Mayank Patel
Oct 16, 2021
3 min read
Last updated Apr 18, 2024
Developers cannot decide on any backend technology depending on their choice because it must be as per the demand of the project. While planning for web app development, it may be possible that you find Node.JS beneficial for the project.
On the other hand, there are many other web development services that demand Python. Hence depending on the project demand, developers choose the required backend and front technology.
The ultimate aim is to execute the project on time by meeting the complete requirement.
In this blog, we will compare Node.JS Vs. Python for backend technology on various parameters. As a result, you will get to know which one is better and when. See, nothing can always be good or bad.
The same applies to these technical aspects as well. So let’s analyze Node.JS Vs. Python and see which is better.
Architecture is one of the important parameters that is always considered while choosing any backend technology. Hence, Architecture is our first parameter based on which we will compare Node.JS vs. Python.
If we focus on Architecture, here Node.JS will be preferred over Python.
Now we will compare the technologies based on their libraries and dev tools.
Hence based on libraries and development tools, Node.JS becomes the choice.
Node.JS Vs Python performance has been analyzed here and a final conclusion is drawn for better performance. Hence if you are planning for web app development, keep this parameter in mind.
Based on the performance, Node.JS wins here. It is fine, Python is simple to understand but speed is the concern here. So if performance is the parameter, the web application development services should go with Node.JS.
Now the comparison of Python and Node.JS is done on the basis of their scalability. So let’s have a look.
When scalability comes, Node.JS should be given preference for web app development.
As we have stated earlier, the selection of any technology or programming language is completely dependent upon the requirement of the project and the expectation of the client.
Being leading software development company, Linearloop always recommends analyzing the requirement properly. Afterward, you should select the best-suited backend technology that can either be Python or Node.JS. Let us know if you are looking to know more.
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
How Server side rendering (SSR) useful to improve lighthouse score?
Server-Side Rendering i.e. SSR is a process through which the server transfers data to the browsers in order to draw a layout. With the help of SSR, an application opens a web-page directly on the server rather than rendering it on browser of the system.
Without the implementation of SSR, an application will have a group of static files that slows down the loading speed of the application.
Here, we will explain the worth of rendering and how it plays an important role to improve the lighthouse score. Apart from that, SSR enhances the SEO score for a website, and hence it becomes more significant.
Basically, the search engines like Google, Yahoo, and Bing crawl a website in order to validate its authenticity. Also, while crawling they depend on the data that comes from the server. And also, they rely on the data that is appearing after the first 8 seconds.
The crawlers of the search engines run Javascript in order to get the data, and if it takes more time in fetching, the crawler ignores the data. Thus it compromises the performance of your web page or application.
Hence those who want excellent SEO performance should always render the website or application directly from the server.
Also, we all know, the present time is too competitive and people are expecting you to be smart enough. Hence, in order to win the race, you must go smart and make your online presence vibrant and solid.
Generally, server-side rendering generates a quick FP (First Paint) & FCP (First Contentful Paint). Because of the rendering on the server, there is no need to send lots of Javascript code to the client.
As a result, we get fast TTI (Time to Interactive). Moreover, the techniques become more useful where we have to incorporate a wide range of devices and network conditions.
So, we can say that, in response to the navigation, SSR generates the full HTML for a page. Also, the activity saves time by avoiding multiple round-trips in order to fetch data on the client-side.
If we talk about the internal process of SSR, here it goes. Based on the command of the user, the server generates a fully loaded page in which the application is rendered as raw CSS & HTML.
Afterward, the parsing of the application starts, and meanwhile rendering of DOM initializes. Once all these activities complete, users get a view in order to interact with the required interface.
Moreover, the most extraordinary concept of SSR is that it doesn’t allow the users to wait for the Javascript in order to load the entire content as the server executes it already.
