Mayank Patel
Aug 25, 2022
4 min read
Last updated Apr 15, 2025
Node.js is one of the demanding technologies in which web applications are developed. Technology is the preferred one to create real-time applications. And being a Node.js development company in India, today we will discuss how to build real-time applications with Node.js.
Further, we have already explained the best Nodejs server-side framework for 2022 and if you are looking to know about it, check out our blog now.
In this blog, our intent will revolve around the way a real-time application is developed in Node.js. Do you know the examples of real-time applications? It is like UBER where all the executions are in real-time.
We make bookings, track drivers, make online payments, etc. All these activities are done in real-time.
Applications like LinkedIn, Uber, and Netflix are developed in Node.js. Do you know the reasons for the adoption of Node.js? The advantages of Node.js are as follows:
Further, Node.js enables quick processing of data, convenient analysis along with faster deployment of code. This is the basic concept of Node.js and now we will get to know the development of real-time applications in Node.js.
Moreover, if you are looking to hire Node.js developers in India & USA, Linearloop is your exclusive service partner.
Real-time applications are always challenging in terms of their scalability. Hence it should be given preference at the time of development. Each request of the real-time applications database queries needs to be refreshed every 5 seconds.
The concept works well when we have 10 users but sometimes it collapses with 100 users approximately. Hence, developers need to choose the right toolset in order to develop real-time applications.
Also, from the scalability point of view, the professionals should design a proper flow of data, integration points, and events. All such problems are eliminated with Node.js because it facilitates solutions to maintain the scalability of the project.
Furthermore, the leading tech giants like Paypal, Walmart, LinkedIn, and Uber are following Node.js because the technology has given them proper scalability.
Also read: Fitness App Development Cost Guide
Whenever we develop any application, security matters the most. As we know, in this technical era, we are dealing with positives as well as negatives. Hence we should never leave any gap that spoils the application.
Hence, high-level security is always important. We can understand it with an example. Single Sign-On (SSO) is an integrated part of the streaming applications and it must satisfy existing security layers.
Developers must ensure data protection along with data encryption, algorithms, and data in motion. Node.js based real-time applications follow security protocol.
Furthermore, we are an experienced Node.js development company in India and USA and if you are looking for any kind of assistance, feel free to connect.
The concept of real-time applications revolves around the streaming of data in order to execute the overall functionality. The streaming of data will either be on-premises or cloud.
Hence while creating real-time applications in Node.js we must have data-driven development frameworks, schemas, and data format.
Considering our years of experience in Node.js, we recommend following the concepts. Also, the technical experts use the concept to get insights, analyze the trend and develop the algorithm accordingly.
As a result, the operations of real-time applications enhance along with the business value. Also, the ultimate aim behind any business application is to save effort with maximum possible deliveries.
Depending on the statistics for the year 2020, the watching hours of live streaming content is approximately 480 billion hours. And the majority of the views are from mobile devices.
And with such dynamic usage, the real-time applications demand smart development methodologies. Hence the experts, data scientists, and data analytics study the entire concept carefully because it affects the entire adoption of the environment.
From reading the above concept, you must have understood the flow and importance of data in streaming applications. And the streaming data is a series of time-stamped packets.
This is the reason, the technical team needs tools so that they can process the time-series data conveniently.
The process of execution of workload decides the scalability of the application. And when we are talking about scalability, Node.js should be considered, especially for real-time applications.
Here we will let you know the architecture of Node.js that enhances the tolerance to the failure of the real-time applications. Because of this reason, Node.js is counted as the reliable and best programming language to develop real-time applications.
The architecture has an event-driven approach along with asynchronous nature because of which Node.js is the most preferred technology to develop real-time applications. In order to handle multiple clients, the real-time applications of Node.js use event loop architecture.
As we know, some other technologies like Spring MVC, JSP, ASP.NET, JQuery, AJAX, etc are also preferred but their approach of request-response architecture is multi-threaded but Node.js is single-threaded.
