Firstly, when designing an application what does comes to your mind? The interface, the features, the benefits? Above all, the first thing retrospected are the pain-points the application should solve. After all, the solution designed to combat the pain points and solve the problems right?  With a number of different applications and technologies out there in the market, it can be difficult for you to choose the right one.  Technologies meant to solve problems and provide new and innovative ways to tackle problems is the focus point worth mentioning.
 
Python is long adopted as a platform where the new and bright ideas are formed. And then they are implemented and put into perspective. Many companies and firms adopted and embraced the use of python to design different applications.  Here we will discuss some things which sheds light on when to use python and why should you use python.
 

When to use Python?- Python Mobile Development

 
Particularly, when it comes to python, this piece of technology is a remarkable one. It can adapt and change itself to embrace and power the applications that drive it. Secondly, it scales well with different machines and systems. And these systems help to provide you with adequate results for the applications that you use. Here are Our top reasons when you should ue Python.
 

1. Need to use latest technologies

Firstly, if you want to use and embrace latest technologies that power state-of-the-art applications then you must consider using Python. The technologies that drive todays applications are by far the best that we have encountered this decade. Particularly, if you have a desire for creating mobile friendly and high performance applications be it for whatever sector or vertical, then you should consider the benefits Python provide users and customers alike.
 

2. Need to perform complex statistical calculation applications

If you have a need to use and apply complex mathematical and statistical applications, then you should compulsory use python. This is because of the unique ability for Python to support complex mathematical and statistical calculations and applications. With the speed and versatility that Python has to offer for high performance computing, there is no other technology that comes this close to what python has to offer to you.
 

3. Want to have higher scalability for applications

Particularly when the question is about how well the technology scales with regards to systems and nodes and servers, it is no doubt that python performs exceptionally well. If you are looking to use a particular technology that scales well with time, python should be your first consideration for usage. With the flexibility and convenience that python has to offer to its users, there will ne no looking back for you. Scalability is definitely a set criteria for which you need to consider using python.
 

4. Need full support for third party technologies

Above all, support that python provides for third party technologies is just immense in nature. With support for hot and trending technologies such as Artificial Intelligence and Machine Learning, you are sure better off using python to your agile advantage as well. Python has provided right out of the box support for extreme technologies that help you shape the future of app development altogether. It provides extensive support for third party technologies, with many frameworks being developed that run on top of python, you can use any tool that you want.
 

5. Want to have a robust language platform

If you are looking for a platform that scales well with time, and provides you the flexibility and robustness to handle high volumes of traffic and huge number of users. Then python is the way to go forward, my friend. Python provides you everything that you need to build a user friendly and high performance application. With the speed and agility that python has to offer, you are better off using it to your advantage and creating apps that helps tackle the problems of many users and customers.
 

Why to use Python?- Python Mobile Development

 
Now that we have seen the subtle nuances of different applications that helps us understand when should we use python, let us see why should we use and embrace python technology?
 

1. Easy to code

Python applications are easy to develop and maintain. The applications are designed from the ground up to be able to support ease and flexibility right out of the box. Many developer and programmers find python usage to be easy and versatile depending on its application and situation that it is being used for. Many coders find the python platform to be very versatile in nature.  This just helps developers create different applications depending on what needs to be achieved.
 

2. Easy to test and maintain

Python applications are easier to test as well as maintain. When you need to add a third party functionality and provide additional features and functions to your existing python application, you can do so. As is with different technologies, python also supports routine maintenance and upgradations services. These depends on the host of requirements needed to run applications and tools.
 

3. Greater scalability and efficiency

When it comes to application of greater scalability and efficiency, python is able to beat all odds here. Python comes out as a winner here. This is due to the fact that it offers greater amounts of scalability and efficiency depending on the working environment and infrastructure set up. Python is able to add new servers pretty easily.  And can scale well in both horizontal and vertical direction. Depending on your requirement, you can either increase your performance per user. Or provide new and improved features and functionality that appeals to the masses.

Read More: Why Use Python for Artificial intelligence and Machine Learning?

4. Compatible with third party technologies

Python offers support for all different third party tools and technologies right out of the box. When it comes to adding features and functions to existing python applications, developers are able to do swift and quick work. Depending on the requirements, developers can easily add the required functionality to the existing python applications.
 

5. Support for Object Oriented Programming

Python supports Object oriented programming right out of the bat. Python makes sure to support all OOPs features and functions pretty easily and efficiently. Complex calculations can be performed quite easily and efficiently depending on the users requirements which makes use of OOPs concepts.  So it is worthwhile to say that OOPs is supported fully and extensively by python depending on what you are trying to use it for.
 

6. Supported By major Operating systems and platforms

Python supports major operating systems and platforms. You can run python on almost any platform that you wish to choose. It runs easily and efficiently on major leading platforms such as Windows, Macs or Linux. Python proves to provide the essential and necessary support pretty easily and efficiently.
 

7. Great Community Support

Python has a rich history behind its back. The language was first released way back in 1995 which is a good 25 years of richness and maturity that it has. Aspiring python users can use the community support forums to get all answers to all their questions that they have. There are plenty of useful and valid resources that help developers and programmers learn their way into using python as a right tool to develop applications for.  So it can be used for almost any kind of programming purposes.

Also Read: How to Find and Hire Python Developer in India

Conclusion- Python Mobile Development:

So we see because of the above reasons, we have mentioned why and when you should use Python for the above listed purposes and situations. Hope you like this blog on Python Mobile Development If you are looking to hire python developers then do contact us at info@nimapinfotech.com with your requirements.

Overview

Firstly, hiring a candidate for any technology should not be a difficult task. With the right approach and the right skillsets, you can get the best candidate for your project. Particularly, when it comes selecting a best candidate/Hire Python Developer for the job, you need to check the relevant skills and techniques. Secondly, a candidate will always show you pointers and give subtle clues as to they are a better fit than the lot. You need to check for such clues and carefully assess the candidates for the project.

