If you’re an app developer considering your next project, you might be wondering which tool to choose.
The primary requirement from a programming tool is performance. This defines the speed of your application response and directly affects how fast your code is executed. Node is significantly faster being based on Chrome’s V8 which is a powerful engine, making it a much better choice for real-time applications, for example, those involving chat functionality.
What could this mean in practical terms for you?
Node.js creates a single-thread asynchronous architecture with I/O operations completed outside the thread and not blocking it. This guarantees smooth scalability within simple web apps, however, development of complex applications with many concurrent processes requires in-depth knowledge, attention and careful engineering research. Python, in turn, does not support asynchronous programming by default, but it supports co-routines with which asynchronous processing can be easily achieved.
Easiness and transparency of error handling for Python & Node.js
This can also be a critical issue. Both languages deal well with throwing and catching exceptions, errors occurring during code execution. Though, the general notion is that handling exceptions in Python is easier and takes less time to debug and fix errors.
The choice of technology for a project depends on numerous factors including application type, industry sector, performance requirements, developers experience etc. Project managers must consider the speed of development, the need for scalability, and application’s type. For fast development of CPU-heavy applications or the development of IoT back-end, go for Python. Conversely, choose Node.js for SPAs and other I/O heavy solutions. However, if you know neither of them, learning Python may be easier for its cleaner syntax and more compact code. Python requires fewer lines of code than Node.js to reach the same result. Make a smart choice for the solid foundation of your applications.