Which Is Better To Learn Python Node.js Will Tell You the truth About IT
Every software programming language has its special features used to solve real-world problems and enhance the traditional process. When we develop a project or application, it is inevitable to compare one or more programming languages along with their frameworks, and libraries. The reason is what works for one feature by a particular programming language may not work for another feature. In this blog, we are going to highlight insights and differences between Python and Node.JS along with its specifications, pros and cons, and use cases.
What is Python?
Python is a popular programming language used for application development, web development, and data science process. It is easy to learn by the beginners as it has simple syntax and code. It enables the developer to write few lines of code for big tasks. The learning of basic python includes functions, data types, operators, statements, loops, variables, and libraries. Anyone can choose to learn python as their first programming language as it consists of simple English-based syntax and a vast range of libraries.
Specialized Implementation of Python
Python programming language implementation includes the following that make interest of using by developers from different platforms.
CPython: It is the reference and alternate implementation of programming language that is written in C and Python. CPython can be defined as a compiler and an interpreter as it compiles Python code into bytecode before interpreting the source code.
JPython: It is the implementation of Python programming language in Java Platform through scripting languages of Java and mainly used for developing applications like Java Class Libraries. JPython is also used to create tests for Java libraries.
Python for .Net: It uses CPython for managing .Net applications and libraries. Developers can seamlessly integrate Python with .Net for developing entire applications using Python programming language along with specialized services of the .Net framework.
IronPython: It is an alternate of Python for .Net with advanced implementation used to generate IL (Intermediate Language), and compiles code using .Net assemblies. The .Net developers implement IronPython as a fast and expressive scripting language that is used for developing, embedding, or debugging new applications.
PyPy: It is completely written in Python and supports numerous advanced features which can’t be found in Just in Time Compiler. The main goal of implementing PyPy is it encourages experimentation within the language and modifies the interpreter accordingly.
Pros and Cons of Python
Python is benefitted for the developers to maintain and enhance the program with less effort on write one and use the anywhere approach. It has the following advantages for the developers:
- Easy to learn and implement for desktop app, web app, and mobile app development
- Very productive way for writing code as easy syntax and readability
- Dynamically typed and flexible to use
- IoT and AI opportunities through libraries like Raspberry Pi, Django, and PyTorch
- Great for writing asynchronous codes without confusing resource contention
- Multiparadigm approach that supports Object-Oriented, Procedure-Oriented, and functional programming.
- Extensive libraries that contains well-executed codes for various purposes
- Extensible and embeddable with simplicity
- Portable, Interpreted, Free, and open-source availability
The implementation of python for our codes has some consequences and the following are the limitations that affect the development of an application.
- Speed limitations as python codes will be executed line by line.
- It is excellent for the server-side but rarely benefitted from client-side technology implementation.
- Low performance for mobile computing that leads to fewer developments for smartphone-based apps.
- Restrictions on designing as it is dynamically-typed and uses duck-typing that make way for run-time errors.
- Underdeveloped database access layers that can’t be applied frequently for developing apps for huge enterprises.
Use cases of Python
The applications of the Python programming language are increasing every day for developing from web apps to machine learning algorithms. The following real-world applications are proof that Python is dominating all other programming languages with its unique features.
- Web application development provides security, scalability, and convenience. It offers frameworks and libraries such as Django for easy development and quick deployment.
- Data Science process is easy with Python as it provides specialized libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. These libraries are used for extracting valuable insights from raw data and generating data visualization easily.
- Artificial Intelligence and Machine Learning are the most important use case of Python programming language as it is secure and stable for handling computations. SciPy, Keras, TensorFlow, NumPy, and Pandas are the most used libraries for developing Machine Learning and AI Models. It includes data analytics processes such as advanced computing, image processing, text processing, and data processing.
- Game Development is one of the fields implementing Python and it provides features for developers to create innovative levels, multiple requests, and a 3D game engine.
- IoT devices can be programmed by Python as it is easy to create embedded software, high-performance applications, and high-level computations. Python-based IoT devices are smart and even used in large-scale industries for moving big machines, inventory tracking, and track order processing.
- Web Scrapping will be easy through python programming and it is used to extract valuable customer information and smart decision-making. Job listing, detailed information, and price comparison are examples of web scrapping done by Python programming.
