Node.js and Python are two viable options that you can use for your server-side application development. Both platforms allow you to create and oversee web applications of any multifaceted nature and usefulness. As an application proprietor, it is necessary for you to know the strengths and limits of each of these tools for you to know the best tool to use for your project. This means you have to acquaint yourself with instances where Node.js is more beneficial than Python, and the other way around.
Python, on the other hand, is a high-level, object-oriented programming language which concentrates on efficiency. It underpins various programming standards, which settles on it an extraordinary decision for an assortment of business assignments.
Advantages of Node.js
- Quick Server-Side Solution
Despite the fact that Node.js works only for just a single string, its occasion based design and non-blocking I/O implies that a solitary CPU and PC memory can be used maximally, thereby increasing the efficiency of the servers
- One Language on Both the Front-and the Back-End
- Adaptable arrangement
Its single thread nature notwithstanding, Node.js is very versatile as a result of its standard library. Extra forms of Node.js can be created – using abstractions such as Node clusters and workers – to ease the workload of your web application.
Disadvantages of Node.js
Less Effective with CPU-Concentrated Tasks
Node.js, being event-driven, its functionality is reduced when operations concentrated on CPU are concerned. Despite its versatility, there are some hitches and inadequacies when performing tasks like graphical operations or resizing pictures. Fortunately, it is possible to line up new tasks in order to contain this shortcoming; however, you will have to create extra workers and introduce new layers into your Node.js application.
Strengths of Python
Python’s, being short but detailed language structure, you can think easily and make applications which are very easy for others to keep up and upgrade. It is highly flexible and you do not need to construct long codes for it to be comprehensive. In addition, Python is very simple to learn, it enables experienced programmers to easily delve your Python tasks and implement their experience in other programming languages.
- Quick Development
On account of perfect, succinct and straightforward punctuation, creating in Python is a lot quicker than in Java or C. Most specialists concede that building up a Python application is around 5 to multiple times quicker than building up a similar application in Java. The time reserve funds are significantly more noteworthy whenever contrasted with C and C++.
- Rich Standard Library and Ecosystem
A lot of the functions that are necessary for the smooth running of Python are in-built. It can perform the creation of temp files, the deletion of a directory, logging etc. On the off chance that Python’s standard library comes up short on the usefulness you need in the same manner as Node.js, Python has created environment of modules to look over.
Pitfalls of Python
- Nonattendance from Mobile Computing and Browsers
Python works on a lot of PC platforms and servers but does not adequately support mobile browsers. The implication of this is that you will need at least two languages to develop your web application, which can make communication between the front-end and back-end groups tedious.
- Absence of Support for DSLs (Domain-explicit Languages)