for Python, TurboGears helps clients to wipe out confinements and impediments inside of the advancement environment. It can be utilized as a small scale structure or full-stack system. It further gives an adaptable item relationship mapper (ORM), alongside supporting a few databases, numerous information trade organizations, and level information parceling. The designers can further utilize the new gadget framework gave by TurboGears to effectuate advancement of AJAX-substantial web applications.

In general, the Python engineers have alternative to browse numerous structures. Some of these structures effectuate advancement of GUI desktop applications, while others help developers to fabricate cutting edge sites and web application quickly. In the meantime, the engineers additionally have alternative to utilize certain structures to compose versatile applications in Python. That is the reason; it gets to be fundamental for the engineer to evaluate the suitability of every system for his venture in light of its elements and usefulness. The client can likewise consider coordinating the structure with different systems and instruments to profit more propelled elements and usefulness.