Apart from these, Python is used for developing desktop-based graphical user interfaces, enterprise applications, image recognition, text processing, and education programs, and so on.
Node.JS
Node.JS is a JavaScript implementation, language, and a frontend tool. It provides solutions for inadequacy of backend use that depends on inaccessible interfaces. It is an open-source, back-end, and cross-platform JavaScript runtime environment to execute JavaScript Code and run on the V8 engine. Node.JS is used for event-driven servers, non-blocking, back-end API services, and real-time push-based architectures. It is used to generate dynamic page content, collect data, modifies the database, and close files on the server.
Specialized concepts of Node.JS
Node.JS provides rich libraries for developing various JavaScript modules that simplify the web applications development with the following parts.
- Modules
- Debugger
- Console
- Cluster
- Add-ons
- Buffer
- Callbacks
- Crypto
- Error Handling
- Net
- Global
- Domain
- DNS
- Streaming
Pros and Cons of Node.JS
Node.JS has strengths and weaknesses for developing web applications. Following are the advantages of Node.JS used for JavaScript-based developments.
Fast-processing and event-based model
Asynchronous and Event-Driven as it provides the feature to the server move to next API after calling it without waiting for a response from previous call. V8 engine and non-blocking I/O are the reason for the fast-processing of the Node.JS framework.
Scalable technology for microservices
It breaks the application logic into small modules instead of creating a single core for development. Node.JS enables flexibility for the users to add more microservices that help in integrating additional features for developing basic web applications.
Rich Ecosystem
NPM (Node.JS Package Manager) serves as a marketplace with numerous tools for adapting to new technologies. It has 8 lakhs + libraries in the NPM registry to develop modern applications with huge potential and new solutions.
Strong Corporate Support
The production is constantly growing with Node.JS and PayPal, Uber, and Medium are the companies using Node.JS for various purposes.
Seamless JSON support
Node.JS is using JSON format for seamless communication and it will be done without converting between binary models and JavaScript. It will run as per the data transfer standards and it is the greatest advantage of Node.JS
Limitations of Node.JS
Node.JS has the following drawbacks for developing applications.
Performance issue due to heavy computational tasks
Node.JS is weak in processing the CPU-bound tasks. Once a heavy request coming to the event loop, Node.JS prepares all the CPU to process it first and respond to another request later. It leads to slow processing that makes an overall delay in the event loop.
Callback hell issue
It directly impacts the code quality through the nested callbacks that are in different loops and it makes the user difficult to understand for code maintenance.
Immaturity of tooling
Some of the tools that exist in the NPM registry are poor quality and without proper documentation or testing failures. It is even more difficult to find a good quality solution from the abundance of tools that fit perfectly for our application requirements.
The knowledge gap is increasing
Node.JS has a steep learning curve that engineers and developers are very few to meet the industry demands. Big companies are shortage of 37% node.js professionals to bridge the knowledge gap with expected skills and certifications.
Popular Use Cases of Node.JS
Node.JS is involved in the development process of web applications faster, efficient, and cross-functional along with low cost. The following are popular use cases of Node.JS.
- For building streaming-based Web Apps through numerous built-in interfaces and steady connection of new components to download whenever it requires.
- For building real-time collaboration tools used in project management, audio and video conferencing, co-browsing, and collaborative documents.
- For building complex and single-page applications to provide the best desktop app-like user experience through handling heavy I/O operations and asynchronous calls efficiently. It is also used to develop data-driven SPAs to transmit data to clients by serves as the server.
- For building real-time chat applications that are used in commercial sites and digital products through numerous fundamental functionalities. It is used to implement server-side events and push notifications that are widely used in online live chatbox.
- For building microservices architecture to communicate through REST or HTTP protocols with JSON data structure. It is the perfect technology to develop microservices architecture as it is easy to mount various instances with lightweight nature.
Detailed Comparison of Python and Node.JS
Conclusion
Node.JS and Python has its unique specification, advantages, disadvantages, and use cases that are adaptable by the application as per the requirements and features. When it comes to develop a real-time and asynchronous event-driven application, Node.JS will be good. Python is implemented all other development except real-time web apps that require streaming features. In-Depth understanding of the application requirement helps to choose the right tool that fastens the development and deployment. Learn required skills along with the utilization of this blog for your further comprehensive training and hands-on exposure to Python and Node.JS.
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