Comparison : Python Vs Node.JS

Comparison : Python Vs Node.JS

You must choose the right programming language as per your need and specification as every programming language has their own sets of pros and cons . While comparing Node.JS and Python , choosing the one among two is the main problem which can be address by right application developer.

In this blog we are going to differentiate between Node.JS and Python on the basis of upsides and downsides of the two , and then suggesting you to select the best that fits for you .

Why Choosing Right Technology Matters ? 

You can get plenty of recommendation from your techie friends , developers and other people for choosing the technology , but you won’t know which option is best suited for you ? 

Every tech framework and programming language has been developed to meet some particular needs of project . So don’t try to choose the technology just because it is popular one . You should choose the one on the basis of these factors : 

  • Budget 
  • Geography 
  • Type of product 
  • Type of project 

These can be various other factors , but you should take each feature of your project details into consideration during selection of technology for app development . While this article is limited to choosing between Python and Node.JS for backend development , we will restrict our discussion for this only and thereon benefits arising out of it .

Python Vs Node.JS

Before discussing any further , let us explain why we are actually comparing . Python is programming language while Node.JS is not . When tasing about Python it is Javascript , while on th other hand for Javascript , Node.JS is runtime language .

The basis differentiation you can say between Python and Node.JS is they both use similar language for both backend and front end while you are writhing in Node.JS. Now lets have a detailed discussion between the two .

1. Speed And Performance 

Node.JS

Node.JS is faster in performance while comparing with Python as Javascript code in Node.JS in interpreted in V8 engine . Node.JS used the code outside website browser . 

This as a result will ought to give better performance and will be called as more resource efficient . This at the same time allows you to utilise features that you are even not allowed to use in browser for instance say TCP sockets .

Node.JS also facilitates non-blocking event-driven architecture that is capable of handling many request at a time , which increase the overall speed of code application . Another major benefit being it has single module catching enabled which eliminates app loading time and make web app more responsive .

Python

Although both Javascript and Python both are slower in comparison with compiled languages live Java as they are interpreted languages . However Python is in comparison gives slower performance as request in this is more slowly processed .

Do not choose Python if you are willing to build application that are aiming at higher performance and speed and is involved in performing complex calculations .

2. Scalability 

Node.JS

You might be willing to attract lots of users to use your app without any hinderance . That is what scalability is all about . Scalability is concern about app’s ability to assist large number of people with absolutely no errors in performance .

Since Node.JS is built on asynchronous architecture in one thread it is highly scalable . Any web application built on Node.JS framework is highly scalable . Hiring a Node.JS developer who have deep expertise in this field will add on value in your project .

Python

Python does not support asynchronous programming , but contains some tools which provides scalability accomplishment .

Since Node.JS offers higher scalability , it wins in this race .

3. Architecture  

Node.JS

Node.JS facilities  asynchronous input and output due to its event driven environment . This procedure starts as soon as any event happens and that is the reason no procedure can hinder the thread . Thereby it is preferable for building web games and chat apps .

Python 

Python has been designed in different manner . Python is being used for developing event-driven and asynchronous apps by using specific tools . Modules like asyncio helps in writing asynchronous codes in Python . However asyncio has not been created specifically in Python and hence extra hands on these is required .

Here again , Node.JS winds the race .

4. Learning Curve   

Node.JS

If you are good friend of Javascript , then tan tana !! , you can easily learn Node.JS framework . It is because of its easy learning process , Node.JS is on top most position in the list of most famous framework and acquires 49 % of the share . 

Python 

Python as we all know is not as popular as Node.JS is , and hence its syntax is unknown to python developers . 

However it offers cleaner code writing and developer actually don’t have to write lot of code lines . In Python , some code lines can aid you reach similar outcomes as in Node.JS .

In addition to above , Python is old language which also facilities tons of documents sufficient for any developer to learn . 

As per stack overflow , Python is most preferred language . Full stack developers prefers using this simple language for app development .

So conclusion is Python is easier to learn in comparison with Node.JS .

5 . Syntax 

Node.JS

The Syntax of Node.JS is similar to Javascript and hence if you are familiar with javascript , you are not likely to face any hurdles with Node.JS

Python 

The syntax of Python is very easy to learn and at the same time is also free of curly bracket also . That is the reason why code is easier to debug and read . If you are a software techies , then python code is very much easier to learn and understand .

As a conclusion , Python wins in this case .