When you are out to select the best candidate for your project, keep a list of pointers with you. These points will help you get closer to the right candidate you are trying to find.  Therefore, if you have a list of viable pointers with you, the assessment will become smooth and easy for you. Do not over pressurize the candidate as he can fumble and hesitate when providing answers to your questions.

Thirdly, when it comes to selecting a candidate for a particular technology, prepare yourself thoroughly to ask questions to the candidate. This will provide you a way to assess the candidate’s profile whether he or she is the right fit for your project or not.

There are many pointers that you can use when assessing candidates for your project. Here we will talk about which pointers you need to check and analyse for selecting the right candidate for your job or project. Here are some pointers that will help you get closer to the right candidate or Hire Python Developer.

Do a quick Google search

Selecting and choosing the candidate is as easy as one two three. All you need is some patience and vigour to get closer to the right developer or candidate for your python project. You can start off by doing a quick google search or any search engine search for getting the details of candidates. A quick google search will show you list of candidates that have experience in handling different kind of python based project smoothly and efficiently. Google will show you the list of candidates from different websites. These candidates can also have a websites of their own where they post regular blogs and trending topics related to the industry that they specialise in.

Shortlist candidates based on profile

Once you have done and performed a quick google search, you can shortlist the profiles that you find interesting for getting closer to the right python developer. You should carefully check each and every profile to know the subtle differences and similarities that exist in the profiles. Carefully go through each and every profile and scrutinise the projects, the level of experience and the know-how that the candidates or developer have. This should be an easy task for you to go through and scrutinise the profiles. Doing this will let you know and find out which are the weaker profiles and which are the stronger profiles among the selected candidates or developers profiles that you have.

Conduct Interviews sessions

Once you have a list of profiles for the various developers, schedule an interview sessions for the developers. Make a list of all the questions that you are going to ask to the developers or candidates. Allow them to know what project that you will be providing and assigning them. Help them understand the roles and responsibilities that they have and the scope of the project as well.  Making a list of questions that you will be asking them will put you ahead in the race to find and Hire Python Developer or candidate.

Take help of experts

So now you have the list of questions that you are going to ask the candidate, if you are into handling projects and have experienced developers or departmental heads, take the help of experts. You can take the help of experts who have some programming knowledge and background to help you select the best candidate or developer for your python project. When you take help it does not mean you are weak. It mean that you value the views of other managers and experts as well. So make sure that you have someone to assist you in selecting the best python developer.

Also Read: How to Hire MEAN Stack Developers: Step-by-Step Guide

Check candidates portfolio

Now this is an important point. Doing this will help you understand which projects the developer candidates have handled in the past. Carefully check and assess the projects details that the developers have done. Ask questions related to their projects. Ask technical questions and check how they are answer. It does not matter if the candidates know the answer to the questions or not. It matters that the candidates or developers must have the learning spirit and humility to check and verify the probable answers or not.

Check past work

Make sure to check the past work that the candidates or developers have done. Ask questions when you get the time to the developers and see the project in action. Ask questions that get you the details as to what features and functions they have used to develop the project. Also take help from experts in your organisation wherever possible. Let you get all the help and abilities that you need to assess and check the candidate or developers past portfolio. This is an important step as you get a chance to check the technical abilities for selecting the right developer or candidate for you project.

Analyze candidates communication skills

Many people do all of the above things but fail to do this one. This should not be the case, as this point is equally important for you and is critical for the success of your python project. Check the communication skills of the candidate. How does the candidate or the developer manage to convey things and do his or her tasks? Make the candidate write essays, or comprehensions that help you to check the level of communication abilities for the candidates or developers. This is a critical step and should not be missed or overlooked.

Read More: Hiring the best app developers: Dos and Don’ts

Conclusion: So you see we have listed down the probable ways and techniques that help you select and shortlist the right python developers for hire in your company. If you are looking to Hire Python Developer then we can provide you with developers within ONE hour. Contact us at enquiry@nimapinfotech.com or at info@nimapinfotech.com with your requirements. We are just a call or email away.

Overview

Firstly, technology evolves quickly. Everyday, there is a new and updated technology doing the rounds of providing web and application development services. These technology stacks have helped programmers and developers do some fantastic things in the web development spectrum. Particularly, now the main focus is on providing good web development efforts.  But now the main focus is providing speed in development, robust security and high performance efficiency in web applications.

When the talk is about web development, several things come into our minds. How will we be able to choose a framework and help us get the efficiency and performance we are talking about. Specially when there is the case of rapid web development, fewer technologies exist to help in this regard. Here we are talking about rapid web development spectrum. In which the technology designed from the ground up to support fast paced web development efforts.

Today we are going to look at web development powered by Django and Python technologies, Python as we all know is one of the most mature technologies that exist today. Python proves to be especially good when clubbed with using Django for web development.

Django, known for it reliability and efficiency as well as the support it offers to web developers. Django can be a good choice for web development when the question is about time and security. This technology supports high quality web development coupled with python provides developers a bonus in web development functionality and usage.
 

Why choose Python and Django?

Here are some compelling reasons why you need to choose Python and Django for rapid web development:
 

Mature technology

Python coupled with Django is one of the most mature technologies you can find for the development of websites and web applications. Python was introduced in 1995 and it has a good 25 years of research and development under its belt. A vast number of years of research and development, coupled with good developers around the world makes the technology seem apt enough so that you can use it for web development and web applications together. Whatever be the need, Python and Django are fully able to satisfy every developers need when it comes to web development and web application development.
 

Simple to implement and understand

This language and framework designed from the ground up to satisfy and help programmers code websites and web applications. The language and the syntax of python language resemble plain simple english. When developers use python for web application development, they are able to use simple statements that make quick work for development. Any programmer or developer can easily read and understand others code as well as work on it for updation and maintenance purposes. The amount of customization and feature upgradation that Python provides is just unmatchable. Compared to any other technology that exists out there, it is great.
 