Are you aware of the benefits of SSR? If not, we are here to explore the same. We have noticed people try to incorporate SSR but, they are not aware of its advantages. So here you go:
With the implementation of SSR, the productivity of the application or website increases. It loads the requested content on the server-side.
Also, it quickly opens the requested web page and thus offers a better user experience. As we all know, when a web page takes time to open, users become annoyed. And it is not the case here.
In spite of having low internet connectivity, SSR helps in loading the
requested page quickly. Moreover, despite having the older device, it offers proper assistance to load the requested page.
As we have mentioned earlier, SSR loads application or web pages even more quickly, and thus it helps in improvising the position of the page on various search engines.
It happens because search engines like Google give preference to the online product that opens quickly.
As we know, the era is technology-driven, and we all know that each device has its own configuration and worth. If we talk about client-side rendering, there is a lot of dependency on the capability of the device.
Also, we have experienced lots of cases where the devices were not capable to render the entire application in the given time. As a result, the quality of the application compromises.
Also, the bounce rate and loading time are directly proportional to each other that ultimately decreases the performance of the site.
However, SSR works differently because it allows the loading of data on the server-side that does not depend on the configuration of the hardware or devices.
Hence, server-side rendering is capable of delivering a consistent result that further brings more clients’ engagement on the page. As a result, the performance of the site increases.
Lighthouse: Before going into the deeper discussion, let’s understand what is Lighthouse? As per the definition of Google, the lighthouse is an open-source, automated tool that helps in improving the quality of your web pages.
Also, Lighthouse runs tests and share its audits that helps developer to make a website even more user-friendly.
Furthermore, Lighthouse plays an important role in examining the important elements of a website. If we focus on its result, and make required improvisation, the overall performance of a website improves.
With the help of Lighthouse, we can analyze our web pages on various parameters, and those are
The report of Lighthouse offers recommendations to optimize the web page on the required parameter.
For example: Suppose texts are not properly visible when Webfont loads. In such a case, Lighthouse will diagnose the problem and ask the user to take the required action to resolve the issue.
If you are browsing to know about the technologies that help you to set up SSR, this section is for you.
Here we are elaborating the two important leading technologies that will surely help in setting the SSR for your web pages and applications. Let have a quick look.
You must be aware that Next.Js is a framework that helps in creating SSR React applications. Moreover, the framework is also very useful to create a full backend of the applications because of being server-side.
Basically, the Next.Js is divided into 2 sections in which the former is “SSR” (Server-Side Rendering), and the latter is “The Backend Server”.
Being a server-side, the framework generates HTML and sends it to the client while, as a backend server it supports APIs.
Also, Next.Js has two modes to fetch data i.e. getServerSideProps and getInitialProp
The server-side rendering (pre-rendering)
There are two ways through which Next.Js renders the web pages. These are
As the name states, one can generate HTML only once on the server at run time. Also, the same HTML will be reused upon each coming request.
We recommend this approach where we need better performance and cache. Obviously, the method has some limitations because one can use it only at run time.
Under this process, the formation of HTML takes place on the server corresponding to each request of the client.
Here, the generated HTML will be dynamic in nature and relies on the data. Every time, it generates the new HTML by considering the data fetched.
Do you know, why should we prefer Nuxt.Js? If not, check out the reasons now. Nuxt.Js has certain capabilities that make it advantageous, and these are:
Using Vue with Nuxt.Js makes SSR implementation even more advantageous. Also, at the same time, we would suggest deciding the technology for SSR at the very beginning of the project otherwise things will become messy.
As we are dealing with technology so, we always are proactive and make plans prior to moving into the development
So, here we have mentioned the concept of SSR and how it helps in improving the Lighthouse score. We certainly hope that you have got an idea about the concept.
As the time is changing, we all should also use the best method in order to sustain our product in the market.
Linearloop is one of the progressive IT software development companies across the globe, and we always encourage people to follow the best practices of the technology. Feel free to write us if any query hits your mind.
Mayank Patel
May 17, 20217 min read