6 . Appropriate projects 

Node.JS

Web app development companies generally do not prefer to use this javascript framework for large projects as it lacks clear coding standards . But yes small project can be well developed using this framework .

Python 

Python can be well used in wide range of project that may involve numerical computations , web application , to network programming and machine learning . It is known to be perfect programming language to perform various tasks .

Python also facilitates different frameworks that can be used in building backend like Pyramids , Flask and Django . In addition to it , it also consist of frameworks for frontend such as PySide or Tkinter .

Python offers accurate coding which proves perfect for large projects . Hire python developers to develop your next big projects .

7. Extensibility 

Node.JS

It is easily customisable and integrated with different tools available in marketplace . It can be extend using built in APIs for building DNS ad HTTP server . It can also be easily integrated with Babel which can help you in frontend development .

Log.io is proven useful in error fixation and project monitoring , which tools like Jasmine is being used in unit testing . In case you want to do module building , process management and data migrations , you can easily use Webpack , PM2 and Migrat .

You can also expand your hands on Node.JS using Node.JS frameworks like Restify , Nest , Fastify , Koa , Meteor , Hapi , Express and more .

Python 

Many Python frameworks is available in marketplace . You can even integrate Python with Sublime Text editor that also provides some extra syntax extension and editing feature .

Python is known to be Robot framework for performance of test automation . Some of the web development frameworks are CherryPy , Web2Py , Pyramid , Flask and Django .

As a conclusion both Python and Node.JS are extensible easily .

8. Error Handling 

Node.JS

In general , errors are always part of development process , and therefore transparency and feasibility is identification of error is what all is required in programming . Node.JS is efficient in error handling which may arise at time of coding the applications .

Python

Python takes less time than even Node.JS in finding errors and bugs . And hence you will surely not waste your time in error rectification in both Node.JS and Python for your web app development .

9. Libraries  

Node.JS

NPM , the Node Package Manager is accountable for handling packages and libraries in Node.JS . It has large inventories of software libraries . NPM at the same time is very easy to learn for  developers  with proper documentation .

Python 

PIP , ie Pip installs Python Handles packages and libraries in Python . PIP is very reliable and very easy to learn for developers .

Therefore both Python and Node.JS wins in case of libraries .

10 .  Data and Memory Intensive Apps 

Node.JS

This is known to be best available framework to build run-tine-intensive apps . For instance you can easily use this technology to build chat functionality in app . Node.JS development companies build apps which can manage data steaming , queued points and proxy efficiently .

Node.JS is used to develop heavy traffic websites like eCommerce stores or building apps utilising 3D graphics .

Python

Due to its lower run time performance , it can not be used for real-time apps development . We also do not recommend to use Python for memory-intensive apps .

Thereby , Node.JS wins in this scenario .

11. Universality  

Node.JS

Node.JS is widely being used for backend coding of web apps . However you can also make use of Javascript for front end development . Node.JS is being used for building web apps , hybrid apps , desktop apps as well as IoT and Cloud solutions .

The best part is this cross platform framework aids developer in coding single desktop app which can be used on Mac , Linux and Windows , which in turns helps in lower cost for overall projects .

Python

Due to its full stack nature , it is being used for both frontend and backend development . You can also run Python program as it is cross platform like Node.JS .

Both Mac and Linux have Python previously being installed , but on Windows , you have to actually install Python interpreter by your own . Python is know to give best performance on both desktop and  web development , but at the same time is not recommended for mobile computing .

That is the reason Python is not being used in mobile apps development , but its demand in AI and IoT solutions is increasing day by day .

Therefore more Python and Node.JS is similar in terms of universality .

12. Community 

Node.JS

Node.JS has large number of community developers who are active on community . Since this is old language , developers from all over the world are used to of using this technology 

Python 

Python is known to be more mature than Node.JS and is open source as well . Its user community has very large number of contributors with expertise levels of experience .

As a conclusion , both Node.JS and Python has large communities . 

Conclusion 

It impossible to state which programming language to use and which one is better . Every one of them has their own advantage and disadvantage and language selection depends on the type of project you are looking to built and then take the decision in appropriate manner .

Technological Advancement To Change Enterprise Systems

Technological Advancement That Will Revamp Enterprise Systems

As per the recent examination , global ERP market is expected to grow by 7 % CAGR . As a result enterprises are investing heavily on ERP software development at it is become one of the most indispensable platform .