Lots of plugins and libraries available

There are numerous plugins and libraries available to provide functionality right out of the box. When it comes to implementing a particular functionality, chances are it is already available when you make use of a plugin or a library. These libraries and plugins developed solely for the purpose of making web development with Python and Django easier and simpler. You can make use of these plugins and libraries and tools to support web development efforts on your side. Django coupled with python has more than 3000 plugins to provide enhanced features and functionality that you need for your web application.
 

Used for hot technologies such as AI and ML

Many technologies that are upcoming and happening are already supported by this great language and framework. If you are looking to develop AI and ML based applications using Python, then you can easily do so.  You will be able to use various enhanced support and features that help you to develop your web applications easily. If you are looking for implementing machine learning in your web development projects. You can do so using python as your base language.

Also Read: Why Use Python for Artificial intelligence and Machine Learning?

Provides Fast paced web development

If you are looking to reduce the time taken for web development then python is an apt solution for you coupled with Django. You can design any type of website and web application using Python and Django. As this combination is quite apt to suffice your needs.
 

Easier to code and reduces development efforts

As we have already pointed out that python uses plain english like statements to help developers to code websites and web applications, it is much easier for you to code. This helps developers get the most out of the python language as it is easier for them to use code and implement in their websites. It becomes a much simpler and easier task for developers and programmers to code websites and web applications using Python and Django as their main language and framework.
 

An active community for support

Python right from its introduction to the public in 1995.  Boasts of an ever growing community that is ready to help each and every one.

Whatever be your issue or query you face in your development efforts. You can get it solved by asking your queries to this community through the use of active forums and user groups. This is a hard working community that readily shares their knowledge and knowhow. They do this to even novice and budding developers to help build websites and web applications they want. Almost all queries answered within 24 hrs of posting.
 

Detailed Documentation

The Python and Django documentation being detailed with examples and illustrations. The python group has done this to enable developers to quickly search and implement concepts.  They can do this for their web applications quite easily and efficiently. The examples are detailed and provide enough knowledge to developers and programmers. The documentation is open for any developer and programmer who wishes to use it.

Read More: NodeJS vs Django: Javascript or Python which is best?

Conclusion:

So you see that we have provided you with the most compelling reasons why you need to choose python and Django for web development. You can do rapid web development quite easily with this. If you are looking to hire Django developers or hire python developers then contact us at enquiry@nimapinfotech.com with your requirements.

Firstly, when choosing a language, we need to decide on the merits and demerits of that particular language. How does it perform? What are the advantages offered to programmers and developers? How these advantages can be leveraged. When choosing a particular language, we need to decide upon the features that our applications are going to have. In order to help you to decide which language is going to be best for you. We have compiled this list of functionalities and benefits. This will help you to decide better which language (Kotlin vs Python) is apt for your programming tasks and needs.

What is Kotlin?

Kotlin is developed to be an open source language. This means that there is no license or subscription needed to use the language for your programming needs and uses. Everyone and anyone is free to use the language as per their needs and uses. Kotlin is also a statistically typed programming language. This means that Kotlin uses and employs a JVM or a Java Virtual Machine in order to get things done. It also works flawlessly on various different platforms.

A programming language is going to be statistically typed when the type of the variable used is assigned rather than at compile time instead of run time. Variables used in Kotlin get their value types directly at compile time when the program code is compiled in the compiler. This language is known to be fully interoperable with Java. Kotlin is able to provide us with a very concise and different combination of object oriented as well as functional programming features.

Kotlin is developed by the well-known company Jetbrains. It was first launched to the general public in February 2016. This language is majorly used for server-side development, client side application development as well as for any android app development.

Now let’s check out the major reasons why should you use Kotlin for your android development projects or any projects.

Why should you use Kotlin- Kotlin vs Python?

Create less code:

Kotlin is known to create less code in order to get the same tasks done swiftly and faster. Every developer and programmer aims to write and create less amount of code that is able to accomplish the same objective or tasks need to be done. When you use kotlin, the same tasks can be done in much less amount of code thereby improving app performance. Thus kotlin gives you much better results compared to any other programming platform or language.

Ease of adoption:

If you have any kind of project that is developed using the android platform or the java language. Then Kotlin makes it much easier for you to shift your entire programming code to Kotlin. You can use it for your projects that are of different kinds and types. Any project that is developed using java for android is thus enables to be shifted to the Kotlin platform and language has been designed to be much easier and flexible. Thus this makes migration from one platform to another much easier when you use Kotlin for your projects.

Supports and enables functional programming:

 Kotlin has been designed from the ground up to fully support functional programming and designing. This allows developers and programmers to design and process tasks quickly and easily. Whatever objective that developers are trying to achieve can be done using a set of functional programming features and techniques quite easily and swiftly by developers and programmers.

Full compatibility with Java: 

Developers and programmers are free to use and employ any framework and tools that make use of Java. Wherever there is a need to use Java Tools and frameworks, you can do so. This is because tools and frameworks that work well in Java also work well with respect to Kotlin. Kotlin is designed to be fully interoperable with the Java language.

No runtime overhead

Kotlin makes use of a small library. Hence there is no runtime overhead as most of the tasks are accomplished directly at compile time instead of runtime. In the run-time situation, the program is directly executed without having any overhead or tasks remaining to be completed. This enables objects to be mapped to the program at compile time only instead of run time.

MultiPlatform compatibility

Kotlin is able to support not only Android app development but it also provides support for platforms such as Gradle and JavaScript.

Less Error-Prone

Kotlin design and development is done in such a way that it is less error-prone for developers and programmers. This is because some of the common coding errors are eliminated directly. Moreover, because developers and programmers have to write less code, there are very low chances for them to actually cause an error. Due to this feature, it is also easy for Kotlin developers to debug the code and eliminate any errors or bugs that might have crept in the code.

