Python is also an interpreted language, which makes it a slow programming language. Scalability Python lags in scalability as it does not support multithreading and uses GIL (Global Interpreter Lock (GIL).Therefore, Python won’t be a good choice if your project often needs to recall data from the web servers. In comparison to Node.js, Python is slower as it does not support multithreading. In addition, Node.js enables caching fetched data which makes the apps responsive, reducing load time. Node.js executes the code outside the client’s browser, and it also provides a non-blocking architecture, hence offering high speed and performance. Node JS libraries and packages are handled by Node Package Manager or npm, with over 1.3 million well-documented and easy-to-use packages. Python has over 220K packages for various categories, including data science, image processing, calculations, etc. Libraries Pip is the default package handler for Python libraries and packages.On the other hand, Python has an architecture that’s synchronous and, therefore, is slow in performance and speed.īut, for parallel processing and event-driven projects in Python, developers can use libraries like Ayncio and modules like CPython, respectively. These features make Node.js the best pick for real-time web apps like chatbots and gaming applications. It can process thousands of concurrent requests without incurring thread context switching. Architecture Node.js is an event-driven runtime environment with the ability to perform non-blocking I/O operations.Node.js syntax is identical to JavaScript, and developers with previous experience in JavaScript often find it easy to understand Node.js. It requires fewer lines of code, making the code easy to debug and understand.Īny developer with a strong technical background can quickly start working with Python. The syntax of Python is pretty straightforward. Once those are clear, you can use these criteria to decide which backend technology fits your project best: Understanding the functional requirements is one of the most critical factors that determine the success of your project. Node.JS vs Python: Which one’s the best for your project? Industrial Light and Magic (ILM) opt for Python as it offers easy interoperability with C++ and C and helps in building efficient production pipelines & extending existing applications. Quora prefers Python due to its readability, ease of writing code, and availability of many frameworks such as Pylons, Django, etc. Spotify uses Python for performing data analysis, building backend services, and speeding up the development process. Google relies on Python as it offers simplicity, speed, and ease of deployment. Instagram uses Python for developing its backend and scaling service infrastructure. Uber relies on Node.js for building its matching systems as it provides faster deployment and processes enormous amounts of data efficiently, thus meeting Uber’s business requirements.ĮBay uses Node.js as it offers speed, streamlined development, and automation while handling I/O bound operations. PayPal prefers Node.js as it provides faster development, improves the average response time, and reduces the lines of code significantly. LinkedIn uses Node.js due to its performance efficiency and scalability. Netflix and Trello use Node.js to build single-page web applications. Python Pros and Cons Top five Node.JS use cases Node.JS vs Python: Comparing the pros, cons, and use cases Python developers are responsible for building the backend of the web, mobile, and desktop applications. It is also used as a scripting or glue language to connect the existing components. It is widely used for backend development and follows an object-oriented approach.įeatures like dynamic binding, built-in data structures, dynamic typing, etc., make Python a perfect choice for RAD (Rapid Application Development). Python is an interpreted, high-level, general-purpose programming language with dynamic semantics. Node JS developers make optimal use of this technology for server-side programming and performing non-blocking I/O operations. It is a cross-platform and asynchronous event-driven environment designed to build fast and scalable network applications. Node.js is an open-source, JavaScript runtime environment that runs on Chrome’s V8 engine and executes code outside the client’s web browser. It is this foundation that supports the client-side, user-facing elements of a web application. And thus, picking the right backend technology can be a gamechanger when building high-performance applications. This post compares two of the most sought-after backend technologies, Node.js vs Python, to help you make an informed decision while picking one for your project. The server-side or backend of an application is the core foundation of any project.
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