Recently the term “Julia Programming language” is being thrown around a lot. And why does every start-up use Julia programming as their life depends on it?
Because Julia is just awesome!
This is a top programming language that is taking over the IT world by storm. Well, if you too are new to the concept of Julia, worry not.
In this blog, we shall be discussing all you need to know about Julia’s programming language and the reason why it’s the ideal programming language for start-ups.
What is Julia’s Programming Language?
Julia, a young programming language ( comparatively ) that first popped up in 2009. And ever since then, it has wreaked havoc in the industry.
It is the Captain Marvel of Programming World. For those who aren’t into comics, this means it’s really amazing.
You see, programmers have been made to choose between performance speed and coding speed, for a long time now. And this, if you know anything about coding is very frustrating.
For instance, code that is faster written takes longer to execute, and code that executes fast, is longer to write. This cycle has been going on for a while now.
In fact, this is the same issue Python solved back in its day and this led to its popularity in the development world. However, there was part of the problem that python just can’t solve. This includes things like embedded computing and scientific computing.
Both of these require long codes and can’t tolerate slow execution time. And in the hour of the need, Julia appeared.
This programming language was made for “Quick Computing” without compromising high-level abstraction. This makes this Julia programming language a pleasure to work on and an ideal choice for both machine learning and scientific computing.
Being a star in the high-level programming world, the programming language Julia has been downloaded more than 40 Million Times!
Plus, it is part of more than 8000 packages. On both PYPL Index and TIOBE Index, it’s a top-ranking language. While some do not find the right rank 25th and 27th as “top”, trust us, it’s amazing.
The reason behind its slightly lower rank is the fact that it’s not all that popular. Nevertheless, with the increasing use of SAS and technologies like Scala, Julia coding is bound to take over sooner or later.
What is Julia programming language used for?
Unlike other popular programming languages, Julia is a high-level language. And something with being a High-Level Programming language is that it’s used for a whole different purpose(s).
Enough beating around the bush, let’s look at the top application of Julia programming language.
Numerical Computing
Numerical computing is a top application of Julia coding.
In fact, it’s like it was made for numerical computing. And there are many packages that make Julia that much more compatible with these tasks. All of them are readily available.
So, why is it so suited for Numerical computing? The answer is, it allows LinerAlgebra.jl module, Nonlinear Solve, ForwardDiff, and Enzyme.
Machine Learning
Julia is the top technology for AI & ML Solutions.
What makes it perfect for machine learning operations is that this programming language was BUILT FOR IT.
The creators of Julia made the language for parallelism. That’s why it offers unmatched speed without compromising the given tasks.
This means better training time and reduced cost. This is one of the reasons why an average custom mobile app development company loves it.
Statistics
Scientific Machine Learning isn’t the only function of this programming language. Another thing Julia is “made for” is statistics and statistical analysis.
This is made possible with StatsKit a meta-package. It comes with basic statistical functions and some amazing tools. These tools introduce DataFrames tabular data, probability distributions, multivariate statistical analysis, hypothesis tests, and more.
Parallel Supercomputing
Yes, you heard that right, we are talking about SUPER COMPUTING.
In fact, one of the finest performances of this programming language was for astronomers. The AstroLib.jl bundle was used on the Celeste project.
The project had a whole team of astronomers, physicists, computer engineers, and statisticians. They used Julia’s programming language to create a whole new parallel computing method.
Sometime later this computing method was used to find the most accurate catalog in astronomy. It contained 188 million astronomical objects which were computed in just 14.6 minutes. Sounds like magic, right?
Web Development
Well, apart from its superpowers, Julia programing language is also used for web development. In fact, this is a web development language everyone should learn.
With this out of the way, let’s look at some top reasons why this is the best high level language out there.
3 Reasons Why Julia Programming Language is Take The World By Storm
Every Start is like singing praises of Julia programming language.
But why?
Well, let’s look at the 3 reasons why this programming language has won over everyone.
1) It’s Fast, Very FAST
As we discussed, developers have been compromising between the speed of performance and code speed. But there are some cases, where you can’t choose or ignore either of them.
And you don’t need to. Because Julia is here to save the day.
Calling Julia a fasting programming language is a criminal understatement.
Instead of code interpretation, it complies with it. So, when it comes to speed, there is no other programming language that comes even near to this one.
2) Well, It’s High-Level
There is not much to be said about it.
While there are many programming languages for android development, web development, etc. There are some works that everyday languages can’t satisfy.
We are talking about supercomputing, security work, statistics, and so on. These operations require high-level languages.
And what better high-level language to go for than Julia programming?
3) It Serves the Purpose ( Too Well)
Well, Julia is a programming language that was developed with very specific applications in mind, as we read.
So, it goes without saying that it serves a purpose. And it does it so well, there is no competition that stands against Julia coding in science, mathematics, statistics, and machine learning.
And that’s all you need to know about why every start-up, scientific team, and supercomputer creators love Julia.
But is it better than Python though? Well, let’s find out.
Is Julia Better Than Python?
Python is compared to Julia again and again.
Both of them have similar applications, but when it comes to performance, well there are some big differences.
You see, in terms of speed, there is no competition. And Julia alone outscores Python, R, and Matlab in benchmarking tests.
That’s your answer.
The End
Julia is the unchallenged king of high-level and fast programming languages. And next time you want to hire dedicated developer you can ask for the ones that are familiar with julia language programming.
Niketan Sharma is the CTO of Nimble AppGenie, a prominent website and mobile app development company in the USA that is delivering excellence with a commitment to boosting business growth & maximizing customer satisfaction. He is a highly motivated individual who helps SMEs and startups grow in this dynamic market with the latest technology and innovation.
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