There are so many programming languages today that it gets very confusing for professionals to decide what language do they want to code in? First, it entirely depends on the demand of the project a person is working on. Second, it also depends on the interest of the individual, what language they feel most comfortable with. And third, the ease of use, which language is the easiest language to use.
There are programming languages for specific purposes. There are front-end languages for front-end development, back-end languages for back-end development.
With the demand for data science increasing day by day, the demand for the language supporting data science is also increasing. One programming language that stands out and is probably the best language for data science with python. The popularity of python is increasing exponentially. There are multiple factors for this increase in popularity. We will talk about a few of them in this article.
1. Dynamic Language
Python is, unlike other more popular (Java, C, C++) languages, a dynamic language. A programmer can understand the importance of a dynamic language because a programmer spends more time debugging code than writing it. There is no need to declare variables in python.
2. Simple Syntax
Again, for a programmer, remembering all the syntaxes in popular programming language could be a nightmare. It becomes very difficult for a programmer to debug a code because of so many braces, brackets, parenthesis, colons and semi-colons. In python, the syntax is much simple compared to other languages.
3. One line and “English” like Commands
Writing a code in python is as simple as writing in the English language. There are many examples like, if a code to change the value of the variable from one variable to another takes three line of code in Java; it will just take one line of code in python.
Java: int temp = x;
X = y;
Y = temp;
Python: x, y = y,x
Readability of Code
Any programmer would spend as much time in debugging as they spend in coding thanks to very complicated syntax and complex nature of popular languages like java. Python, because of being extremely simple in nature, helps in readability of codes. Because of which the debugging becomes easier and the programmer can spend more time writing code than debugging it.
4. Simple and Intuitive data structures
The data structures that python provides is intuitive in nature. Data structures like list, tuples, sets, dictionaries. They are powerful and yet very simple to use.
Because of all these reasons python is on the path of becoming the most popular languages. Python is probably the easiest programming language to learn. In Computer science courses across the globe, python is the first introductory language taught to the students. Also, for data science python is the best language.
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