Julia vs Python: Which is the best programming language? Which one should I use for data science? Which one between the two is more versatile? These are just some of the questions you may ask yourself. In this article, we will make a comprehensive comparison between Julia and Python programming languages.
For years, Python has been controlling the hearts of programmers. In fact, they are currently classified among the most common programming languages. One of the reasons is its simplicity and most beginners use it as an ideal platform to start programming. Its diversity makes it an ideal language for experienced developers.
Apart from developing regular applications, Python is a preferred programming language for learning machine data and data analysis. While Python boasts enormous popularity, Julia is also making significant strides in this field. She ranks 50 on the Topi tab of the world's most popular and popular programming languages, and places herself on the map of programming languages and has made many expect to become the most likely alternative to Python Fame and fastest growing ever.
Julia
Apart from developing regular applications, Python is a preferred programming language for learning machine data and data analysis. While Python boasts enormous popularity, Julia is also making significant strides in this field. She ranks 50 on the Topi tab of the world's most popular and popular programming languages, and places herself on the map of programming languages and has made many expect to become the most likely alternative to Python Fame and fastest growing ever.
Comparison: Julia Vs Python
Julia
Julia's programming language was unveiled in 2012 and was designed to address deficiencies in other programming languages including Python. It is also designed to take advantage of the most powerful aspects of other programming languages such as speed and openness. Language is used primarily for data processing and scientific computing.
Unique features of Julia language
1. Compiled and need not be interpreted: Julia is classified as a JIT language and compiled by the LLVM framework. Because it is unexplained, Julia is a fast programming language. C can be compared quickly.
2. Has a direct build that can be understood by beginners. Its composition is very similar to Python.
3. Julia is a dynamically written language. You do not have to specify or sign variables
4. Supports metaprogramming: Julia can be used to create other Julia programs which will have unique icons.
5. Libraries of other programming languages such as C, Fortran and Python can be accessed.
Key features of Python
Python is a high-level object-oriented programming language.
2. Like Julia, Python is a dynamically written language.
3. Python is an interpreted language, and there is no need to compile it.
4. Like C, Python is an open source language. You can download and use it freely.
5. Language can work on any device.
Advantages of Julia language on Python language
Here are the main advantages Julia has for Python
1. Speed
In its default state, Julia's language is still faster than Python. This is possible because Julia uses both type and JIT definitions (Just in time) compilation. Non-optimal versions of Python programming can be matched with Julia's speed.
However, you can increase Python speed by using compiler programs such as PyPy and other external libraries.
2. Automatic memory management
With Julia, you will not be overloaded with memory editing and customization tasks. Language performs these tasks.
3. Building math sentences
It is known that the language of Julia was created specifically for scientific calculations that are used in a mathematical environment. These programming language rules are similar to the mathematical equations commonly used in calculations other than computing. For this reason, Julia can be easily understood by non-programmers.
4. Parallelism
We can not deny the fact that both Julia and Pithon are using parallelism to manage resources. However, Julia is less burdensome in terms of the resources you use compared to Python.
Advantages of Python on Julia
Here are some of the reasons why you choose Python on Julia:
1. Julia is still new
The language of Julia was developed in 2009 and released in 2012. It is still a new language with very few features. On the other hand, Python has been around for decades. Backed by years of R & D.
2. The matrix index starts from 1
Unlike Python, the Julia matrices are 1-indexed. This means that the first element in an array is 0 (zero) instead of one. This feature puts Julia in disagreement with most sports applications.
3. Society
The fact that she is older than Julia means she enjoys the support of a large community. On the other hand, Julia has a small community still in childhood.
4. Compatibility
Python is supported by libraries and third-party programs more than Julia.
Conclusion
From this comparison, you can see that there is a very close relationship between Julia and Pithon. The language that suits you should be the best language for you. All you need is to learn and master any of my programming languages. Will be used to accomplish any specific task.
From this comparison, you can see that there is a very close relationship between Julia and Pithon. The language that suits you should be the best language for you. All you need is to learn and master any of my programming languages. Will be used to accomplish any specific task.