Enterprises system helps business to ease on their day to day work by providing unique solution to automate their business . Technologies plays an important role in boosting importance of these application and it is continuously growing since beginning . Let’s look at the enterprise technology that will help enhancing enterprise application in upcoming years .

Technology Concepts Enhancing Enterprise Applications 

# Intelligence Enterprise System 

The introduction of artificial intelligence and machine learning has opened new world for developers and the ultimate aim of these technology is to benefit ERP software industry  . Machine learning concept is one of the major attraction among them .
Enterprise are actively taking part in implementation of these technology and it is predicted that by 2022 machine learning will play important role in this technological advancement .
On the other hands , business are handling huge amount of data . Thanks again to machine learning which enables predictive analysis to comprehend data faster and at the same time tracking of insights about data .
Another great advantage being data is churned to figure out potential issues even before its actual time , in case of system failure . This helps in saving of cost , increasing of productivity and timely recovery of data 

# Connected Enterprise Environment 

The next big technological advancement in this fields is Enterprise ” Internet Of Things ” that aids in connecting physical devices with computer which helps in contribution of process of business . Physical devices are connected by use of internet with computer to share real time insight of data flow . This helps in reduction of manual intervention of data and increasing overall work efficiency .
Internet of things bring down endless opportunities on the table with its thrilling concept . It helps sending control instruction to desired device on the basis of pre set business rules .
The density of integration comes from data . Big data analytics are also getting advance to obtain IoT based data sets which will become priceless for decision maker of enterprise .

# ERP Based On Cloud

Since the very beginning of 2019 , it has great upsurge in traction of cloud based ERP systems . There has been ever increasing demand for cloud based ERP as it helps enhancing business efficiency enhancement . The major factors that are encouraging cloud based ERP adoption are : 

Scalability :

SaaS based applications facilitates enterprise to have freedom to choose for their own custom needs . ERP based solution which are cloud based are easily to upscale as well as removal of unused modules in ERP at any point of time with ease .

Multi Tenancy :

As enterprise are growing globally their customer reach has also increased at tremendous stage . Therefore application which a single code base hosted centrally is in demand by all users . 

Cost Saving :

In cloud based ERP systems  there is actually no need of hardware and infrastructure set up . Cloud hot ERP are cheaper and accessible from any web browser with ease inspite of system configuration . SaaS modules also has upfront license fees as SaaS is generally based on subscription based module which is Pay as you go .
Apart from what has been discussed above , many new things are coming up every now and then in upcoming years .
Winklix can help you develop custom as well as customisation of SaaS based ERP platform in order to cope up with existing trend . Contact us now .

How Automobile Industry Is Influenced By IoT

iot app developer india

The Internet of Things is a technology that is making a buzz in every possible form it can . The IoT that we see in present world is just the glimpse of the technology , and there is lot more to come in near future . Automobile is one of those industry that has adopted IoT to discover many aspects from it . So the million dollar question arises here is what are the infinite possibilities with this technology and what can we expect in the near future ?

The Automobile-IoT In The Past

There are various automated and semi automated features that exists for over a decades in automobile industry . For instance , the GPS system that we use was introduced in late 60’s by General Motors – American Automotive Giant for its driver aid programme that was similar to the concept of modern GPS system , but was based on ground based infrared system rather than modern satellite system, .
Later in 90’s General Motors in association with OnStar was successfully able to implement navigation system in CDMA phone , which has now become an obsolete one .

The Smart Cars Of Today

From the age of using circuits to going digital in present world , drastic change has been seen . 21st century has aid us in seeing the technologies that we have only thought of . Navigation  , Cab Services , Entertainment are just some of the aspects of the modern technology in car . There has been endless possibilities once the software application have started connecting with mobile devices . It is the outcome of the technology war for the things with which we are living today , and the war is still going on to discover endless possibilities . The self driven car that no one have either think of has been bought into life in distant future and its creditability is improving day by day .
Automotive industry has got boost and the result of which is automated features and better access .

Self Driven Cars

There are few self driven cars available today like Google’s Waymo , Tesla cars and more . Tesla cars has recently announced that all its cars will be self driven which we can say is a huge step towards a house of automated products .

Many More Things Yet To Be Discovered

IoT has just taken its first step in the technology market , and it has to driven millions of kilometre ahead to harness its full functionality . The things done so far is remarkable and will help in creating more things in future . But this is the known fact that idea of self driven car will take over decades to come into effect in reality . IT industry is trying hard to build something great in near future .
In case you are looking for IoT app developer , you can right away contact Winklix .