Python VS NodeJs: A Detailed Comparison in 2021
Fig1: A Detailed Comparison in 2021 by Digikull
A Detailed Comparison in 2021 by Digikull When it comes to selecting which programming language or run time environment is best to learn as part of your education or in a project, it leaves most people in a dilemma. Beginners are stuck in the situation of knowing which language would help them succeed more in their future endeavors. But don’t worry! Digikull to your rescue!
If you are looking for a career in this field, a fun outlet of creativity, a hobby, or just enhancement of your skills, Python and NodeJs are two things that you would want to get your hands on! There is no right or wrong here as to which one would be the best for your skills, as overall development is more important. And here at Digikull, we have just the right course in store for you, that can uplift your skills in Data Analytics in Python!
As a beginner, choosing which programming language is best for you will depend on a few things like the advantages the language provides, the projects you choose to work on, who you would like to work for, and how easy the programming language actually is. Keeping these fresh ideas in mind, let us go on to look at what Digikull has to say about these two vital organs of the software development system Python and NodeJs so that you can decide which one you’d like to jump into for your overall development!
Let us first take a look at what NodeJs and Python really are?
What is NodeJs?
Fig2: Features of NodeJs
NodeJs is a server-side platform on Google Chrome’s JavaScript engine. With it, you can create real-time apps that are dependent on databases and can run across a pool of devices. All its applications are written in JavaScript. It is used to run server applications and can be run on operating systems like OS X, Linux, and Microsoft.
NodeJs is a runtime environment that is a popular software for any kind of project! NodeJs runs the V8 JavaScript engine, the core of Google Chrome, outside of the browser. This allows it to be high-performing.
What can you do with NodeJs?
It is most prominently used as a backend framework with a version 8 JavaScript engine providing maximum efficiency to the NodeJs codes. It is versatile as it can be used for backend and frontend development through the efficient building of scalable JavaScript applications. What we need to keep in mind is that, unlike Python, NodeJs is a run time environment, while Python is a programming language.
Features and Advantages of using NodeJs:
● NodeJs is based on a single-threaded model and event looping. This kind of event mechanism is advantageous for the server to respond in a non-blocking manner.
● NodeJs is developed with the V8 JavaScript Engine, literally making it the fastest code execution library.
● There is no buffering involved in NodeJs as applications output the data piece by piece.
● It is compatible with cross-platform and is self-reliant in execution.
● If you are well-versed with JavaScript, then NodeJs will be just a cakewalk. You can use the same language for backend and frontend development.
● It can process data in a simultaneous nature, and the output delivered is based on the user’s inputs.
● It offers an extensive global community outreach as it is an open course network.
● Node package manner (NPM) is a dynamic database of tools that developers can use for app and web development. Usage of NodeJs: We now know that NodeJs is a run-time environment that is built on JavaScript which helps to build network applications that are highly scalable in nature. It incorporates an event-driven, non-blocking I/O, which makes it the best option available to develop data-intensive and real-time applications. It is a prominent solution for developing chat apps or messaging apps. For heavy load apps or e-commerce sites, NodeJs is the best although it depends on the speed of processing. The apps that are most suitable for NodeJs are:
● I/O bound applications
● Data streaming applications
● Data-intensive and real-time applications (DIRT)
● JSON APIs based applications
● Single-page applications Popular Use Cases: NodeJs has been a part of the following renowned projects:
● LinkedIn uses Node.js for scalability and performance gains from its efficient nature.
● PayPal loves Node.js as it allows them to service over 200 million users across virtually every currency without any slurs.
● Uber runs on Node.js for its scalability and the ability to handle so many requests without breaking apart.
What is Python? What does Digikull’s Data Analytics in Python course entail?
Fig3: Python Programming
Language
The second most popular language on GitHub and one of the most popular languages for machine learning, Python has really been doing the rounds since its development. It is one of the best tools or programming languages for backend and frontend development. It can be used for all kinds of projects as it is purpose and object-oriented. It supports a variety of programming spectrums and is one of the best types of languages you should learn.
