Unsurprisingly, these are two languages that have both similarities as well as differences.
But in today's guide, we'll focus mainly on their differences to help you understand which one is best for you.
In particular, we will look at:
But let's start with the basics.
What is Python?
Python is a programming language commonly used for building websites and software, process automation, and data analysis.
It is a general-purpose language that can be used to build various programs and is not necessarily specialized in specific problems.
This flexibility, together with its friendliness towards novice users, makes it one of the most used languages in the world and the demand for it is constantly increasing.
Fun Fact: Python is named after the television series Monty Python, which was avidly watched by Guido van Rossum, the founder of this language.
As mentioned, Python is used for building websites and software, as well as automating processes.
Since learning it is not particularly difficult compared to many other languages, it is often learned and applied by accountants to do things like organize finances.
Another profession that gets a lot of value from Python is data analysts, since they do complex statistical calculations, data visualization, and machine learning algorithms.
Some things that can be done with Python:
- Machine learning
- Web development
- Software testing
So it becomes clear that although Python is a very user-friendly language, you have a plethora of applications that can make the lives of various professionals easier.
- Adding interactive elements
- Create web & mobile apps
- Building servers
- Game development
Although one is not necessarily better than the other, since it depends on what suits everyone, we can take a detailed look at their differences.
As we mentioned, there is not necessarily a "better" language, but the one that best meets your needs.
Let's take a look.
Difference #1: Libraries
Libraries are essentially collections of pre-written code that developers can use to get their work done faster.
Some examples of Python Libraries are:
And many more.
Let's move on to the next difference between the two.
Difference #2: Job Search
In particular, a recent Stack Overflow survey of over 80,000 professional developers showed that the average annual salary of a JS developer is $56,000, while a Python developer makes $61,000.
Moreover, the annual growth in demand for JS and Python developers is 14% and 18% respectively.
Making it easy to understand why so many professionals are rushing to learn Python.
Difference #3: Utilities
A very important difference is in the applications and utilities of each language.
Although we briefly mentioned them before, it's worth giving them more attention.
In particular, Python is well suited if we want to do things like data analytics, machine learning and general processes that require complex mathematical operations.
Making the uses of these two programming languages quite different, but important depending on the type of work.
So although Python could be said to be easier to learn and have more applications, there are developers for whom JS suits them better.
In a nutshell.
So we've seen some basic things about the two most popular programming languages.
We also saw how they compare to each other and what utilities each can bring to the person using them.
If you're among the many people who think Python is right for them, feel free to apply to the next Python for Data Science course we've created just for you.
In a total of 24 hours you will learn how to write powerful Python commands, how to store and manipulate data from lists and dictionaries, and everything else a professional Python developer needs!