What is Python?

Python is created to be an object oriented language as well as a high-level programming language. This language was developed by Guido Van Rossum in 1991. This language was released to the general public in the year 1991.

Python can accomplish a lot of different things. Things and tasks such as:

Software development, System scripting, Server side web development, Handling big data and performing many complex mathematical calculations. All of these tasks can be accomplished using Python.

Also Read: Kotlin vs Java: What to Choose for Android Development

Why should you choose Python-  Kotlin vs Python?

Third-party library and modules availability

There are many third-party modules that are available for Python. So python should easily extend to provide additional features and functionality as per your requirements. Chances are that whatever that you are trying to achieve using Python, there may be a library tool that is available for you to accomplish the same task.

Open Source and Community development

Python language designed and developed under the OSI standard and approved license. This means that you are free to distribute and use the language as per your will and needs what it may be.

User-friendly Data Structures

Python has provided developers and programmers a built-in list of data structure and this helps construct data structure at a faster rate during runtime.

Productivity and Speed

Python has provided developers and programmers with an object-oriented design, test processing capabilities as well as its own testing framework, all of these functions contribute to better speed and productivity.

Many language support provided

If you want to run mathematical or statistical programs then Python is an apt language. Even the language for statistical operations named R language runs on top of Python infrastructure very easily and swiftly.

Read More: Kotlin vs Flutter: Performance & Difference

Kotlin VS Python-  Comparison

Conclusion:

We have shared with you the best reasons for Kotlin VS Python.  Why either of the languages used for your development and programming purposes. It all comes down to personal preferences and what you are trying to achieve using either language. If you want to hire Kotlin developers or hire Python developers then contact us with your requirements at enquiry@nimapinfotech.com with your requirements.

Firstly, Python is an interpreted high-level programming language with dynamic semantics and object-oriented programming designed to be easy to read and implement. It is a scripting language like Perl/ruby and used for creating web applications too. Java-Script is an object-oriented programming language which allows you to create dynamic web pages and got standardized in ECMAScript language specification. Java-Script supports different programming paradigm as object-oriented, functional, and imperative programming but not procedural programming.

Python has long been a programming language that is used for various kind of statistical applications and uses. It has simple english like syntax that is helpful for developers and programmers to create simple and complex web applications. The Python programming language supports various upcoming technologies such as Artificial intelligence and Machine learning. Many technological companies such as netflix, alibaba, and others have used python in their product bases.

The python programming language is simple as well as easy to learn. Many beginner or novice programmers find it easy because of the simple english like syntax statements that python makes use of. This language has attained a definite maturity and the applications that it supports is huge. Many applications are created on top of the python programming language due to the sheer number of support that it offers.

What is Python?

Particularly, Python supports different programming paradigm as object-oriented programming, functional programming, imperative programming, and procedural programming. It came up with huge built-in modules and packages. It allows programmers to use different program styles for simple and complex programs.  now we will discuss the Python vs Javascript.

What is Java-Script?

Secondly, Java-Script is an object-oriented programming language. It is highly used in browsers to provide dynamic functionality which we cannot achieve through normal HTML and CSS. It has support for standard applications with text, regular expressions, and dates.

JavaScript has long being used as one of the languages that is used to provide interactivity and responsiveness in websites and web applications. It was created with a sole purpose of allowing and facilitating validation of user input for the web programming languages such as HTML, CSS. Nowadays there are many frameworks that are written and developed using the JavaScript as the base language. Many technologies such as Angular, React and others have developed using JavaScript as their base language.

Javascript also provides an exhaustive and detailed documentation for programmers and developers to use.

Lets us start with the comparison: Python vs JavaScript

Direct Comparison

Key Differences between Python and JavaScript

In summary, lets us see some of the points that shows the Differences Between Python vs JavaScript

• Python is strongly typed – no implicit conversion between types whereas JavaScript is weakly typed.
• The synchronous and blocking code is standard in JavaScript whereas python as de-facto as default.
• JavaScript can be used to run on frontend whereas python is on server side programming or backend.
• Python has procedural programming whereas Java-Script does not have.
• Java-Script has; as statement terminator whereas python has a newline.
• is a better-designed language which makes it easy to maintain whereas JavaScript is poor.
• is not good for mobile development whereas Java-Script is good.
• Python is slow to run comparatively to JavaScript.
• provides huge standard library whereas JavaScript has a limited standard library.
• heavily relies on assignment with no difference between variable and assignment whereas JavaScript doesn’t relay.
• has many libraries for scientific computing, data analytics, and machine learning whereas JavaScript does not.

Recommended Read: Laravel VS Python VS NodeJS

• Python has support for many numeral data types like int, float, fixed-point decimal whereas Java-Script mainly works on floating point variables.
• Python has inbuilt REPL whereas JavaScript does not have.
• JavaScript runs on both browser and server whereas python is mostly used for server-side programming.
• Python is easy to get started comparatively to JavaScript.
• The Python language is easy to find new jobs comparatively to JavaScript in this year.
• Python object-based is nearly equal to JavaScript and python supports programming style which uses simple functions and variables.
• JavaScript is most complex modern programming language comparatively to python.
• Python and JavaScript both use a lexical scope with small differences.
• Python has a Self-argument as the first argument for each method whereas JavaScript has accessed the object using “this”.
• Unlike JavaScript, python does not have a way to inherit from instances.
• Python is good if we do data analytics, machine learning or math-intensive operations whereas JavaScript is good for building a website or native applications as it took less time for UI work.

Also Read: PHP vs Python

Firstly, for any kind of web development, as a web developer its better to go with PHP and Laravel over Python and Django. But they’re both great pairings of powerful tools with long futures. Let’s get into the pluses and minuses.