And being single-threaded, Node.js is preferred because its flexibility to manage concurrent clients is always more. Further being single-threaded, it uses fewer memory and resources. So, when it comes to develop real-time application, Node.js is favored.
So, while developing a real-time application the developers must pay attention to the streaming of data. Further, from Linearloop you can hire Node.js developers in India & USA as well.
Moreover, if you are looking to know about the frameworks of Node.js, don’t forget to read our blog best Nodejs server-side framework for 2022.
Also, we have delivered lots of Node.js projects across the globe and hence working on your requirement will be manageable for us. Also, we are ready with full support, so need not worry. You are with the best Node.js development in India.
Some Etiquette That Every Backend Engineer Should Follow
In the frenzied realm of digital product engineering, backend engineers emerge as the quiet champions, tirelessly working behind the scenes to guarantee that applications operate seamlessly while maximizing efficiency. Within Linearloop, we fully appreciate the indispensable contributions these specialists make in crafting resilient systems that fuel contemporary applications.
Yet, mere technical expertise falls short; embracing backend engineer etiquette stands as paramount for nurturing a thriving work atmosphere and securing fruitful project achievements. This article embarks on an exploration of the fundamental etiquette that every backend engineer ought to embrace, underscoring the significance of communication, teamwork, and professionalism, along with an unending quest for knowledge.
Backend engineer etiquette comprises a collection of professional standards plus practices that shape how these developers engage with their peers while navigating their tasks. It's all about fostering a culture rich in respect, cooperation, and responsibility amongst development teams.
Adhering to these principles enables backend engineers to boost their effectiveness, nurture more robust connections with colleagues, and positively influence project achievements. Apart from this, it can guide businesses to create a culture of ownership when they hire backend engineer.
Navigating the realm of backend development proves intricate, often demanding sophisticated problem-solving skills. Lapses in etiquette may sow seeds of confusion, diminish productivity, and cultivate a toxic work atmosphere.
On the flip side, a dedication to professional conduct can usher in enhanced communication, elevated collaboration, and superior code quality. In an industry where the backend developer skills evolve ceaselessly, upholding a solid grounding in etiquette facilitates engineers' ability to adapt swiftly while flourishing.
Also read: What Is Back End Developer? Roles & Responsibilities of Back End Developer?
Effective communication lies at the core of thriving backend engineering endeavors. Backend engineers need the ability to express their concepts with precision while engaging in meaningful discourse with team members spanning diverse disciplines.
The partnership between frontend and backend developers remains essential for crafting seamless user experiences. Backend engineers must grasp the importance of their role in enhancing the functionality of the front end.
Code reviews form a cornerstone of the software development journey. They offer invaluable opportunities for learning, sharing best practices, and enhancing code quality.
Guidelines for Conducting Effective Code Reviews
Also Read: Node.js vs Python: Which Backend Technology to Choose in 2021?
Receiving feedback stands as a cornerstone of professional development for backend engineers. The manner in which one responds to criticism can substantially shape their career path.
Professionalism encompasses myriad behaviors that help cultivate a constructive work atmosphere.
The technology landscape perpetually shifts, making ongoing education vital for backend engineers striving to stay competitive within their domain.
Maintaining a healthy balance between work and personal life is essential for sustained success as a backend engineer.
Cultivating relationships within the tech community can profoundly influence career advancement opportunities for backend engineers.
Also Read: NodeJS vs PHP: Which One is Better for Backend Development
In summary, following proper etiquette as a backend engineer stands as crucial not just for personal achievements but also for nurturing positive relationships within development teams at organizations like Linearloop—a firm devoted to providing high-quality software solutions through collaboration among talented professionals dedicated to excellence in every facet of their work processes!
By adopting effective communication tactics, collaborating harmoniously with frontend developers, upholding professionalism, prioritizing continuous learning, respecting work-life balance, and networking strategically, all these components play a vital role in establishing oneself as an outstanding member within any tech environment!
