Today, we will talk at length about which is better for your project- Node.js vs Python. We will compare the two, while considering important project parameters, in order to help you make a quick choice.

Node.js vs Python – Performance

When you are developing a project for your business, whether an application or a website, the performance of the application is of utmost importance. It is the performance of the application that will gain you maximum traction and visibility, improving the engagement levels.

Performance is a user-centric parameter and one of the most important concerns when developing your startup or project from the user’s perspective.

The performance is also the speed of the application’s response, and how fast the application is able to execute the code. When you compare the two frameworks, Python and Node.js, you see that Node.js is a faster and high-performance framework. The Chrome V8 engine on which the Node.js development works, is powerful and fast, which is also the main reason for the quick response offered by Node.

Whether it is a high content streaming website like NetFlix or a real-time chat application, the performance and response time are important, which is why they have opted to work with Node.js. Again, when it comes to memory intensive applications, Python’s response time may not be that good. So, it is a good idea to use Node.js in place of Python in real-time and memory intensive applications.

Scalability & Load Handling

Both the technologies are firmly used for backend development, and scalability of the servers, as well as scalability in terms of load handling, is of importance when choosing the framework.

The application should be able to handle multiple concurrent requests, easily handle the increase in the requests and scale without compromising the performance. If your framework can handle this, then it is the perfect solution for your needs.

Node.js with its asynchronous architecture for I/O as well as the event looping structure can manage the scalability with ease in case of simple applications. If you are dealing with complex applications. Node.js development requires knowledge and careful engineering of the processes.

Python development supports scalability too, though not as easily as Node.js and without the asynchronous processing. The framework has tools that can be used if you want to improve the concurrent handling for your application.

The Learning Curve

This is a significant parameter, one that involves the speed of development and the time-to-market of the application. Node.js is run using the JavaScript environment, which means you simply need to acquire the knowledge of JavaScript to get started with this technology.

In certain cases, you are not aware of JavaScript, which is when you should turn to Python. It has a cleaner syntax and better coding facility, which means you don’t need prior coding knowledge to get started with this language.

There is an extensive documentation and a strong community available, should you be stuck anywhere, for both Python and Node.js.

Both technologies are strong and have a good presence of developers, so if you want to get a strong team in place, both technologies are good to go. However, if you want to shorten the learning curve and get access to easier coding habits, then Python is your choice.

Error Handling Capability

This is the final comparison parameter and an important one at that. The programming language should offer an easy and transparent method of handling errors. Both the technologies are good at catching errors while running the program and fixing them at the same time. The error handling capacity for both of them is really good.

Summing up

When it comes to extensive and real-time applications, Node.js is your go-to framework, while when you are looking for a technology that is easy to setup and quick to run, you should go with Python.

If you have an idea and wish to get started with development, connect with Coruscate. We will validate your idea, and follow a proper execution process to get your application launched quickly.

Note: We do not make clones of any exact application, clone means to us is how better we can execute your app idea with existing app features and experience.

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Choosing a language to code your website or application is always the most difficult choice, one that you have to make after thinking through all the possible pros and cons.

Python is one of the finest and most sought-after programming languages in the modern world, owing to its simplicity and re-usability components. This framework has changed how developers code, and how they design software applications.

Some of the top business websites have been developed using this framework. Here, we will take you through all the applications and websites for the top companies that have been developed using Python and the reason behind using this framework.

Google

How many of you knew this already? Google has been a great supporter of this framework since its inception, and for all the right reasons.

Google decided to use C++ where they needed more memory control while decided to use Python for better maintenance and accelerated deployment of the needs.

Most of the scripts that were written in Perl or Bash were later recorded into Python for the acceleration in response and flexibility it offers. They even converted the web-crawling spider into Python for the simplicity of coding and readability they required.

Python is the primary official language for the company followed by C++ and Java, which are used in production.

Facebook

Python is the third and one of the most popular programming languages used by this social media platform. A total of 5000 commits are being managed by this language along with other services and infrastructure including binary distribution, hardware imaging and operational automation.

Why Facebook opted for Python?

One of the main reasons being the easy maintenance that the coding allows.

Secondly, the production engineers don’t need to spend their time writing the code, which allows them more time to produce improvements and make live changes in the framework, thus accelerating deployment of the applications.

The use of this programming language also allows easy and efficient scalability of the application. The programming language manages multiple services within infrastructure management such as TOR-config which is aimed at handling network switching setup as well as imaging. It also manages FBOSS as well as scheduling and execution of the maintenance work.

Spotify

Spotify is a well-known music streaming application, and it uses Python to ensure quick and easy streaming of the music to the users. The increased responsiveness of the application is wholly due to the programming language on which it has been built.

ZeroMQ is the networking library and framework, which has been written using Python, which allows for the back-end communication of this music streaming solution. No wonder, the app has efficiently managed its responsiveness.

The development i.e. writing and coding is faster with Python. This programming language with its fast event loop and asynchronous API, allows faster updates to the Spotify platform.

Lugi, the Python module that syncs with Hadoop is used to leverage on the data available with Spotify to make personalized recommendations.

The effectiveness and efficiency of the platform is because it uses 6k individual Python processes that work in sync with the nodes along Hadoop clusters.

Quora

Quora is used by millions, as it offers the best answers generated by users for the questions you may have. The founder of the platform Charlie Cheever had narrowed their programming language choices to Python, C#, Java and Scala, and finally chose Python for its improved ability towards accelerating both development and deployment.

However, they did not choose Python to develop the entire application, just where they felt the need for the language. C++ was used for most of the critical aspects of the application. They used a combination of Java and Python for improving the server-client interactions for reduced page loads.

Dropbox

The efficiency of Dropbox is majorly because of the inclusion of Python framework. The company had the creator of Dropbox officially appointed in their company as the engineer for the language, as per the terms stated by the creator himself.

With the help of Python, the company was able to include the data-store sharing capabilities to their community within the first year.

They have an API coded in Python, which allows you to check the libraries and other proprietaries of the company. The client-side interface for Dropbox has been coded using Python.

Summing up

Python has also been ably used in Netflix, and YouTube, and has allowed live streaming abilities for both the applications.

If you want to develop a real-time application or a client-server interaction interface, you can develop a holistic solution using Python. We have successfully delivered a number of solution using this programming language. Connect with us for Python application development services.

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