In summary, if you compare the two language wise, PHP is a language designed for the web. It’s made from the ground up specifically for web development and the fastest development language in that environment. PHP 7 also seems to be much more efficient than Python 3. It needs less VPS memory overhead in order to achieve and accomplish the same task. As long as we’re talking about web tasks. (PHP is more performant though, Laravel does not necessarily share that performance.)

PHP with laravel or Python with Django both are equally capable and developed as well as mature frameworks that can get the job done. When it comes to web development, both are equally adept and apt to do the web development task.

Convenience for Web development

Python 3, on the other hand, is useful to know far beyond the web development spectrum.  If you are also into other things. Much like C# is known as the language for modern video game development. Or any kind of cross-platform mobile development. Python is known increasingly as the language for Big Data and AI.  It is also used for machine learning analysis and predictive analysis. the more you are going to use Python with Django, the better suited and abled you will be for these other useful areas in the near future.

There are going to be more web development jobs and tasks for PHP coders. But there are more jobs in general for Python coders as well. It depends on how dedicated you are to the web, as most PHP jobs or gigs will be related to WordPress or, increasingly now, Laravel. PHP is all web designing and development, all the time.

Framework-wise, Laravel also makes you and enables the use of classic, traditional OOPs (object-oriented programming) as well as the MVC (model-view-controller) patterns. You will be very ready to use other robust and solid MVC frameworks. Examples  (like say .NET) after mastering and gaining insights for Laravel. Django is less so, as it’s a little more quirky as well as unique with its MVT patttern (model-view-template) approach. It is a bit less married to the OOP paradigm per se.

Preferences

It comes down to personal preference and what features you want in your web application. If you want stability and security along with simplicity and out of the box features then you can go with PHP with laravel. If you are looking for a robust and secure platform where you can create banking applications and robust infrastructure.  As well as you are looking for manipulation of data and analytics to be present then you can go with Python with Django.

Google Trends Comparison-

PHP with Laravel or Python with Django

Laravel also has gained a huge amount of considerable momentum over Django as of 2018. Let’s see the Google Trends results for how many people are seeking info on Laravel these days. How many (fewer) are checking out Django. I also used Ruby on Rails for good measure, which was #1 in this comparison.  It faired recently through 2013 and 2016 but is now #3 out of 3 as of 2018.

Laravel first passed over the Django framework overall in developer “interest” two years ago in April 2016, then passed Ruby on Rails in December 2016, and has gradually increased its lead over both the frameworks through every month of 2017 and, so far, and as of 2018. There is actually a bit lesser new interest in Django or Rails today than there was over five years ago on May 1, 2013. Meanwhile, if you see there exists a 700% more interest in Laravel today than there was on May 1, 2013.
The math is coming up Laravel.

Recommended Read: PHP vs Python

You can not really go wrong with either of these frameworks, but if you are equally proficient and have mastered PHP and Python, Laravel has the momentum as well as the stricter (or at least more traditional) adherence to certain “best practices” that exists in the field of web programmings such as OOPs and MVC. And, language-wise, PHP powers much of the websites that are out there.,(thanks in part to WordPress) and there will undoubtedly be plenty of such kind of open opportunities in PHP web development for decades into the future.

Primarily for the above listed three reasons, Laravel and PHP are probably going to be your best bets for web development as of 2018 and looking toward the 2020s.

Frameworks Popularity

We are also adding the caveat that we saw on TechEmpower.If you compare this with raw PHP, you will find that Laravel does not perform better. For a basic web app that is going to have hundreds of users, Laravel is a joy to use. But for something much larger and scalable, an upgrade to the similar (by way of MVC and OOP) yet slightly more complex .NET Framework may be in your future.

If you are building a really large or high traffic website that has tens of thousands of users, I’d maybe consider Django for the job after all, or more likely make the use of ASP.net Core 2 or Node.js instead of either. That being said, Laravel is able to handle whatever you’d throw at it. You’d just need to upgrade the hardware. We can also have expectations that Laravel will make performance improvements, as it’s still relatively new compared to each of these much more mature frameworks.

Also Read: Django vs Laravel: Which Web Application Framework to Choose?

If you are looking to build your website, web application or mobile application with PHP with Laravel or Python with Django or want to hire developers then contact us on enquiry@nimapinfotech.com. We have the most talented and seasoned developers ready to onboard you project in no time in order to help you out. We are just a call away, you can contact us at enquiry@nimapinfotech.com with your requirements.

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In this article we are going to compare as well as contrast two major technologies, that is NodeJS and Python. Let’s us jump right into the basics:

1) What is NodeJS and What is Python?

Before we start discussing the basics of these technologies and platforms, we need to clarify what exactly these are that we are comparing.

Python is a computer programming language. Node JS is not. The language used for NodeJS is JavaScript. Node Js is a runtime environment for JavaScript.

The main key difference between Python and NodeJS means that when you do coding inside of NodeJS you are using the same basic language (JavaScript) for both the frontend and the backend.

Lets us deep dive into the breakdown of these technologies.

2) The advantages provided by Python to developers is as follows

Python is very friendly to junior developers and inexperienced developers.

Python is a very beginner-friendly language. This is why it is much likely to be the most popular introductory language in US universities. Major mistakes made by junior developers in some frameworks are easily forgivable, and they are less of a hindrance moving forward in development.

On the other hand, inexperienced developers tend to get slowed down by making mistakes in development. These mistakes are common to people who do not fully understand some of the more advanced concepts and the inner workings of JavaScript.
This phenomenon can be easily attributed to the way JavaScript has advanced over the years. Concepts such as object-oriented programming have been receiving meaningful traction only after plenty of much less elegant code snippets and tutorials have been spread online.

Most of the Python frameworks do not require a very high skill level from the developer’s point of view.
A very good example of this is the Django framework, that has a mature ecosystem and allows you to write quality code swiftly.

Python is more versatile as well as universal
Python can be used for desktop app development, and all the credit goes to electronJS, the main use case that is favorable to node js is the web. The applications of Python have known to go far beyond the web.