If you seek to hire backend developers who embody these principles while delivering remarkable outcomes—don’t hesitate to reach out! Together, we can create innovative solutions tailored specifically to meet your business requirements! Seize the opportunity to collaborate with top-tier talent who grasp not only technical demands but also the essential elements of backend engineer etiquette, ensuring your projects thrive from beginning to end!
Mayank Patel
Sep 30, 20246 min read
Maximize Productivity with These Top Python IDEs and Code Editors
Python is a leading open-source, general-purpose, and high-level programming language. It is popular all over the world due to its versatility and ease of use.
Python is widely used today for developing websites, software, automating tasks, data visualization, data analysis, and more. Its ease of learning has also attracted many non-programmers to start learning it.
Whether you're an experienced developer or a beginner, it doesn't matter; you can utilize various text editors for coding in Python. Many text editors offer additional tools for code generation, and some Python-specific editors are effective.
Programmers can use Python code editors and integrated development environments (IDEs), or Python IDEs. You can use different types of tools to improve your productivity and efficiency while working with Python programming language.
A software application that provides different types of all-inclusive facilities to developers for software development is known as Integrated Development Environment (IDE). It includes a code editor, debugger, and various build automation tools.
The developers prefer to use Python IDEs because they improve productivity by providing features like intelligent code completion, syntax highlighting, version control integration, testing, and easy debugging processes.
A code editor is also known as a lightweight tool that developers use to edit and write fresh code. It provides some of the basic features like syntax highlighting, code formatting, and simple debugging capabilities.
Unlike Python IDEs, code editors concentrate solely on editing and managing code, thereby enhancing speed and efficiency for agile coding and lightweight projects.
Explore the list of best code editors for Python:
1. Visual Studio Code: Visual Studio Code is also known as VS code and it is a free, open-source code editor developed by Microsoft. This editor is written in an electronic language and it works smoothly on operating systems (OS) like Windows, macOS, Linux, and many more. It is popular among developers due to its versatility and extensive range of features.
a) Extensibility: It offers thousands of extensions that can be used to add various functionalities.
b) IntelliSense: This feature helps to do smart code completions, syntax highlighting, and error detection.
c) Built-In Git Integration: It allows you smooth version control with Git and GitHub.
d) Integrated Terminal: It is one of the main features of VS code as you can run terminal commands directly within the editor.
e) Debugging: Use the most powerful debugging tools with breakpoints, call stacks, and an interactive console.
2. Sublime Text: Sublime Text is a widely used text editor that is known for its speed, reliability, and rich set of features. It provides support for different types of programming languages including Python. Sublime Text is a perfect choice for you because it comes with powerful interfaces and text editing features.
a) Goto Anything: With this functionality, you can quickly navigate to files, symbols, and lines.
b) Command Palette: Easily access different types of commands and features using a simple keyboard shortcut.
c) Multiple Selections: You can make multiple changes simultaneously.
d) Split Editing: Get the option to view and edit multiple files side by side.
e) Package Control: Instantly install and manage different types of packages & extensions.
3. Vim: Vim is an open-source and free terminal-based code editor that can be used on operating systems (OS) like macOS, UNIX, and Windows. It is a lightweight code editor that can be customized through different types of plugins and extensions. Vim includes some of the advanced features and commands that can help to easily navigate and edit the text.
a) Extensive Plugin System: Different types of plugins are available on platforms like Vim-Plug, Pathogen, and Vundle to extend Vim's functionality.
b) Syntax Highlighting: It provides support for syntax highlighting for many programming languages to improve code readability and reduce errors.
c) Modal Editing: It uses different modes like insert, normal, visual, and command to separate editing tasks and improve productivity.
