Choosing the right programming language for your work is a huge priority before starting to write your first lines of code. There are plenty of languages for you to choose from. And it's easy to learn with plenty of online resources available, including learning platforms like DataCamp, Udacity, and edX, especially when they include specific courses on Python programming or machine learning!
Let's see what differences and similarities these two languages have!
Table of Contents
- 2. A Brief Introduction to Python
- 5. Node.js VS Python: Front-End and Back-End Aspect
- 6. Difficulty Comparison: Which is More Beginner-Friendly?
- 8. Mobile Development
- 8.1. Best Options for Developing Mobile Apps
- 9. Node.js vs. Python Performance
- 11. Conclusions
Latest DataCamp Coupon Found:
CLAIM 50% OFF
DataCamp Cyber Monday Deal
DataCamp Cyber Monday special is here! Enjoy a massive 50% off on DataCamp plans. Subscribe now and redefine your data and Al skill set for the better!
A Brief Introduction to Python
It is a general-purpose language, which answers the question is Python front-end or back-end. Because of its simplicity, flexibility, versatility, and other useful features, Python is growing and becoming one of the most popular programming languages around. If you'd like to learn more about where to learn this programming language, you can find our DataCamp Python guide here.
Data science is an upcoming field in which specialists learn to analyze, manipulate raw or structured data. Data scientists usually use several programming languages together (one of them being Python).
- It offers visualization with its D3.js, Plotly.js, and other libraries. By using them, it is easier to create impressive data visualization and dashboards.
Node.js VS Python: Front-End and Back-End Aspect
Is Python frontend or backend? Python actually is a general-purpose language, meaning it is applicable both on the server-side and the client-side. Traditionally, it is more noticeable in backend development.
Difficulty Comparison: Which is More Beginner-Friendly?
Python is usually the beginners-choice, especially for those who do not have any prior programming experience.
- Python code is notorious for being more readable, meaning that it is easier to understand (and write).
- The code in Python has fewer lines than in other languages such as C or C++.
- There are fewer structural rules in Python. For instance, you are not required to write a semicolon after every statement.
- It has many frameworks that contain pre-written code to speed up the development of your projects.
However, despite being easy to learn, Python does require some good navigational skills. After mastering the basics, you should look through available frameworks, see their purposes, and how they can help you produce applications. A detailed analysis of Python libraries is here.
- There are many additional characters, such as curly brackets and semicolons. However, in the newer version of JS, semicolons appear automatically.
In conclusion, it is always easier to learn the language that interests and excites you. Additionally, do not assume that the more theoretical posts you read, the better of a programmer you will become. It is more important to develop actual projects with specific ideas, figuring out possible options, and selecting the best-suited ones.
Table: DataCamp VS edX statistics
One of the purposes of Node.js is that it was designed for scalability and supports asynchronous programming. Therefore, Node.js is much more suitable for the development of programs that depend on the speed of execution.
However, how to use Python for web development? Python is mostly applicable in the server-side. This language has a very stable environment with frameworks such as Flask, Django, Pyramid, and CherryPy, making sure that development becomes more efficient.
Traditionally, Python was not for creating GUI applications. However, frameworks such as Kivy and BeeWare make mobile development with Python possible.
Kivy is an open-source Python library that has an original UI toolkit with its versions of buttons, text entry forms, text labels, etc. It supports both Android and iOS.
Developers also present some cons of using the Kivy framework for Python mobile development. It resembles a game engine more than a native app engine by rendering most of the custom controls in OpenGL instead of using native controls.
BeeWare is still a new library, meaning that it is not the best source of the material. However, it might make it possible to develop native-looking mobile and desktop apps with Python in the future.
Just because you can, does not mean you should. Even though Kivy makes the Python mobile development possible, it is not the first-choice option.
Best Options for Developing Mobile Apps
Node.js vs. Python Performance
Languages cannot be slow or fast. The performance aspect depends on how quickly code executes. The speed of Node.js vs. Python performance is not a complicated dilemma.
However, if you are not developing a real-time application, speed might not be an issue. Python is not notorious for its speed, especially when you use such frameworks as Django.
There are methods of improving the performance of Python by using back-end serverless architecture without any framework. Nevertheless, speed is not the main priority of Python developers.
Table: DataCamp VS Udacity features
If you have chosen one language of these two, you should start learning now! I have picked the best courses for beginners for both of these languages. Udemy and EdX offer great beginner courses for learning Python. These extensive courses are self-paced, so you can learn at your own speed.