Python is the main candidate to become the next level programming language for data science. This is a great asset to system administrators because it allows them to write small one-off scripts and on top of that it provides large system admin tools such as Ansible

A good example that has used Python is Dropbox, one of the most common desktop apps written in Python.

Python is simpler as well as easy to use, better documented and better covered.
This is proven to give Python an edge over NodeJS, even after both technologies are admittedly fast to write in.
NodeJS is a JavaScript implementation, this is a language with a long history and a predominantly a front end tool. Therefore solutions that involve, NodeJS can be easily found online. But these may be inadequate for backend use and they rely on inaccessible interfaces

This use-case cannot be overstated, because each JavaScript framework or runtime environment tends to have a slight deviation on how it was implemented using JavaScript.

This situation has been improved over the years. But it is still a long way off from Python where CPython being a single implementation that is used in a vast majority of Python projects.

3) The advantages of Node JS are as follows

Node JS developers are more flexible

Since we have the same language that is used for both the front end as well as the back end, you need to be a JavaScript developer to use NodeJS. This functionality can come handy when you most needed it. The fact remains that when you have a solid understanding of the project and have the right people to build it, you cannot go wrong with JavaScript and NodeJS.

The development environment of NodeJS is less opinionated

Numerous NodeJS packages are simple, single-purpose libraries and micro frameworks that force the developers to make conscious decisions on what to use them for and when.

This makes NodeJS much more demanding. It requires a high level of advancement on the developer’s front than what it takes to generate code in Python on top of Django using built-in solutions for ORM, cache abstraction, and so on.

With NodeJS you can use JavaScript for coding any functionality

NodeJS allows you to code both the backend as well as frontend using JavaScript. This implies that you do not need to know different technologies and that shows that your developers do not need to learn a different implementation of the same programming paradigms.

At the stage of assembling your development team, you do not know how many, Python or JavaScript developers you will be required, your needs will also differ in sprints, depending on your goals.

Using the same language for the entire project removes the risks from the equation. You can also share a part of the code with the front and the back ends. This is a huge benefit to not having to do the same thing twice.

The NodeJS community is very large and JavaScript is one of the most dynamic and fastest-growing programming languages out there

JavaScript has been growing at an exponential rate. There are more than 500 packages for JavaScript being introduced every day. Python has no longer the advantage of numerous libraries that it once in time used to have. JavaScript has caught up with NodeJS in this aspect.

Read More: PHP vs Python

4) The problem with NodeJS and JavaScript

JavaScript has been developing super fast now. But this was not the case earlier.
In the beginning, the language was constructed haphazardly, and it has been struggling with issues caused with its older versions as well as the compatibility issues that bring with it.

JavaScripts recent rise in popularity has also brought another major downside to it.
So many developers have turned to the language in such a short period of time that it has been pretty difficult to keep up with the latest updates in the languages

The swift and rapidly grown happening to the language also brings another problem with it. This problem is that there is no proper and detailed documentation for these libraries that have been coming up for Node JS. This results in the poor quality of programs for Node JS programs.

Sadly this is nothing new for JavaScript as it has been very typical. If history has taught us anything it is that Python is much more reliable.

5) Main aspects to consider

Here are 3 main aspects that shed light on the different aspect of the story, this will help you to make an important decision:

Trending Technologies:

Python has been a major player in Machine Learning applications in the field of data science and it provides tested libraries for ML
It is far easier to find ML experts who are well versed in Python than JavaScript
MicroPython-a lighter and smaller version of Python can be run with much less resources and less power thus making it a perfect fit for IoT devices.

On the other hand, NodeJS is much more comfortable to be used in the Internet of Things (IoT)
When you compare the most popular libraries for Python and JavaScript

Speed and Performance:

One major drawback of Node JS is its inability to multitask., It cannot do many things at the same time unless you write very well code for it. Both Python and NodeJS pretend to do a lot of stuff at once, but Python applications tend to use a much simpler and traditional multiprocessing model approach instead of a more advanced asynchronous paradigm.

When written correctly, your software will send information to the Operating system that it needs to perform a certain task and move on, while the system works on that. But if you did not code the application efficiently, the app will wait for the system to complete the task and does not do anything in the meantime.

Team Composition:

The truth is that Python is well suited for some projects and JavaScript for others. Lets not that building software is a fluid process. The most important thing is team composition. If you have good python developers, then use python. Or if you have good JavaScript developers then use JavaScript.

Recommended reading: Ruby vs Python

Conclusion

At the end of the day, it depends on what features do you want to implement in your project and how you want your overall application to behave. You can and you should choose the technology that best fits your requirements and fulfills all your objects, it does not matter whether this is achieved using Python or NodeJS JavaScript for that matter.

If you’re looking to hire node JS developers or looking to hire python developers then drop us an email with your requirements. We have experienced developers who have profound knowledge of implementing web systems using node JS or python. You can share your requirements with us at enquiry@nimapinfotech.com.

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Whenever a new technology comes in. This is to determine which technology is able to solve all our programming and designing problems and provide us with the most optimum solutions. The technology that is able to do this is valued at a much higher rate and we give the preference to it. The technology is also suggested to others because we encountered a seamless and a less difficult experience with it. Technologies comes and goes but the best experience always remains at the back of our minds. We are even motivated to suggest these technologies to our peers, friends and colleagues. Simply because we got a good experience with it.

Often there are computer technologies that have matured fully to provide stability and benefits for the developers to solve computing problems. In this article, we are going to discuss as well as compare two very much mature technologies and see how do they stack side by side. These technologies are Ruby and the other one is Python. We are going to compare and contrast as well as highlight the features of these two languages.
 

Let’s start by listing down the similarities as well as the differences between the two languages:

Similarities between Ruby VS Python

These languages are also Cross-Platform which means that it is convenient for distribution teams where people use Linux or Windows on their computers.

