Being a full-stack developer is a highly wanted job; besides that, it is also one of the higher-paying jobs.
It was never more attractive than now to become a full-stack developer, that is for sure!
In this article, find out if it’s better to become a full-stack Java or Python developer; find out about their pros and cons and more!
What Is A Full Stack Developer?
To put it simply, a full stack developer is a pro at web development which manages both the front and back end of it.
Many aspiring coders dream of becoming full-stack developers because of their extensive skill set and well-paying careers.
Full-stack developers are in high demand right now. There is, therefore, no better moment than now if you want to begin a career as a full-stack developer!
Per Besant Technologies, there are numerous differences between Java and Python regarding full-stack development.
Let’s see what the most significant differences are.
Full Stack Python
Here is the scenario: you’ve been studying Python programming nonstop. Finally, you are beginning to make sense of the syntax.
When you learn to code with the open-source modules that make Python such an excellent programming ecosystem, you experience your first few “I understand this!” moment as you utilize conditional statements for loops and classes.
You now want to use your foundational knowledge of Python to create something practical, like a web application to wow your friends or offer as a service to clients.
Full Stack Python can help with that.
Full Stack Java
Java full-stack developers are simply web developers with an extensive understanding of full-stack Java-compatible tools and frameworks.
They must be knowledgeable of the Java technology stack to design web apps smoothly. Core Java, servlets, the REST API, and a few more tools are among the technologies.
Not sure which one is better suitable for you? Let’s see the differences.
Full Stack Java Vs. Python: The Syntax
Python’s syntax is straightforward. It is a dynamic language, nevertheless.
Since there are no indentation guidelines, it is appropriate for novices. Python-written code is also simple to read.
Java, on the other hand, has more complex syntactic requirements. The regulations are so stringent that even a minor flaw in the coding causes a program to crash.
Full Stack Java Vs. Python: Performance
Python and Java run on almost the same operating systems because of their cross-platform nature.
In this case, you can assume that both perform similarly, but there are distinctions.
Most importantly, Java’s bytecode compilation is quicker and more straightforward than Python’s.
Additionally, Java coding is less prone to mistakes. Besides that, it is quicker and more effective.
There are certain drawbacks to it, though.
For instance, Java codes can be very challenging to comprehend because they are lengthy. On the other hand, Python works well for complicated programs.
Full Stack Java Vs. Python: Salary
In general, full-stack developers make good money.
As of 2018, the average compensation for a Python Full Stack Developer in the United States was $99,762, although the average salary range is between $85,006 and $112,565.
A Full Stack Java Developer in the US earns around $117,339 in total compensation annually, with an average income of $97,054.
Now let’s review the pros and cons of learning both Java and Python.
Python Pros & Cons
Let’s start with the pros!
First of all, there are fewer codes.
What could be better than a programming language that doesn’t require a lot of coding? This is what Python has to offer, after all.
You can use Python to create prototypes and test concepts for web development.
Also, there is community-wide support.
The most well-known developer community worldwide is Python.
Therefore, a remedy is available anytime you encounter a web development challenge.
To make the process of web development much more straightforward, the community members have created a large number of python web development courses.
These are just some of the pros, of course. Now, let’s review the cons.
Python is a bit sluggish.
Some programmers have voiced concerns about Python’s sluggish performance.
It’s important to note that Python uses an interpreter rather than a compiler, which other programming languages often use when creating projects.
Python is a little slower than other programming languages primarily because of this.
Second, there is a lot of consumption of memory.
Python uses a lot of memory when creating complex web apps. Python, to put it simply, is incompatible with memory restrictions.
Lastly, there are difficulties with game development.
Regarding game development, Python is not regarded as the greatest programming language. It is not suggested to rely on Python due to the slow development of applications.
In other words, since the front and back-end teams speak the same language, they are constantly informed on the status of the entire project.
Additionally, you can manage the entire project with only one team, making the development process more effective.
Also, you can reuse the code more frequently.
This increases the effectiveness of full-stack development and makes it simpler for developers to update and maintain their products.
Now let’s see the cons.
First of all, it is unsuitable for projects requiring plenty of computation.
Yes, Node.js is terrific for enhancing the performance of web applications—unless you’re trying to design one that depends on significant server-side data processing.
You can divide the most challenging jobs into smaller microservices using better tools and then have them “speak” to your back-end to preserve Node.js.
However, that increases the project’s complexity and adds time and money.
Also, there is limited server-side functionality.
Any seasoned back-end engineer can quickly identify the shortcomings of this relative lack of maturity, especially compared to more mature options like PHP or Java.
There is much more to that, but our goal was to show some of them so they can help you gather the differences between being a full-stack java or python developer.
All in all, you won’t make a mistake with either, so don’t worry; go with your gut!