6/24/2023 0 Comments Nodejs vs pythonThe framework uses asynchronous, event-driven input and output and Google Chrome’s V8 engine. In contrast with Python, NodeJs is a JavaScript-Based runtime environment used for server-side development. Further, Python doesn’t go well with the native components of the mobile, which makes it more sluggish. Since the performance of web apps is low on desktops, it’s likely to take a hit on mobile as the backend by design is slow. The speed and performance of Python-based apps are more problematic when it comes to mobile. So, if you want your application to handle multiple operations, Python is not the right choice to offer speed, performance, and user experience. NodeJS performs well in this aspect and this article from Chad Dotson perfectly outlines the same. So, it might not be the first choice if your goal is to get the speed and impeccable performance out of your apps. Python is great for everything else, still, it lacks in many aspects such as performance. Here are the few drawbacks of Python: Slow Speed Python offers great advantages, however, it’s still not perfect in certain areas. Tools such as Scikit-learn, Torch, TensorFlow, NLTK, Gensim, Django, Flask, and others are excessively used for machine learning, language processing, and web development. This makes Python the most-suited language for developing apps for AI, ML, data science, and many other fields as well. Moreover, the addition of new packages and add-ons every once in a while keeps the language relevant today even though it has an old ecosystem. Released back in 1991, Python has gained a huge loyal fanbase due to its ability to resolve multiple development challenges. Not only that, Python’s code is worded simply and English keywords are used more frequently than mathematical annotations, which makes it easy to read and understand. Simple SyntaxĬompared to other programming languages, Python has a simple syntax and uses fewer code lines for low code size. Further, add-ons, libraries, and other packages offer nearly everything needed for simple to complicated computations. This enables businesses with faster deployment and time-to-market for their web apps. Leveraging Python’s dynamics and object-oriented syntax, developers can quickly code out complex-level apps easily. Still, there are certain limitations and many more great things in store, so let’s have a look: Pros of Python Quick Build & Deployment And around 40% use it in combination with JavaScript, which illustrates how common and powerful Python is for web backend development.Īnother great thing about Python is its syntax and ecosystem fit well with the current market demands. Python as a Backend TechnologyĪs per Jetbrains’ Python Developers Survey, 85% of the developers use Python as the main programming language. Now, we know the criteria, let’s move on to understand each technology with its pros and cons to get a better perspective. Not all technologies deliver everything, thus, we must meet at the middle ground and pick out the one that’s higher on our priority list. The ideal choice here is what packs high security, speed, responsiveness, interactivity, and many others. Performance Requirements: When it comes to performance, no tool is perfect to meet all ends.Available Resources: Backend tech stack choice depends on the skills set and technologies worked upon previously by development/outsourcing providers.Here, competitor analysis, market trends, and user expectations must be taken into consideration. static or interactive, data-heavy, or interface-focused to be delivered dictates the backend tech stack. Product to Deliver: The kind of software product i.g.Types of software apps like database, business app, SaaS, multimedia/streaming app, graphic app, and others define the nature and intensity for backend development. Type of a Project: What kind of software project are we dealing with here matters a lot.So, let’s get started: Criteria for Selecting Backend Tech-Stack from NodeJs vs Python However, making this choice is vital to determine how the software application will operate, function, and scale up to meet user demands.Įxperts at ashutec present our opinion on both the backend technology, explain their advantages and drawbacks along with providing you with criteria to choose between the two to end the dilemma forever. Many times, developers and even product owners go through the common dilemma of choosing the best backend development tool or language out of NodeJs and Python. Without in-depth knowledge of the project, it becomes hard to come to any conclusion. Selection of backend development tech stack requires upfront decisions. Despite having years of experience in backend development, many programmers and development firms fail to make suitable technology decisions.
0 Comments
Leave a Reply. |