Both these languages are dynamically typed languages. This means that you are free to use a variable without declaring it first.
These languages also support Object-Oriented Programming right out of the box

Differences between Ruby Vs Python

Ruby is commonly used in organizations that create web applications. Programs written using Ruby enables teams to swiftly and rapidly develop as well as focus on business processes instead of coding functions from scratch. Ruby is able to provide an excellent Model-View-Controller (MVC) structure so you are able to strictly separate your user interface, data as well as the business functions.

When you compare Ruby using Python, Django is Python’s most popular MVC framework, not only this, but python is also popular beyond the domain of web applications. For example, consider the Pandas library, which is used for data munging and preparation along with other math libraries such as stats-model and numpy. Tensorflow is popular for any kind of machine learning tasks, and Matplotlib is powerful for data visualizations. There is also another library called SciPy.  This library has resources in order to solve math functions.

Flexibility

When it comes to the Flexibility part of Ruby, it has adopted the Perl’s philosophy that there is more than one way to do it. Because of this you will find many different application methods in order to accomplish a certain task in Ruby. Depending on who is writing the code, this can lead to unnecessary complexity as well as obfuscation

On the other hand, Python uses a different approach where simplicity has more preferences and value than complexity. Hence its philosophy is that there should be only one way to do the task. So although Python code will not be the most flexible, it has a very good chance to be readable to an inexperienced programmer.

Read More:  PHP vs Python

Popularity

Over the past few years, we have witnessed the Use of Ruby slowing down and slowly declining from the list of the top ten languages, from fifth place in 2014 to the tenth place in 2018. Comparatively, Python has maintained its spot as well as it shows an improvement in its Rankings moving from the 4th position in 2014 up to the 3rd position in 2015 where it maintained its rankings till the end of 2018.

We can also check the job opportunities for these languages. Stack overflow returned twice as many results compared to Ruby. If you use LinkedIn, Python is leading by up to 20% over Ruby. Therefore if you want a skill set high in demand then you should go for Python as your preferred skill set. But if you prefer something niche with higher pay in the long run, then you should opt for Ruby.

Know More: 5 Reasons Why You Should Choose Python for Big Data

Reusable Code

When the question is about Reusable code, publicly available and ready-to-use code is an important factor when deciding on a programming language. Python is used to call them as Modules. These are available via PyPI where you can search from over 150000 modules. Reusable code in Ruby is called Gems. There are close to 150000 gems. But the most differentiation between these is the ability to filter them. PyPI allows filtering by categories like “development status” and this can be much more straightforward when manually comparing libraries and manually evaluating the code.

When the case is about packaging and automatic dependency resolution, both these languages offer a painless installation of dependencies in the development environment. An advantage on the python’s side is virtualenv enables you to isolate different versions of the Python interpreter. Ruby also has a similar feature through rbenv or rvm, but this can be a little cumbersome to use.

Learning Curve

Python is much easier and user-friendly as well as quicker to learn for beginners who are new to programming. The syntax is the easiest to understand and is much more readable to the average beginner. But beyond that, you need to make decisions on what framework you should use to supplement the bare-bones Python.

This is because it has inbuilt features like scaffolding and Active Record in order to accelerate your development. As soon as you know about them you will be able to build a CRUD application using API access in a matter of minutes.

Testing and Troubleshooting

Testing the code in the early phases of development is important and has to be done during the code development stages only.  Even though PyTest and unit test have been present, there has not been a single framework for Behavior Driven Development (BDD) in Python. RSpec plays this role in Ruby and behaves seem to show some results but it does not look mature as RSpec.

Recommended Reading: Java Vs Python

Ruby VS Python Direct Comparison

Conclusion:

Ruby and Python are the two most mature language frameworks that have provided many benefits. These benefits are for web development and made the overall development effort a whole lot easier and flexible. If you’re looking to hire Ruby Developers or to hire python developers then contact us at enquiry@nimapinfotech.com with your requirements. Our representatives will get back to you within 24 hrs.

Hope you like this comparison on Ruby vs Python.

PHP vs Python:

Before we begin about php vs python or which language is better for web development . Let us start with the basics of each language. The language used for web development in python and PHP. We are also going to find out how python is better than PHP when it comes to web development

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PHP (Hypertext Pre-processor)

PHP is a scripting language that is designed for web development that is used to create dynamic as well as interactive HTML web pages. This is also a general-purpose language that is used for programming. This language was introduced by Rasmus Lerdorf in the year 1994. The full form is known as Personal Home Pages but it is now known as Hypertext Preprocessor.

PHP is nothing but an HTML based web Scripting language. This means that PHP code can be inserted in between HTML snippets of a web page. It is the fastest way to create database-enabled as well as dynamic websites. PHP Supports enterprise as well as main web servers such as Apache, Microsoft IIS, Netscape, etc and it also works on operating systems such as Linux, Unix, Windows, and Mac OS.

We have listed down some key features as below:

PROS/ Advantages

Open Source:

It is based on the Open source programming concept and this means that you do not have to pay in order to use it. You can download for free and use the PHP language.

 Know more: Basic difference in Web Development with Core PHP and PHP Frameworks

Simple and easy to use:

When you compare with other scripting languages, it is very simple, easy to use and understand and is used widely all over the world. Its robust and secure features provide it an advantage to use and implement in web servers for serving PHP and HTML web pages

Interpreted language:

PHP is an interpreted language, and this means that a compiler is not necessarily eliminating the need for any compilation process.

Platform Independent:

PHP code is platform-independent which means that it can run independently of any platform such as Windows, Unix, Linux, and Mac OS, etc

Speed:

PHP is comparatively faster than any other scripting language since it uses much system resources.

Error Reporting:

PHP has a function for error reporting in order to generate the warning so that one can easily find the errors as well as fix them on time.

Disadvantages:

9Security:

As we already discussed that the language is based on the Open Source License. All the people that are using it can access the source code and if there exist any bugs in the source code it can be used to explore the weakness of PHP.