Python has a well-built syntax and functions with dynamic typing which makes it one of the best languages for scripts. It sanctions many varied programming patterns, with object-oriented programming, functional programming, and procedural styles. Python is simply an interpreted language that states that it runs at runtime and then converts into a computer-readable code.
We at Digikull, have designed our Data Analytics in Python course to provide you with the rollercoaster of benefits and fun this language possesses. Not only that, our course is created in such a way that you will go from a beginner to a paid professional in no time. With our industry experts’ modules and simple language, we make learning simple and easy! Our approach is hands-on to get our students the practical experience they require while trying to learn something new and apply it. Over 24 weeks, our course on Data Analytics in Python deals with the following topics:
1. Onboarding and Basics of Python with Python Data structures, Functions, and Methods.
2. Object-Oriented Programming (OOP) introduction, class objects attributes and methods, inheritance, polymorphism, and OOP examples.
3. Data Structure and Algorithms with problem-solving and CS with arrays, strings, recursion, search and sorting algorithms, stacks, queues, and linked lists.
4. Modules, packages, and decorators with packages, exceptional handling, comprehension, generators, advanced modules, and python decorators.
5. Introduction to Analytics with Python basics by describing data, reshaping it, and statistics.
6. Visualizing Data with scatter plots, distributions, line graphs, grids, and heat maps.
7. Data Manipulation with Numpy, math, indexing, filtering, statistics, aggregation, and saving data.
8. Data Analysis with Panda through series, data frame, combining, grouping, filtering, sorting, plotting, and more.
9. Improve performance with speed up file loading, column operations, reducing memory, and optimized data filtering.
10. Data Visualization using Matplotlib and how to draw plot elements, and optimize data filtering.
11. Analytics frameworks like SQL, Excel, and Tableau.
What can you do with Python?
With Python, you can develop apps for desktop, web, and mobile. It comes with an exhaustive set of libraries and packages that help to ease development. The flexible and convenient nature of Python makes it a suitable option for backend development, making it stand on a pedestal for the most used and popular programming language in the world.
Python being universal in nature can be used for the development of different kinds like AI, big databases, backend and frontend development, automation, and scientific computing processes. Most developers use it for complex projects that involve a whole lot of data, complicated calculations, and involvement of automation and AI.
Features and Advantages of using Python:
Fig4: Advantages of using Python programming language
● It accepts a low-level module inclusion for the Python interpreter. These modules allow programmers to add tools or customize them.
● Python gives interfaces for all major commercial databases.
● Python can support structured and functional programming methods.
● It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.
● It is a very easy language for beginners to write, read and understand.
● It is interpreted language and displays the errors when you’re typing the line.
● It has packages and modules in a large space open library which is one of its important features.
● While C++ is mid-level, Python is high-level. It is easy to figure out and does not require a lot of memory work. Usage of Python: Python has an extensive library of open-source data analysis tools, web frameworks, and testing instruments. Thus it involves an ecosystem of the largest programming community to ever exist. It is definitely an accessible, easy language for new programmers. Introductory resources are also available for it. It is taught in many universities and colleges and is used for working with friendly devices for starters like Raspberry Pi. The apps that are most suitable for Python are:
● E-commerce sites.
● Educational apps.
● Apps that involve a huge database.
● Web and internet development.
● Business applications. Popular Use Cases: Python has been a part of the following renowned projects: ● Instagram for backend service
● Google has been using Python since the beginning
● Spotify for backend services and data analysis
● Netflix uses Python as their developers are a huge fan of the programming language. Sounds cool right?
Now that we have a basic background understanding of Python as well as NodeJs, let us compare the two software processes based on different criteria! This will help you gain a better understanding of the competitors.
Fig5: Python
vs NodeJs- Which is better?
1. Speed and Performance:
Python is slower as compared to NodeJs because NodeJs has multi-threading which Python does not. Due to the V8 Java Engine, NodeJs has really shot up with its speed and efficient performance. To create real-time web solutions, you should most definitely go for NodeJs as it naturally is a better deliverable!