4. Atom: Atom is a well-known open-source and free code editor that is being developed by GitHub. Atom code editor is a preferred choice among developers who want to use a tool that can be customized according to their requirements.
a) Package Manager: With the help of this package manager, you can easily browse and install new packages in the Atom code editor.
b) Themes: Customize the look and feel as it comes with various options of themes.
c) Teletype: The developers can easily collaborate in real-time.
d) Smart Autocomplete: It provides relevant suggestions while you are writing the code.
Read More: What should you look for before hiring Python developers?
Explore the list of top Python IDE tools that you can learn more about:
1. PyCharm: PyCharm is a robust and fully-featured IDE that is developed by JetBrains and is specifically designed for Python development. There are two versions of PyCharm available. One is the free community edition and the other one is the fully-featured professional edition that is paid. It is an IDE that can be used on operating systems (OS) like Linux, macOS, and Windows.
a) Intelligent Code Assistance: It offers some of the most advanced code completion, real-time error checking, and powerful refactoring tools.
b) Integrated Tools: PyCharm provides support for web development frameworks like Django, Flask, and database management.
c) Debugger and Test Runner: This IDE includes a graphical debugger and an integrated test runner to easily handle the code.
d) Version Control Integration: You can smoothly integrate PyCharm with Git, SVN, Mercurial, and other version control systems.
2. Spyder: Spyder is an open-source and free IDE that is designed to handle scientific computing and data analysis. It is also one of the most lightweight IDEs for Python development and it is also known as Scientific Python Development IDE. Spyder works smoothly with popular Python packages like NumPy, SciPy, and Matplotlib.
a) Variable Explorer: You can easily inspect different types of variables and data frames with user-friendly interfaces.
b) Integrated IPython Console: Use this functionality to execute the code more interactively and visualize final results.
c) Editor with Syntax Highlighting: You can enjoy its code completion and real-time analysis functionalities.
d) Plotting Support: It provides an inline plotting facility so that you can enjoy immediate data visualization of the code that you wrote.
3. Thonny: Thonny is an open-source, free, lightweight, and simple IDE that is specifically designed for developers who are learning Python. It also helps the developers to get insights into basic Python operations. Thonny is also known for providing a clean and straightforward interface with plenty of features to offer an easy learning curve.
a) Simple Interface: This IDE’s minimalist design ensures that it will reduce distractions while writing Python code.
b) Step-through Debugger: This functionality helps beginners to understand how code executes.
c) Variable Explorer: You can inspect different types of variables and their values during the execution of the code.
d) Syntax Highlighting: It provides basic syntax highlighting which helps to improve the readability of the code.
e) Built-In Python Shell: This IDE allows you to execute Python commands interactively.
4. Jupyter Notebook: Jupyter Notebook is an open-source web application that is mainly used for machine learning and data science. The developers prefer to use this IDE because it allows you to create and share documents containing live code, equations, visualizations, and narrative text.
a) Interactive Computing: You can execute the code in real time and see results instantly while using Jupyter Notebook IDE.
b) Rich Media: It provides support for embedding visualizations, equations, and other rich media.
c) Notebook Sharing: Now you can easily share notebooks via GitHub or any other platform.
d) Kernel Support: One of the main functionalities of this IDE is that it provides support for multiple programming languages through various kernels.
Choosing between a code editor and an Integrated Development Environment (IDE) can be tough but it depends on your development requirements and preferences. Python code editors like Visual Studio Code (VS) and Sublime Text are fast and lightweight and offer some of the necessary features like syntax highlighting, code completion, basic debugging, etc. They are highly customizable and preferred choice for quick tasks, scripting, and smaller projects.
While Python IDEs like PyCharm and Spyder provide an all-inclusive set of tools like advanced debugging, integrated version control, project management features, and many more. They are the best choice to handle large and complex projects that can improve productivity by providing a flawless development environment.
The choice depends upon the complexity of your project and specific workflows but if you want a clean and fast tool for coding then Python code editors are perfect for you. However, if you want a robust environment with extensive features for large-scale development then Python IDE tools are an ideal option for you.
Mayank Patel
Jun 25, 20245 min read