Unfit for modular applications:

It is hard to maintain the applications as the language itself is not very modular.

Let’s discuss some basics of python.

What is python?

Python is a high-level programming language that is used for general-purpose programming. The language was designed and developed by Guido van Rossum. It was released in 1991 and has kept a design philosophy that puts emphasis on code readability notably using remarkable white space.

It is used for the following, Software development, web development, mathematics as well as system scripting. There are 2 major versions of the python language, Python 2 and Python 3.

Python has a natural style of writing which makes it easy to read and understand as well as it is equally fun to use as well. Some reasons’ python as gained popularity because:

Beginner Friendly Language:

It is a very user-friendly language that is beginner-friendly because it is easy to understand as well as fun to use. That is one of the reasons that python has gained huge popularity to be a beginner-friendly language.

High-Level Language:

As it is a high-level programming language so while you are using the python language the user need not worry about low-level details such as memory management.

Shorter code:

Another advantage of using python language is that it is well known for producing shorter codes when compared to other programming languages to achieve the same task

Clear Syntax:

Python does not use curly braces, it has a very clear, orthogonal and brief syntax.

Read More: 5 Reasons Why You Should Choose Python for Big Data

Object-oriented:

Python supports both procedure-oriented programming and object-oriented programming. It has a very powerful but easy way of performing object-oriented programming compared to other programming languages

Now, let’s look at some of the main reasons for why to prefer using python over the PHP language
If we talk about the readability as well as maintainability of both the languages PHP is not much maintainable as compared to Python.

Python consists of more security features when you compare it with PHP.

In PHP, the functional programming is not provided but in python, functional programming and techniques are possible.

PHP was designed with the sole purpose of being as a ‘web development’ language while Python was designed with the sole purpose of being a ‘general purpose’ language.

Python has a more united and commanding standard library, and the library is much better than that of PHP
Python has a more dense and clean syntax that is easily readable that helps developers in web development.

Conclusion:

So now we know which language is best suited for which environments and how we can use the language with the best of the features to satisfy and complete a programming task. We hope that you have found this blog helpful. If you are looking to hire PHP developers for any web designing project then do give us a call to discuss your requirements. If you are looking to hire python developers then also provide us with your requirements. You can also hire python developer in Dubai, UAE. We are there to help you design that masterpiece website.[/vc_column_text][/vc_column][/vc_row]

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What is NLP?

NLP stands for natural language processing. It is the field of computer science and artificial intelligence that deals with the communication between a human and a machine. NLP helps machines to interpret the human language and extract the intent, context, and meaning of the message and come up with proper response based on analysis that is similar to a human being. Over a period of training, it can be used to personalize and enhance the user experience.
 

What is chatbot?

It is a program built using artificial intelligence that responds to the user using text or sound. Chatbots are generally used in customer support, seat reservation, product ordering and making appointments. The famous example of chatbots is Alexa, Siri, Google assistant. Chatbots provide 24×7 assistance to the user. Today almost every company has a chatbot to engage with its users. Find out more about chatbots – read what is a chatbot.
 

How NLP works?

The first step in NLP is tokenization. Tokenization mean splitting sentences into words. We can just split the words where space occurs. For the example purposes, consider the following sentence “Delhi is the capital of India”. After tokenization, we get a set of words {“Delhi”, “is”, “the”, “capital”, “of”, “India”}

The next step is identifying the parts of speech of each token. For example, “Delhi” and “India” are proper nouns. Thus, the knowledge gained from this step is that Delhi and India are proper nouns so the sentence must be talking about them.

Next step is to identify the stop words. Stop word is nothing but a list of words that frequently occurs in a sentence. So NLP filters out these stop words. In the given above example “is”, “the”, “of” is primarily the stop words. Stop words can be identified by just by checking a hard-coded list of the available stop words.

The following step includes dependency parsing where the NLP determines how all the words are related to each other. Next step is NER (Named Entity Recognition) which detects and label these nouns with the real-world concepts that they represent. For example “Delhi” and “India” represents the location.

These above steps are just a short summary of how NPL extracts information from messages and uses it for further analysis.
 

You may also want to know more: Artificial Intelligence

Why NLP is required in the chatbot?

The main reason why chatbots are developed is to provide human-like assistance to the user and help him to achieve his/her goal. NLP helps the chatbot to understand the user’s message and respond appropriately. For example, if you send a message “Hi”, it is the NLP that lets the chatbot understand, that the message is a standard greeting. Thus using AI functionality the chatbot will respond with a return greeting.

Many chatbots are of little or no value without NLP. Only with NLP the chatbots understand messages and respond appropriately. The system is powerful enough to make or break a chatbot’s success as well as make it popular. With NLP chatbots can connect to queries and identify entities as well as the sentiments to generate own intelligent responses. Without NLP a chatbot cannot meaningfully understand the context of the message. The message is just a text input for a chatbot. It’s the natural language processing that helps to extract the context and meaning of the message.

NLP empowers bots with personality. It enhances the functions of chatbots for all businesses. It elevates their scripted and sequential conversations of chatbots to that of humans. Assessing, analyzing and communicating skills of NLP based chatbots makes this possible.
 

Read More: Creating Chatbot with Deep Learning

 
NLP understands and enables the needs of the customer with better clarity as well as the accuracy. It gains importance in the business world in order to provide better user experience across applications like chatbots, speech recognition, social media listening & texting, voice-enabled applications and devices. NLP with its translational and other features are the need of the hour. NLP based chatbots improve customer experience. You can fulfil the Expectations of today’s millennial business people around the globe with NLP’s business intelligence.

Want to build your own business app with cool development hacks? We at Nimap Infotech have experienced Python developers to take your business one step closer to your goals. Hire Python developers to experience the best full-stack python web development services. Contact us to offer you the most optimized solutions for web and mobile technologies.