2. Technology:
Python involves up-to-date and trendy technology options like machine learning, IoT, and Data Science. MicroPython is a small-sized variant of Python that is used for IoT. Although NodeJs can be used to build IoT, it is more common and suitable for web apps. It totally depends on you as a programmer and your project as a whole, to know which software you would like to incorporate.
3. Universality:
NodeJs and Python can be both used for backend as well as front-end software development. They are both versatile and flexible in nature to adapt to the two. Python can be used for desktop and web development and NodeJs for cross-platform apps, IoT, web, and mobile apps.
4. Scalability:
Python does not have enough scalability which is a big drawback. It is definitely a slow programming language and does not have multithreading options. NodeJs is very naturally scalable as it has perfect runtime with cluster modules. It can handle the entire power of a database or machine.
Fig6: Python vs
NodeJs: Which one is better
5. Extensibility:
Python is extensible through frameworks like Django, web2py, and Flask. Extending features for C and C++ are also available. If Python has extensive frameworks, so does NodeJs with Derbyjs, Koajs, and Hapijs. All enable smooth application development.
6. Libraries:
Pip is the default package installer for Python that takes care of the packages and libraries. Python has more than 200 thousand packages through a range of different topics and categories to choose from. NodeJs has a node package manager with 1.3 million packages which definitely beats Pip at taking the crown for libraries.
7. Community:
Python being popular and common among programmers has a huge community to be a part of. You can post queries, get advice, and connect with the best of the best in this developer’s community. NodeJs also has a team of a friendly and active group of developers, who will help you whenever required with packages and career development.
What should you choose in 2021? Python or NodeJs?
Both Python and NodeJs are crucial in their own individual setups and are important organs of the web development and software development world. Programmers have their preferences when it comes to using both the software, depending on the project they take up, and what would cater better to their requirements. They have their own pros and cons that should be weighed before deciding on one specific software to work with. At the end of the day, it is you who decides what the best programming language is for you to incorporate into your learning environment. Analyze the primary functional requirements first, and you’re good to go!
Lastly, why should you choose Digikull for its Data Analytics in Python and other courses? Here are some features that have matched the expectations of millions of students and helped us stand out in the field of education:
Placements and Fees with ISA: With the best of placements in store for you, once you start earning, is when you pay 90% of the fee through ISA. The ISA contract establishes paying the tuition fees in a year or two after you join a company.
Job Assistance and Skill Development: In the beginning, we said that our courses can take you from a beginner to a paid professional. And we do not leave you astray even then. Once you have gained the correct expertise, we assist you with the best of jobs and placements. Additionally, we have workshops on personality development, communication skills, and mock interviews to help you flourish in your careers.
Hands-on Practical Experience: The last 2 months will provide you with a holistic hands-on learning experience where you build an innovative product with your team. Our training also comes with solving day-to-day customer problems so you get a complete hang of what you learn.
Digikull Backend Certification: The most crucial aspect after doing a course is receiving your certificate to validate your experience. Our Digikull Backend Certificate is going to be a valuable possession for you because of its industry relevance to top-notch companies. The predetermined criteria that all our students need to complete in order to receive the certificate will be completing all assignments, group work on creating a product, and passing the final Digikull test.
Expert Trainers: We have acquired only the finest trainers and teachers to impart the correct education to our students. They are experts having past experience in the field and expert industry knowledge to get all our students out into the real world. All our teachers are well equipped in the courses they teach, to nurture what is most needed and create the most enriching learning experience.
Learn Python Programming Language, here at Digikull with our course on Data Analytics in Python!
Now that you are well-aware of everything that goes behind learning Python and NodeJs, join us here at Digikull to learn the latest technology skills in all aspects. With us, you get an upper hand over everyone else which is enough incentive to be a part of our learning environment. Digikull has served a wide range of students from different backgrounds who long to inculcate some tech skills and you can choose the topic of your choice. All we need from you is a computer, good internet and a few hours of your spare time!
Our technology trainers come from an expert corporate background and are well-versed to share their information with you. Students of all backgrounds are welcome here as we do not look at your education, just a passion to learn digital technology is perfect for us! Saving the best for the last- you can also get placed in a company in the last few weeks of your course with us! So what are you waiting for?
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